Institution | Level | Sector | Country | World Region | Region | Output | Excellence with Leadership | Normalized Impact | Normalized Impact Leadership | Scientific Talent Pool | Scientific Leadership | International Collaboration | High Quality Publications | Excellence | Innovative Knowledge | Technological Impact | Patents | Open Access | Not Own Journals | Own Journals | PlumX | Mendeley |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
151 | 0 | Health | BRA | Latin America | Sao Paulo | 1,391 | 43 | 1.42 | 0.78 | 1,142 | 558 | 622 | 731 | 188 | 27 | 1.99 | 0 | 62.54 | 1,391 | 0 | 671 | 1,251 |
152 | 1 | Government | BRA | Latin America | Distrito Federal | 3,023 | 207 | 1.05 | 0.96 | 1,916 | 1,702 | 1,161 | 1,831 | 389 | 58 | 1.98 | 0 | 59.71 | 3,023 | 0 | 1,647 | 2,751 |
153 | 0 | Health | BRA | Latin America | Sao Paulo | 602 | 19 | 2.66 | 1.17 | 467 | 230 | 265 | 235 | 99 | 11 | 1.97 | 0 | 60.63 | 602 | 0 | 283 | 503 |
154 | 1 | Others | BRA | Latin America | Sao Paulo | 360 | 33 | 1.26 | 1.12 | 280 | 144 | 145 | 250 | 72 | 7 | 1.97 | 0 | 45.56 | 360 | 0 | 160 | 348 |
155 | 0 | Health | BRA | Latin America | Sao Paulo | 53 | 1 | 0.57 | 0.69 | 63 | 13 | 14 | 10 | 1 | 1 | 1.96 | 0 | 77.36 | 53 | 0 | 14 | 45 |
156 | 0 | Private | BRA | Latin America | Parana | 520 | 17 | 1.39 | 0.63 | 560 | 223 | 196 | 238 | 64 | 10 | 1.95 | 0 | 64.62 | 520 | 0 | 205 | 456 |
157 | 1 | Health | BRA | Latin America | Rio de Janeiro | 681 | 25 | 1.12 | 0.95 | 738 | 290 | 195 | 313 | 80 | 13 | 1.94 | 0 | 65.49 | 681 | 0 | 275 | 624 |
158 | 0 | Private | BRA | Latin America | Parana | 157 | 0 | 0.53 | 0.46 | 112 | 29 | 8 | 36 | 6 | 3 | 1.92 | 0 | 27.39 | 157 | 0 | 6 | 135 |
159 | 0 | Others | BRA | Latin America | Parana | 52 | 1 | 0.88 | 0.58 | 51 | 12 | 19 | 29 | 4 | 1 | 1.92 | 0 | 76.92 | 52 | 0 | 34 | 49 |
160 | 1 | Health | BRA | Latin America | Sao Paulo | 158 | 6 | 1.36 | 0.82 | 191 | 75 | 51 | 60 | 17 | 3 | 1.91 | 0 | 64.56 | 158 | 0 | 70 | 145 |
161 | 1 | Health | BRA | Latin America | Parana | 158 | 2 | 1.29 | 0.30 | 203 | 69 | 23 | 28 | 7 | 3 | 1.91 | 0 | 64.56 | 158 | 0 | 39 | 136 |
162 | 1 | Health | BRA | Latin America | Minas Gerais | 1,174 | 21 | 1.27 | 0.73 | 852 | 458 | 449 | 714 | 111 | 22 | 1.91 | 0 | 76.75 | 1,174 | 0 | 582 | 1,041 |
163 | 0 | Higher educ. | BRA | Latin America | Minas Gerais | 122 | 3 | 0.68 | 0.64 | 118 | 43 | 30 | 30 | 8 | 2 | 1.90 | 1 | 60.66 | 122 | 0 | 30 | 100 |
164 | 2 | Government | BRA | Latin America | Sao Paulo | 161 | 8 | 0.85 | 0.81 | 111 | 86 | 61 | 92 | 13 | 3 | 1.89 | 0 | 62.11 | 161 | 0 | 91 | 150 |
165 | 1 | Others | BRA | Latin America | Rio de Janeiro | 165 | 6 | 0.61 | 0.64 | 151 | 84 | 31 | 62 | 11 | 3 | 1.88 | 2 | 20 | 165 | 0 | 17 | 150 |
166 | 1 | Government | BRA | Latin America | Ceara | 603 | 23 | 0.89 | 0.90 | 199 | 216 | 115 | 261 | 60 | 11 | 1.88 | 0 | 51.41 | 603 | 0 | 149 | 533 |
167 | 0 | Health | BRA | Latin America | Sao Paulo | 166 | 3 | 1.49 | 0.50 | 171 | 60 | 58 | 74 | 25 | 3 | 1.85 | 0 | 64.46 | 166 | 0 | 68 | 142 |
168 | 1 | Government | BRA | Latin America | Sao Paulo | 722 | 63 | 1.23 | 1.30 | 278 | 305 | 213 | 416 | 122 | 13 | 1.83 | 0 | 37.40 | 722 | 0 | 156 | 663 |
169 | 2 | Government | BRA | Latin America | Sao Paulo | 277 | 3 | 0.59 | 0.45 | 184 | 121 | 66 | 97 | 12 | 5 | 1.83 | 0 | 39.71 | 277 | 0 | 34 | 231 |
170 | 0 | Health | BRA | Latin America | Sao Paulo | 120 | 20 | 2.41 | 2.43 | 12 | 52 | 106 | 58 | 42 | 2 | 1.82 | 0 | 60.83 | 120 | 0 | 49 | 106 |
171 | 0 | Higher educ. | BRA | Latin America | Distrito Federal | 1,105 | 47 | 0.73 | 0.62 | 854 | 532 | 415 | 462 | 101 | 18 | 1.82 | 3 | 59.19 | 1,105 | 0 | 458 | 972 |
172 | 0 | Health | BRA | Latin America | Parana | 174 | 1 | 1.90 | 0.61 | 165 | 37 | 62 | 66 | 18 | 3 | 1.81 | 0 | 67.82 | 174 | 0 | 70 | 158 |
173 | 0 | Health | BRA | Latin America | Sao Paulo | 726 | 18 | 1.03 | 0.71 | 598 | 255 | 211 | 378 | 76 | 13 | 1.80 | 0 | 63.22 | 726 | 0 | 321 | 663 |
174 | 0 | Health | BRA | Latin America | Para | 114 | 1 | 0.62 | 0.53 | 162 | 25 | 22 | 44 | 7 | 2 | 1.79 | 0 | 69.30 | 114 | 0 | 42 | 95 |
175 | 0 | Government | BRA | Latin America | Sao Paulo | 297 | 9 | 1.12 | 0.70 | 189 | 104 | 83 | 103 | 41 | 5 | 1.78 | 4 | 26.94 | 297 | 0 | 59 | 256 |
176 | 0 | Health | BRA | Latin America | Sao Paulo | 758 | 21 | 1.62 | 0.74 | 664 | 304 | 434 | 398 | 91 | 13 | 1.77 | 3 | 60.29 | 758 | 0 | 344 | 687 |
177 | 0 | Government | BRA | Latin America | Rio de Janeiro | 291 | 15 | 0.87 | 0.90 | 245 | 118 | 88 | 166 | 38 | 5 | 1.77 | 0 | 28.18 | 291 | 0 | 44 | 267 |
178 | 1 | Others | BRA | Latin America | Distrito Federal | 229 | 11 | 0.98 | 1.19 | 234 | 74 | 69 | 109 | 28 | 4 | 1.76 | 0 | 38.43 | 229 | 0 | 49 | 203 |
179 | 0 | Health | BRA | Latin America | Sao Paulo | 1,242 | 27 | 1.71 | 0.84 | 1,069 | 518 | 523 | 602 | 146 | 21 | 1.75 | 0 | 64.41 | 1,242 | 0 | 583 | 1,123 |
180 | 2 | Health | BRA | Latin America | Sao Paulo | 57 | 1 | 0.72 | 0.70 | 54 | 24 | 26 | 40 | 4 | 1 | 1.75 | 0 | 77.19 | 57 | 0 | 34 | 54 |
181 | 0 | Government | BRA | Latin America | Pernambuco | 116 | 21 | 1.15 | 1.18 | 111 | 85 | 19 | 46 | 30 | 2 | 1.74 | 0 | 45.69 | 116 | 0 | 29 | 107 |
182 | 1 | Government | BRA | Latin America | Mato Grosso do Sul | 232 | 5 | 0.74 | 0.87 | 109 | 58 | 65 | 101 | 9 | 4 | 1.73 | 0 | 70.69 | 232 | 0 | 72 | 218 |
183 | 1 | Health | BRA | Latin America | Parana | 174 | 3 | 0.93 | 0.40 | 216 | 64 | 65 | 65 | 20 | 3 | 1.73 | 0 | 65.52 | 174 | 0 | 66 | 152 |
184 | 0 | Higher educ. | BRA | Latin America | Sao Paulo | 58 | 2 | 0.65 | 0.55 | 23 | 18 | 13 | 32 | 5 | 1 | 1.72 | 0 | 29.31 | 58 | 0 | 8 | 55 |
185 | 0 | Higher educ. | BRA | Latin America | Bahia | 58 | 0 | 0.51 | 0.58 | 50 | 20 | 10 | 13 | 0 | 1 | 1.72 | 0 | 67.24 | 58 | 0 | 8 | 45 |
186 | 2 | Health | BRA | Latin America | Rio Grande do Sul | 58 | 2 | 0.83 | 0.44 | 92 | 34 | 13 | 40 | 7 | 1 | 1.72 | 0 | 65.52 | 58 | 0 | 30 | 49 |
187 | 1 | Health | BRA | Latin America | Rio de Janeiro | 1,170 | 54 | 1.79 | 1.22 | 734 | 379 | 525 | 732 | 180 | 20 | 1.72 | 0 | 79.23 | 1,170 | 0 | 634 | 1,031 |
188 | 0 | Government | BRA | Latin America | Sao Paulo | 267 | 20 | 0.84 | 0.79 | 312 | 178 | 80 | 134 | 33 | 4 | 1.69 | 5 | 61.42 | 267 | 0 | 119 | 227 |
189 | 0 | Health | BRA | Latin America | Pernambuco | 61 | 0 | 1.61 | 0.74 | 78 | 22 | 14 | 17 | 4 | 1 | 1.69 | 0 | 68.85 | 61 | 0 | 21 | 49 |
190 | 0 | Higher educ. | BRA | Latin America | Sao Paulo | 250 | 10 | 0.73 | 0.69 | 347 | 138 | 42 | 80 | 20 | 3 | 1.68 | 0 | 51.20 | 250 | 0 | 42 | 223 |
191 | 1 | Higher educ. | BRA | Latin America | Parana | 309 | 14 | 1.71 | 0.76 | 316 | 143 | 117 | 163 | 41 | 5 | 1.66 | 0 | 69.58 | 309 | 0 | 134 | 271 |
192 | 0 | Health | BRA | Latin America | Amazonas | 485 | 16 | 1.37 | 1.63 | 526 | 185 | 211 | 292 | 63 | 8 | 1.66 | 0 | 85.57 | 485 | 0 | 278 | 441 |
193 | 2 | Health | BRA | Latin America | Rio de Janeiro | 183 | 14 | 0.90 | 1 | 143 | 112 | 55 | 117 | 19 | 3 | 1.65 | 0 | 56.83 | 183 | 0 | 113 | 171 |
194 | 0 | Health | BRA | Latin America | Sao Paulo | 61 | 1 | 2.59 | 0.33 | 118 | 22 | 21 | 26 | 6 | 1 | 1.64 | 0 | 72.13 | 61 | 0 | 22 | 47 |
195 | 0 | Health | BRA | Latin America | Ceara | 125 | 0 | 0.86 | 0.43 | 137 | 21 | 71 | 24 | 14 | 2 | 1.63 | 0 | 72.80 | 125 | 0 | 47 | 113 |
196 | 0 | Health | BRA | Latin America | Mato Grosso do Sul | 124 | 0 | 2.15 | 0.35 | 184 | 66 | 15 | 26 | 4 | 2 | 1.63 | 0 | 79.84 | 124 | 0 | 32 | 112 |
197 | 1 | Health | BRA | Latin America | Rio de Janeiro | 846 | 44 | 2.83 | 1.49 | 515 | 337 | 467 | 529 | 139 | 13 | 1.62 | 0 | 68.91 | 846 | 0 | 494 | 744 |
198 | 0 | Health | BRA | Latin America | Sao Paulo | 124 | 0 | 1.07 | 0.16 | 71 | 36 | 83 | 52 | 9 | 2 | 1.61 | 0 | 60.48 | 124 | 0 | 49 | 113 |
199 | 0 | Health | BRA | Latin America | Alagoas | 64 | 0 | 0.61 | 0.34 | 82 | 20 | 17 | 19 | 2 | 1 | 1.61 | 0 | 60.94 | 64 | 0 | 15 | 59 |
200 | 0 | Others | BRA | Latin America | Bahia | 64 | 0 | 18.98 | 0.30 | 55 | 17 | 26 | 30 | 5 | 1 | 1.61 | 0 | 71.88 | 64 | 0 | 29 | 56 |