| Literature DB >> 35186648 |
Ulrick Sidney Kanmounye1,2, John L Dutton1, Priyanka Naidu1, Chifundo Msokera1,3, Zachary J Collier1, Maria Fernanda Tapia1, Shady Mikhail1, Meredith Xepoleas1, Allyn Auslander1, Caroline A Yao1,4,5, William Magee1,4,5,6.
Abstract
Cleft lip and palate (CLP) comprise over 90% of the world's congenital anomalies and cause significant disability worldwide, while disproportionally burdening low- and middle-income countries (LMICs). Research can help inform strategies that reduce disparities in accessing CLP care. We performed a scientometric analysis of CLP research in LMICs to identify influential contributors and themes.Entities:
Year: 2022 PMID: 35186648 PMCID: PMC8846345 DOI: 10.1097/GOX.0000000000004122
Source DB: PubMed Journal: Plast Reconstr Surg Glob Open ISSN: 2169-7574
Journals that Published 10 or More Research Articles on Cleft Lip and Palate Surgery in Low- and Middle-income Countries
| Journal | Articles | Citations | Citations per Article (mean) | Total Link Strength | Total Link Strength per Article |
|---|---|---|---|---|---|
|
| 281 | 3679 | 13.1 | 1075 | 3.8 |
|
| 98 | 744 | 7.6 | 412 | 4.2 |
|
| 38 | 699 | 18.4 | 253 | 6.7 |
|
| 34 | 204 | 6.0 | 158 | 4.6 |
|
| 34 | 604 | 17.8 | 227 | 6.7 |
|
| 28 | 644 | 23.0 | 227 | 8.1 |
|
| 20 | 123 | 6.2 | 114 | 5.7 |
|
| 20 | 510 | 25.5 | 185 | 9.3 |
|
| 17 | 188 | 11.1 | 125 | 7.4 |
|
| 16 | 392 | 24.5 | 73 | 4.6 |
|
| 14 | 163 | 11.6 | 72 | 5.1 |
|
| 14 | 66 | 4.7 | 78 | 5.6 |
|
| 13 | 211 | 16.2 | 90 | 6.9 |
|
| 13 | 207 | 15.9 | 104 | 8.0 |
|
| 12 | 37 | 3.1 | 30 | 2.5 |
|
| 10 | 77 | 7.7 | 62 | 6.2 |
|
| 10 | 373 | 37.3 | 105 | 10.5 |
|
| 10 | 148 | 14.8 | 74 | 7.4 |
|
| 10 | 216 | 21.6 | 76 | 7.6 |
Most Prolific Authors of Cleft Lip and Palate Surgery in Low- and Middle-income Countries
| Author | Articles | Citations | Citations per Article | Total Link Strength | Total Link Strength per Article |
|---|---|---|---|---|---|
| Marazita, ML | 33 | 1073 | 32.5 | 178 | 5.4 |
| Shi, B | 27 | 249 | 9.2 | 95 | 3.5 |
| Murray, JC | 22 | 794 | 36.1 | 127 | 5.8 |
| Campbell, A | 18 | 158 | 8.8 | 79 | 4.4 |
| Mossey, PA | 15 | 926 | 61.7 | 61 | 4.1 |
| Castilla, EE | 15 | 248 | 16.5 | 88 | 5.9 |
| Vieira, AR | 14 | 288 | 20.6 | 91 | 6.5 |
| Cooper, ME | 13 | 426 | 32.8 | 59 | 4.5 |
| Magee, WP III | 12 | 156 | 13.0 | 48 | 4.0 |
| Restrepo, C | 12 | 102 | 8.5 | 59 | 4.9 |
| Costa, B | 10 | 223 | 22.3 | 21 | 2.1 |
| Gomide, MR | 10 | 223 | 22.3 | 21 | 2.1 |
| Orioli, IM | 10 | 191 | 19.1 | 69 | 6.9 |
| Zheng, Q | 10 | 72 | 7.2 | 34 | 3.4 |
| Beaty, TH | 9 | 237 | 26.3 | 99 | 11.0 |
| Butali, A | 9 | 52 | 5.8 | 63 | 7.0 |
| Meara, JG | 9 | 356 | 39.6 | 28 | 3.1 |
| Melnick, M | 9 | 162 | 18.0 | 29 | 3.2 |
| Poenaru, D | 9 | 135 | 15.0 | 15 | 1.7 |
| Wendby, L | 9 | 59 | 6.6 | 32 | 3.6 |
| Gil-Da-Silva-Lopes, VL | 8 | 47 | 5.9 | 32 | 4.0 |
| Klassen, AF | 8 | 190 | 23.8 | 50 | 6.3 |
| Liu, Y | 8 | 179 | 22.4 | 36 | 4.5 |
| Song, T | 8 | 55 | 6.9 | 41 | 5.1 |
| Tsangaris, E | 8 | 190 | 23.8 | 50 | 6.3 |
| Wang, Y | 8 | 65 | 8.1 | 30 | 3.8 |
| Yin, H | 8 | 63 | 7.9 | 27 | 3.4 |
| Ayala, R | 7 | 86 | 12.3 | 38 | 5.4 |
| Czeizel, AE | 7 | 243 | 34.7 | 4 | 0.6 |
| Dalben, GDS | 7 | 49 | 7.0 | 8 | 1.1 |
| Jiao, X | 7 | 56 | 8.0 | 27 | 3.9 |
| Letra, A | 7 | 164 | 23.4 | 61 | 8.7 |
| Ren, A | 7 | 96 | 13.7 | 37 | 5.3 |
| Riff, KWYW | 7 | 99 | 14.1 | 45 | 6.4 |
| Rossell-Perry, P | 7 | 29 | 4.1 | 4 | 0.6 |
| Sarma, H | 7 | 91 | 13.0 | 40 | 5.7 |
| Schonmeyr, B | 7 | 40 | 5.7 | 28 | 4.0 |
| Van Lierde, K | 7 | 24 | 3.4 | 36 | 5.1 |
| Vanderburg, R | 7 | 46 | 6.6 | 35 | 5.0 |
| Yao, CA | 7 | 108 | 15.4 | 36 | 5.1 |
| Alam, MK | 6 | 29 | 4.8 | 10 | 1.7 |
| Alonso, N | 6 | 81 | 13.5 | 18 | 3.0 |
| Bruneel, L | 6 | 15 | 2.5 | 34 | 5.7 |
| Coletta, RD | 6 | 92 | 15.3 | 30 | 5.0 |
| Daack-Hirsch, S | 6 | 162 | 27.0 | 24 | 4.0 |
| Deshpande, G | 6 | 49 | 8.2 | 41 | 6.8 |
| Field, LL | 6 | 175 | 29.2 | 25 | 4.2 |
Country Affiliation of Cleft Lip and Palate Surgery Literature in Low- and Middle-income Countries (Only Countries with Five or More Articles Are Shown)
| Country | Articles | Citations | Citations per Article | Total Link Strength | Total Link Strength per Article |
|---|---|---|---|---|---|
| United States of America | 454 | 9647 | 21.2 | 435 | 1.0 |
| Brazil | 211 | 3410 | 16.2 | 119 | 0.6 |
| China | 175 | 2181 | 12.5 | 74 | 0.4 |
| India | 127 | 1069 | 8.4 | 66 | 0.5 |
| England | 89 | 2336 | 26.2 | 116 | 1.3 |
| Canada | 60 | 2099 | 35.0 | 102 | 1.7 |
| Nigeria | 51 | 416 | 8.2 | 46 | 0.9 |
| Turkey | 43 | 309 | 7.2 | 26 | 0.6 |
| Argentina | 41 | 1088 | 26.5 | 73 | 1.8 |
| Iran | 40 | 271 | 6.8 | 7 | 0.2 |
| Saudi Arabia | 36 | 232 | 6.4 | 28 | 0.8 |
| South Korea | 34 | 371 | 10.9 | 22 | 0.6 |
| Netherlands | 33 | 403 | 12.2 | 68 | 2.1 |
| Chile | 31 | 280 | 9.0 | 30 | 1.0 |
| Australia | 30 | 546 | 18.2 | 45 | 1.5 |
| Colombia | 30 | 814 | 27.1 | 45 | 1.5 |
| Japan | 30 | 680 | 22.7 | 36 | 1.2 |
| Mexico | 30 | 284 | 9.5 | 22 | 0.7 |
| Germany | 28 | 621 | 22.2 | 30 | 1.1 |
| Scotland | 28 | 1328 | 47.4 | 64 | 2.3 |
| South Africa | 28 | 142 | 5.1 | 40 | 1.4 |
| Egypt | 25 | 145 | 5.8 | 24 | 1.0 |
| Malaysia | 25 | 203 | 8.1 | 16 | 0.6 |
| France | 24 | 225 | 9.4 | 24 | 1.0 |
| Thailand | 24 | 115 | 4.8 | 7 | 0.3 |
| Italy | 22 | 331 | 15.0 | 37 | 1.7 |
| Uganda | 22 | 279 | 12.7 | 30 | 1.4 |
| Switzerland | 21 | 397 | 18.9 | 48 | 2.3 |
| Pakistan | 20 | 149 | 7.5 | 11 | 0.6 |
| Sweden | 20 | 409 | 20.5 | 47 | 2.4 |
| Taiwan | 17 | 221 | 13.0 | 29 | 1.7 |
| Hungary | 16 | 467 | 29.2 | 13 | 0.8 |
| Poland | 16 | 118 | 7.4 | 15 | 0.9 |
| Belgium | 15 | 194 | 12.9 | 21 | 1.4 |
| Indonesia | 15 | 79 | 5.3 | 19 | 1.3 |
| Ethiopia | 14 | 106 | 7.6 | 42 | 3.0 |
| Ghana | 14 | 92 | 6.6 | 34 | 2.4 |
| Jordan | 14 | 151 | 10.8 | 8 | 0.6 |
| Russia | 14 | 36 | 2.6 | 11 | 0.8 |
| Norway | 13 | 277 | 21.3 | 46 | 3.5 |
| Peru | 13 | 63 | 4.8 | 2 | 0.2 |
| Philippines | 13 | 779 | 59.9 | 28 | 2.2 |
| Czech Republic | 12 | 163 | 13.6 | 18 | 1.5 |
| Nepal | 11 | 102 | 9.3 | 5 | 0.5 |
| Kenya | 10 | 101 | 10.1 | 11 | 1.1 |
| Spain | 10 | 78 | 7.8 | 36 | 3.6 |
| Singapore | 9 | 205 | 22.8 | 25 | 2.8 |
| Denmark | 8 | 814 | 101.8 | 24 | 3.0 |
| Venezuela | 8 | 428 | 53.5 | 6 | 0.8 |
| Vietnam | 8 | 46 | 5.8 | 11 | 1.4 |
| Democratic Republic of Congo | 7 | 20 | 2.9 | 3 | 0.4 |
| Wales | 7 | 100 | 14.3 | 15 | 2.1 |
| Croatia | 6 | 38 | 6.3 | 14 | 2.3 |
| Estonia | 6 | 27 | 4.5 | 5 | 0.8 |
| Iraq | 6 | 11 | 1.8 | 5 | 0.8 |
| Ireland | 6 | 175 | 29.2 | 25 | 4.2 |
| Portugal | 6 | 7 | 1.2 | 9 | 1.5 |
| Slovakia | 6 | 19 | 3.2 | 6 | 1.0 |
| Honduras | 5 | 71 | 14.2 | 10 | 2.0 |
| Israel | 5 | 252 | 50.4 | 4 | 0.8 |
| Latvia | 5 | 91 | 18.2 | 7 | 1.4 |
| New Zealand | 5 | 63 | 12.6 | 7 | 1.4 |
| Sri Lanka | 5 | 59 | 11.8 | 7 | 1.4 |
| Tanzania | 5 | 52 | 10.4 | 5 | 1.0 |
Fig. 1.Co-authorship analysis of low- and middle-income country cleft lip and palate research disaggregated by institutional affiliation. The circles (nodes) represent institutions, and the lines (links) represent collaborations. The circle size is a measure of the institutions’ collaboration. The total link strength is a measure of the institutions’ collaborations. Influential institutions have larger circles and their names written over circles. Institutions that have regular collaborations share the same color (clusters).
Fig. 2.Analysis of keyword occurrence (ie, titles, abstracts, and author-generated keywords) of low- and middle-income country cleft lip and palate research. The circles (nodes) represent keywords that appeared five times or more, and the lines (links) represent the co-occurrence of two keywords. Thus, the circle size is a measure of the keyword’s connectivity. Influential keywords appear as words written over their corresponding circles. Thus, the article themes or clusters are represented by circles having the same color.
Fig. 3.Analysis of keyword occurrence (ie, titles, abstracts, and author-generated keywords) of low- and middle-income country cleft lip and palate research. The circles (nodes) represent keywords that appeared five times or more, and the lines (links) represent the co-occurrence of two keywords. The circle size is a measure of the keyword’s connectivity. Influential keywords appear as words written over their corresponding circles. The color gradient is the average publication year of the keywords. Recent keywords are closer to yellow (2016), whereas older keywords are closer to blue (2008).