William Sambisa

29 total papers · 706 total citations
19 papers, 545 citations indexed

About

William Sambisa is a scholar working on General Health Professions, Infectious Diseases and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, William Sambisa has authored 19 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Health Professions, 9 papers in Infectious Diseases and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in William Sambisa's work include Adolescent Sexual and Reproductive Health (12 papers), HIV/AIDS Research and Interventions (8 papers) and Global Maternal and Child Health (7 papers). William Sambisa is often cited by papers focused on Adolescent Sexual and Reproductive Health (12 papers), HIV/AIDS Research and Interventions (8 papers) and Global Maternal and Child Health (7 papers). William Sambisa collaborates with scholars based in United States, Nigeria and France. William Sambisa's co-authors include Siân Curtis, Vinod Mishra, Gustavo Ángeles, Ruchira Tabassum Naved, Peter Lance, Emily Evens, C. Shannon Stokes, Kavita Singh, Sharon S. Weir and Nosa Orobaton and has published in prestigious journals such as Drug and Alcohol Dependence, Health & Place and International Journal of Gynecology & Obstetrics.

In The Last Decade

William Sambisa

18 papers receiving 507 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William Sambisa 290 180 175 142 140 19 545
Helen Lugina 218 0.8× 82 0.5× 198 1.1× 117 0.8× 108 0.8× 23 466
Aklilu Kidanu 339 1.2× 289 1.6× 121 0.7× 73 0.5× 162 1.2× 18 581
Oluwaseyi Dolapo Somefun 340 1.2× 118 0.7× 247 1.4× 57 0.4× 138 1.0× 40 598
Tumaini Nyamhanga 315 1.1× 133 0.7× 225 1.3× 64 0.5× 76 0.5× 44 577
Annie Michaelis 307 1.1× 252 1.4× 165 0.9× 58 0.4× 116 0.8× 14 596
Neema Nakyanjo 379 1.3× 316 1.8× 150 0.9× 65 0.5× 167 1.2× 46 616
Clea Sarnquist 234 0.8× 210 1.2× 81 0.5× 196 1.4× 77 0.6× 43 558
Boniface Ayanbekongshie Ushie 251 0.9× 136 0.8× 223 1.3× 53 0.4× 69 0.5× 42 517
Daniel Nyato 244 0.8× 207 1.1× 90 0.5× 40 0.3× 163 1.2× 21 491
Kim Longfield 272 0.9× 163 0.9× 131 0.7× 35 0.2× 158 1.1× 32 490

Countries citing papers authored by William Sambisa

Since Specialization
Citations

This map shows the geographic impact of William Sambisa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William Sambisa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Sambisa more than expected).

Fields of papers citing papers by William Sambisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Sambisa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William Sambisa. The network helps show where William Sambisa may publish in the future.

Co-authorship network of co-authors of William Sambisa

This figure shows the co-authorship network connecting the top 25 collaborators of William Sambisa. A scholar is included among the top collaborators of William Sambisa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William Sambisa. William Sambisa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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