Bern-Thomas Nyang’wa

33 total papers · 778 total citations
15 papers, 308 citations indexed

About

Bern-Thomas Nyang’wa is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Bern-Thomas Nyang’wa has authored 15 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 6 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Bern-Thomas Nyang’wa's work include Tuberculosis Research and Epidemiology (12 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Bern-Thomas Nyang’wa is often cited by papers focused on Tuberculosis Research and Epidemiology (12 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Bern-Thomas Nyang’wa collaborates with scholars based in United Kingdom, Netherlands and United States. Bern-Thomas Nyang’wa's co-authors include Philipp du Cros, Katherine Fielding, Catherine Berry, Ilaria Motta, Emil Kazounis, David Moore, Timothy D. McHugh, Matthew Dodd, Nosipho Ngubane and Nargiza Parpieva and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Bern-Thomas Nyang’wa

13 papers receiving 295 citations

Hit Papers

A 24-Week, All-Oral Regim... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Bern-Thomas Nyang’wa 270 172 93 40 21 15 308
Catherine Berry 203 0.8× 138 0.8× 79 0.8× 46 1.1× 10 0.5× 14 296
Daniel Meressa 316 1.2× 253 1.5× 109 1.2× 20 0.5× 22 1.0× 6 356
Alberto Roggi 220 0.8× 164 1.0× 62 0.7× 41 1.0× 13 0.6× 16 313
Zinaida Tigay 333 1.2× 246 1.4× 121 1.3× 25 0.6× 19 0.9× 12 362
Lilian Tina Minja 274 1.0× 194 1.1× 77 0.8× 28 0.7× 6 0.3× 15 318
Deanne Langlois-Klassen 215 0.8× 148 0.9× 102 1.1× 12 0.3× 20 1.0× 13 358
Julian te Riele 294 1.1× 228 1.3× 89 1.0× 30 0.8× 12 0.6× 7 335
Wei Lü 202 0.7× 163 0.9× 51 0.5× 35 0.9× 12 0.6× 21 331
Oswaldo Jave 224 0.8× 183 1.1× 82 0.9× 19 0.5× 7 0.3× 17 274
Nimalan Arinaminpathy 267 1.0× 167 1.0× 44 0.5× 19 0.5× 36 1.7× 22 362

Countries citing papers authored by Bern-Thomas Nyang’wa

Since Specialization
Citations

This map shows the geographic impact of Bern-Thomas Nyang’wa'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 Bern-Thomas Nyang’wa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bern-Thomas Nyang’wa more than expected).

Fields of papers citing papers by Bern-Thomas Nyang’wa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bern-Thomas Nyang’wa. 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 Bern-Thomas Nyang’wa. The network helps show where Bern-Thomas Nyang’wa may publish in the future.

Co-authorship network of co-authors of Bern-Thomas Nyang’wa

This figure shows the co-authorship network connecting the top 25 collaborators of Bern-Thomas Nyang’wa. A scholar is included among the top collaborators of Bern-Thomas Nyang’wa 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 Bern-Thomas Nyang’wa. Bern-Thomas Nyang’wa 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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