Gibril Ndow
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Epidemiology top 5%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 27
- Hepatitis B Virus Studies 27
- Liver Disease Diagnosis and Treatment 7
- Hepatology 13
- Hepatitis C virus research 12
- Hepatitis Viruses Studies and Epidemiology 7
- Co-authors
- Maud Lemoine (26 shared papers)Yusuke Shimakawa (23 shared papers)Mark Thursz (17 shared papers)Umberto D’Alessandro (16 shared papers)Ramou Njie (12 shared papers)Makie Taal (5 shared papers)Robert Goldin (3 shared papers)Shevanthi Nayagam (6 shared papers)
- Journals
- Journal of Hepatology (5 papers)The Lancet. Gastroenterology & hepatology (3 papers)The Lancet Global Health (2 papers)PLoS ONE (2 papers)Journal of Global Health (2 papers)
- Partner nations
- United KingdomGambiaFrance
In The Last Decade
Gibril Ndow
30 papers receiving 756 citations
Peers
Comparison fields: 5 of 60
- Hepatology 360
- Epidemiology 550
- Infectious Diseases 62
- Modeling and Simulation 16
- Health 24
Countries citing papers authored by Gibril Ndow
This map shows the geographic impact of Gibril Ndow'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 Gibril Ndow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gibril Ndow more than expected).
Fields of papers citing papers by Gibril Ndow
This network shows the impact of papers produced by Gibril Ndow. 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 Gibril Ndow. The network helps show where Gibril Ndow may publish in the future.
Co-authors
The 25 scholars most cited alongside Gibril Ndow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 261 | |
| 2 | 2015 | 120 | |
| 3 | 2015 | 71 | |
| 4 | 2022 | 43 | |
| 5 | 2020 | 31 | |
| 6 | 2015 | 29 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2017 | 18 | |
| 11 | 2015 | 17 | |
| 12 | 2023 | 17 | |
| 13 | 2017 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2015 | 5 |
About Gibril Ndow
Gibril Ndow is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Sociology and Political Science and Emergency Medical Services, having authored 34 papers that have together received 766 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (27 papers), Hepatitis C virus research (12 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Viral Infections and Outbreaks Research (5 papers), Disaster Response and Management (2 papers), Disaster Management and Resilience (2 papers) and Amoebic Infections and Treatments (1 paper). The work is most often cited by research in Hepatology (360 citations), Epidemiology (550 citations), Infectious Diseases (62 citations), Modeling and Simulation (16 citations) and Health (24 citations). Gibril Ndow has collaborated with scholars based in United Kingdom, Gambia and France. Frequent co-authors include Maud Lemoine, Yusuke Shimakawa, Mark Thursz, Umberto D’Alessandro, Ramou Njie, Makie Taal, Robert Goldin, Shevanthi Nayagam, Penda Suso and P.S. Mbaye. Their work appears in journals such as Journal of Hepatology, The Lancet. Gastroenterology & hepatology, The Lancet Global Health, PLoS ONE and Journal of Global Health.
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.