Gibril Ndow

1.7k citations
32 papers · 729 · h-index 12

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 27
    • Liver Disease Diagnosis and Treatment 15
    • Hepatitis C virus research 21
    • Hepatitis Viruses Studies and Epidemiology 10
    • Liver Disease and Transplantation 3

Gibril Ndow

29 papers receiving 719 citations

Peers

Gibril Ndow
Comparison fields: 5 of 64
  • Hepatology 581
  • Epidemiology 623
  • Infectious Diseases 91
  • Modeling and Simulation 21
  • Health 36
Replace Jean Damascène Makuza with:
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Citations per field
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Jean Damascène Makuza · 1×
Citations per year

Countries citing papers authored by Gibril Ndow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gibril Ndow Line = papers co-authored together Gibril Ndow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015256
2 2015119
3 201570
4 202236
5 202029
6 201529
7 202224
8 202023
9 202319
10 201718
11 201516
12 202314
13 201711
14 202111
15 20238
16 20167
17 20227
18 20245
19 20155
20 20224

About Gibril Ndow

Gibril Ndow is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Sociology and Political Science and Emergency Medical Services, having authored 32 papers that have together received 729 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (27 papers), Hepatitis C virus research (21 papers), Liver Disease Diagnosis and Treatment (15 papers), Hepatitis Viruses Studies and Epidemiology (10 papers), Viral Infections and Outbreaks Research (6 papers), Liver Disease and Transplantation (3 papers), Disaster Response and Management (2 papers) and Disaster Management and Resilience (2 papers). The work is most often cited by research in Hepatology (581 citations), Epidemiology (623 citations), Infectious Diseases (91 citations), Modeling and Simulation (21 citations) and Health (36 citations). Gibril Ndow has collaborated with scholars based in United Kingdom, Gambia and France. Frequent co-authors include Maud Lemoine, Yusuke Shimakawa, Mark Thursz, Ramou Njie, Umberto D’Alessandro, Makie Taal, Robert Goldin, Shevanthi Nayagam, Penda Suso and Harr Freeya Njai. Their work appears in journals such as Journal of Hepatology, ˜The œLancet. Gastroenterology & hepatology, Journal of Global Health, Gut and The Lancet 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.

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