Ebrima Bah

1.2k citations
14 papers · 457 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 5
    • Liver Disease Diagnosis and Treatment 4
    • Data-Driven Disease Surveillance 1
    • Global Cancer Incidence and Screening 2

Ebrima Bah

12 papers receiving 444 citations

Peers

Ebrima Bah
Comparison fields: 5 of 48
  • Hepatology 128
  • Epidemiology 222
  • Oncology 109
  • Cancer Research 50
  • Plant Science 45
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Zhiyuan Wu China
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Keith C.K. Lau Canada
Sabine MacNelly Germany
Thomas London United States
Daw‐Jen Tsuei Taiwan
Khadija Rebbani Morocco
Pamela Valva Argentina
Ebrima Bah relative to Zhiyuan Wu China Zhiyuan Wu's profile →
Citations per field
00.5×5.3×
Zhiyuan Wu · 1×
Citations per year

Countries citing papers authored by Ebrima Bah

Since Specialization
Citations

This map shows the geographic impact of Ebrima Bah'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 Ebrima Bah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ebrima Bah more than expected).

Fields of papers citing papers by Ebrima Bah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ebrima Bah. 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 Ebrima Bah. The network helps show where Ebrima Bah may publish in the future.

Co-authors

The 25 scholars most cited alongside Ebrima Bah, 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 Ebrima Bah Line = papers co-authored together Ebrima Bah links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200770
2 200861
3 200856
4 201341
5 201238
6 201035
7 201235
8 201232
9 201131
10 201123
11 201020
12 201315
13
Liver cancer prevention in The Gambia, West Africa.
20060
14 20240

About Ebrima Bah

Ebrima Bah is a scholar working on Epidemiology, Oncology, Hepatology, Infectious Diseases and Neurology, having authored 14 papers that have together received 457 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis C virus research (3 papers), Global Cancer Incidence and Screening (2 papers), COVID-19 Clinical Research Studies (1 paper), Census and Population Estimation (1 paper), Long-Term Effects of COVID-19 (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Hepatology (128 citations), Epidemiology (222 citations), Oncology (109 citations), Cancer Research (50 citations) and Plant Science (45 citations). Ebrima Bah has collaborated with scholars based in France, Gambia and United States. Frequent co-authors include Pierre Hainaut, Maimuna Mendy, Andrew J. Hall, Hilton Whittle, Gregory D. Kirk, Olufunmilayo Lesi, Omar Sam, Marianne A. B. van der Sande, Aliu Akano and Christopher P. Wild. Their work appears in journals such as PLoS ONE, Environmental Health Perspectives, Carcinogenesis, International Journal of Cancer and Cancer Epidemiology Biomarkers & Prevention.

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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