Anu Osinusi
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Hepatology 64
- Hepatitis C virus research 64
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- COVID-19 Clinical Research Studies 11
- HIV/AIDS drug development and treatment 10
- Co-authors
- Shyam Kottilil (33 shared papers)Henry Masur (26 shared papers)John G. McHutchison (17 shared papers)Diana M. Brainard (25 shared papers)Anita Kohli (14 shared papers)Michael A. Polis (19 shared papers)Amy Nelson (12 shared papers)Anita Mathias (4 shared papers)
- Journals
- Journal of Hepatology (17 papers)Clinical Infectious Diseases (7 papers)Open Forum Infectious Diseases (5 papers)Gastroenterology (5 papers)Journal of Viral Hepatitis (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Anu Osinusi
81 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 77
- Hepatology 1.5k
- Epidemiology 887
- Infectious Diseases 445
- Virology 75
- Rheumatology 87
Countries citing papers authored by Anu Osinusi
This map shows the geographic impact of Anu Osinusi'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 Anu Osinusi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anu Osinusi more than expected).
Fields of papers citing papers by Anu Osinusi
This network shows the impact of papers produced by Anu Osinusi. 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 Anu Osinusi. The network helps show where Anu Osinusi may publish in the future.
Co-authors
The 25 scholars most cited alongside Anu Osinusi, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 184 | |
| 2 | 2014 | 155 | |
| 3 | 2014 | 118 | |
| 4 | 2015 | 117 | |
| 5 | 2018 | 107 | |
| 6 | 2017 | 102 | |
| 7 | 2021 | 96 | |
| 8 | 2015 | 73 | |
| 9 | 2016 | 71 | |
| 10 | 2018 | 63 | |
| 11 | 2017 | 63 | |
| 12 | 2017 | 60 | |
| 13 | 2014 | 58 | |
| 14 | 2012 | 55 | |
| 15 | 2015 | 50 | |
| 16 | 2015 | 38 | |
| 17 | 2022 | 37 | |
| 18 | 2017 | 36 | |
| 19 | 2018 | 35 | |
| 20 | 2015 | 28 |
About Anu Osinusi
Anu Osinusi is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Rheumatology and Immunology, having authored 86 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (64 papers), Systemic Lupus Erythematosus Research (15 papers), Hepatitis B Virus Studies (14 papers), Liver Disease Diagnosis and Treatment (13 papers), COVID-19 Clinical Research Studies (11 papers), HIV/AIDS drug development and treatment (10 papers), Immune Cell Function and Interaction (4 papers) and Long-Term Effects of COVID-19 (4 papers). The work is most often cited by research in Hepatology (1.5k citations), Epidemiology (887 citations), Infectious Diseases (445 citations), Virology (75 citations) and Rheumatology (87 citations). Anu Osinusi has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Shyam Kottilil, Henry Masur, John G. McHutchison, Diana M. Brainard, Anita Kohli, Michael A. Polis, Amy Nelson, Anita Mathias, Zayani Sims and Eric G. Meissner. Their work appears in journals such as Journal of Hepatology, Clinical Infectious Diseases, Open Forum Infectious Diseases, Gastroenterology and Journal of Viral Hepatitis.
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.