Fanta Barrow
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Liver Diseases and Immunity
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
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- Liver Disease Diagnosis and Treatment 5
- Autophagy in Disease and Therapy 1
-
- Sphingolipid Metabolism and Signaling 3
- Co-authors
- Xavier S. Revelo (12 shared papers)Haiguang Wang (7 shared papers)Saad Khan (3 shared papers)Gavin Fredrickson (7 shared papers)Preethy Parthiban (5 shared papers)Katrina Dietsche (3 shared papers)Oyedele Adeyi (3 shared papers)Sacha Robert (2 shared papers)
- Journals
- Hepatology (3 papers)Hepatology Communications (2 papers)Journal of Lipid Research (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Molecular Metabolism (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Fanta Barrow
11 papers receiving 388 citations
Fanta Barrow's Hit Papers
Peers
Comparison fields: 5 of 51
- Hepatology 76
- Epidemiology 210
- Immunology 73
- Cell Biology 52
- Endocrinology, Diabetes and Metabolism 39
Countries citing papers authored by Fanta Barrow
This map shows the geographic impact of Fanta Barrow'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 Fanta Barrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanta Barrow more than expected).
Fields of papers citing papers by Fanta Barrow
This network shows the impact of papers produced by Fanta Barrow. 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 Fanta Barrow. The network helps show where Fanta Barrow may publish in the future.
Co-authors
The 25 scholars most cited alongside Fanta Barrow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Microbiota‐Driven Activation of Intrahepatic B Cells Aggravates NASH Through Innate and Adaptive Signaling Hit paper breakdown → | 2021 | 154 |
| 2 | 2021 | 92 | |
| 3 | 2021 | 56 | |
| 4 | 2024 | 33 | |
| 5 | 2024 | 20 | |
| 6 | 2023 | 10 | |
| 7 | 2025 | 8 | |
| 8 | 2021 | 8 | |
| 9 | 2025 | 5 | |
| 10 | 2025 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2023 | 0 |
About Fanta Barrow
Fanta Barrow is a scholar working on Epidemiology, Molecular Biology, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 391 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Sphingolipid Metabolism and Signaling (3 papers), Diabetes and associated disorders (2 papers), Lipid metabolism and biosynthesis (1 paper), Liver Diseases and Immunity (1 paper), Autophagy in Disease and Therapy (1 paper), Phagocytosis and Immune Regulation (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Hepatology (76 citations), Epidemiology (210 citations), Immunology (73 citations), Cell Biology (52 citations) and Endocrinology, Diabetes and Metabolism (39 citations). Fanta Barrow has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Xavier S. Revelo, Haiguang Wang, Saad Khan, Gavin Fredrickson, Preethy Parthiban, Katrina Dietsche, Oyedele Adeyi, Sacha Robert, Adam Herman and Christopher Staley. Their work appears in journals such as Hepatology, Hepatology Communications, Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology and Molecular Metabolism.
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.