Veeral Ajmera
- Hepatology top 0.5%
- Liver Disease and Transplantation 25
- Liver Diseases and Immunity 17
- Hepatocellular Carcinoma Treatment and Prognosis 12
- Hepatitis C virus research 7
- Epidemiology top 1%
- Liver Disease Diagnosis and Treatment 63
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- Diet, Metabolism, and Disease 15
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- Alcohol Consumption and Health Effects 12
- Physiology top 10%
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- Lipid metabolism and disorders 4
- Co-authors
- Rohit LoombaNorah A. TerraultRicki BettencourtClaude B. SirlinLisa RichardsNobuharu TamakiSuzanne R. SharptonStephen A. Harrison
- Partner nations
- United StatesJapanFrance
In The Last Decade
Veeral Ajmera
64 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Hepatology 1.2k
- Epidemiology 2.5k
- Endocrinology, Diabetes and Metabolism 893
- Pathology and Forensic Medicine 395
- Physiology 350
Countries citing papers authored by Veeral Ajmera
This map shows the geographic impact of Veeral Ajmera'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 Veeral Ajmera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veeral Ajmera more than expected).
Fields of papers citing papers by Veeral Ajmera
This network shows the impact of papers produced by Veeral Ajmera. 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 Veeral Ajmera. The network helps show where Veeral Ajmera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Veeral Ajmera, 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 | 2025 | 3 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 89 | |
| 11 | 2021 | 55 | |
| 12 | 2021 | 31 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 39 | |
| 15 | 2018 | 5 | |
| 16 | 2018 | 101 | |
| 17 | 2018 | 124 | |
| 18 | Optimal threshold of controlled attenuation parameter with MRI‐PDFF as the gold standard for the detection of hepatic steatosisbreakdown → | 2017 | 273 |
| 19 | 2016 | 90 | |
| 20 | 2011 | 25 |
About Veeral Ajmera
Veeral Ajmera is a scholar working on Hepatology, Epidemiology and Transplantation, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (63 papers), Liver Disease and Transplantation (25 papers), Liver Diseases and Immunity (17 papers), Diet, Metabolism, and Disease (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Alcohol Consumption and Health Effects (12 papers), Hepatitis C virus research (7 papers) and Lipid metabolism and disorders (4 papers). The work is most often cited by research in Hepatology (1.2k citations), Epidemiology (2.5k citations) and Endocrinology, Diabetes and Metabolism (893 citations). Veeral Ajmera has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Rohit Loomba, Norah A. Terrault, Ricki Bettencourt, Claude B. Sirlin, Lisa Richards, Nobuharu Tamaki, Suzanne R. Sharpton, Stephen A. Harrison, Cyrielle Caussy and Jonathan Hooker. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology and Hepatology.
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.