Ajit Dash
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Immunology top 10%
- IL-33, ST2, and ILC Pathways
Papers in
- Hepatology 12
- Liver physiology and pathology 7
- Hepatitis C virus research 3
-
- IL-33, ST2, and ILC Pathways 4
- Co-authors
- Mark B. Pepys (6 shared papers)Brian R. Wamhoff (8 shared papers)E. A. Munn (2 shared papers)A. Feinstein (2 shared papers)M B Pepys (3 shared papers)Ryan E. Feaver (4 shared papers)Aviva Petrie (2 shared papers)Thelma C. Fletcher (1 shared paper)
- Journals
- Expert Opinion on Drug Metabolism & Toxicology (3 papers)Drug Safety (2 papers)Journal of Allergy and Clinical Immunology (2 papers)Novartis Foundation symposium (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ajit Dash
38 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Hepatology 281
- Immunology 355
- Pharmacology 132
- Immunology and Allergy 84
- Physiology 326
Countries citing papers authored by Ajit Dash
This map shows the geographic impact of Ajit Dash'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 Ajit Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Dash more than expected).
Fields of papers citing papers by Ajit Dash
This network shows the impact of papers produced by Ajit Dash. 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 Ajit Dash. The network helps show where Ajit Dash may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajit Dash, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 209 | |
| 2 | 1978 | 192 | |
| 3 | Comparative clinical study of protein SAP (amyloid P component) and C-reactive protein in serum. | 1978 | 172 |
| 4 | 1977 | 165 | |
| 5 | 2009 | 139 | |
| 6 | 2016 | 123 | |
| 7 | 1995 | 107 | |
| 8 | 2013 | 95 | |
| 9 | Isolation of C-reactive protein by affinity chromatography. | 1977 | 75 |
| 10 | 2007 | 71 | |
| 11 | 2017 | 65 | |
| 12 | 2016 | 48 | |
| 13 | 2022 | 46 | |
| 14 | 1976 | 42 | |
| 15 | 2019 | 35 | |
| 16 | Isolation and study of murine C3. | 1977 | 32 |
| 17 | 2015 | 30 | |
| 18 | 2016 | 30 | |
| 19 | 2020 | 27 | |
| 20 | Enumeration of immunoglobulin-bearing lymphocytes in whole peripheral blood. | 1976 | 26 |
About Ajit Dash
Ajit Dash is a scholar working on Hepatology, Immunology, Epidemiology, Surgery and Molecular Biology, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Liver physiology and pathology (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), IL-33, ST2, and ILC Pathways (4 papers), 3D Printing in Biomedical Research (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Hepatology (281 citations), Immunology (355 citations), Pharmacology (132 citations), Immunology and Allergy (84 citations) and Physiology (326 citations). Ajit Dash has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mark B. Pepys, Brian R. Wamhoff, E. A. Munn, A. Feinstein, M B Pepys, Ryan E. Feaver, Aviva Petrie, Thelma C. Fletcher, Neil Richardson and Banumathi K. Cole. Their work appears in journals such as Expert Opinion on Drug Metabolism & Toxicology, Drug Safety, Journal of Allergy and Clinical Immunology, Novartis Foundation symposium 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.