Dipti Athavale
Impact in
- Hepatology top 10%
- Liver physiology and pathology
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
Papers in
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- Wnt/β-catenin signaling in development and cancer 3
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- Cancer, Lipids, and Metabolism 4
- Co-authors
- Natalia Nieto (16 shared papers)Zhuolun Song (16 shared papers)Romain Désert (16 shared papers)Xiaodong Ge (16 shared papers)Hui Han (15 shared papers)Sukanta Das (15 shared papers)Wei Chen (14 shared papers)Manoj Kumar Bhat (6 shared papers)
- Journals
- Hepatology Communications (5 papers)Hepatology (4 papers)Journal of Hepatology (2 papers)Cellular and Molecular Gastroenterology and Hepatology (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Dipti Athavale
24 papers receiving 724 citations
Dipti Athavale's Hit Papers
Peers
Comparison fields: 5 of 86
- Hepatology 97
- Cancer Research 124
- Epidemiology 139
- Immunology 76
- Oncology 86
Countries citing papers authored by Dipti Athavale
This map shows the geographic impact of Dipti Athavale'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 Dipti Athavale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipti Athavale more than expected).
Fields of papers citing papers by Dipti Athavale
This network shows the impact of papers produced by Dipti Athavale. 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 Dipti Athavale. The network helps show where Dipti Athavale may publish in the future.
Co-authors
The 25 scholars most cited alongside Dipti Athavale, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 141 | |
| 2 | 2015 | 94 | |
| 3 | 2020 | 87 | |
| 4 | Macrophage-derived Osteopontin (SPP1) Protects From Nonalcoholic Steatohepatitis Hit paper breakdown → | 2023 | 80 |
| 5 | 2016 | 43 | |
| 6 | 2018 | 39 | |
| 7 | 2023 | 28 | |
| 8 | 2020 | 26 | |
| 9 | 2022 | 23 | |
| 10 | 2024 | 22 | |
| 11 | 2023 | 20 | |
| 12 | 2019 | 19 | |
| 13 | 2023 | 17 | |
| 14 | 2021 | 14 | |
| 15 | 2023 | 14 | |
| 16 | 2021 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 7 |
About Dipti Athavale
Dipti Athavale is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Rheumatology, having authored 25 papers that have together received 724 indexed citations. Recurring topics across this work include Bone and Dental Protein Studies (4 papers), Cancer, Lipids, and Metabolism (4 papers), Advanced Glycation End Products research (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Digestive system and related health (2 papers). The work is most often cited by research in Hepatology (97 citations), Cancer Research (124 citations), Epidemiology (139 citations), Immunology (76 citations) and Oncology (86 citations). Dipti Athavale has collaborated with scholars based in United States, India and China. Frequent co-authors include Natalia Nieto, Zhuolun Song, Romain Désert, Xiaodong Ge, Hui Han, Sukanta Das, Wei Chen, Manoj Kumar Bhat, Snahlata Singh and Surbhi Chouhan. Their work appears in journals such as Hepatology Communications, Hepatology, Journal of Hepatology, Cellular and Molecular Gastroenterology and Hepatology and Scientific Reports.
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.