Avash Das
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cardiovascular Disease and Adiposity
Papers in
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- Extracellular vesicles in disease 4
- Protein Degradation and Inhibitors 2
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- Lipid metabolism and disorders 2
- Cardiovascular Effects of Exercise 2
- Co-authors
- Fei Luo (5 shared papers)Zhenfei Fang (5 shared papers)Federico Oldoni (3 shared papers)Panyun Wu (3 shared papers)Saumya Das (8 shared papers)Jingfei Chen (2 shared papers)Arjun Gupta (7 shared papers)Xiangping Li (1 shared paper)
- Journals
- Progress in Cardiovascular Diseases (2 papers)European Journal of Internal Medicine (2 papers)Hematological Oncology (1 paper)Circulation (1 paper)Journal of Clinical Pathology (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Avash Das
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 177
- Cardiology and Cardiovascular Medicine 203
- Hepatology 49
- Epidemiology 204
- Endocrinology, Diabetes and Metabolism 96
Countries citing papers authored by Avash Das
This map shows the geographic impact of Avash Das'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 Avash Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avash Das more than expected).
Fields of papers citing papers by Avash Das
This network shows the impact of papers produced by Avash Das. 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 Avash Das. The network helps show where Avash Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Avash Das, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 166 | |
| 2 | 2017 | 147 | |
| 3 | 2019 | 131 | |
| 4 | 2020 | 96 | |
| 5 | 2021 | 92 | |
| 6 | 2020 | 72 | |
| 7 | 2018 | 56 | |
| 8 | 2018 | 48 | |
| 9 | 2023 | 40 | |
| 10 | 2018 | 36 | |
| 11 | 2023 | 35 | |
| 12 | 2020 | 32 | |
| 13 | 2020 | 31 | |
| 14 | 2019 | 28 | |
| 15 | 2019 | 24 | |
| 16 | 2017 | 23 | |
| 17 | 2020 | 23 | |
| 18 | 2024 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2024 | 11 |
About Avash Das
Avash Das is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Neutropenia and Cancer Infections (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Multiple Myeloma Research and Treatments (2 papers), Lipid metabolism and disorders (2 papers), Cardiovascular Effects of Exercise (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (177 citations), Cardiology and Cardiovascular Medicine (203 citations), Hepatology (49 citations), Epidemiology (204 citations) and Endocrinology, Diabetes and Metabolism (96 citations). Avash Das has collaborated with scholars based in United States, China and India. Frequent co-authors include Fei Luo, Zhenfei Fang, Federico Oldoni, Panyun Wu, Saumya Das, Jingfei Chen, Arjun Gupta, Xiangping Li, Ravi V. Shah and Muhammad Shaalan Beg. Their work appears in journals such as Progress in Cardiovascular Diseases, European Journal of Internal Medicine, Hematological Oncology, Circulation and Journal of Clinical Pathology.
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.