Dipayan Roy
Impact in
- Neurology top 5%
- Long-Term Effects of COVID-19
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Neurology 19
- Long-Term Effects of COVID-19 8
- Peripheral Neuropathies and Disorders 4
- Co-authors
- Melvin Schindler (1 shared paper)Sanford M. Simon (1 shared paper)Purvi Purohit (22 shared papers)Ritwik Ghosh (37 shared papers)Julián Benito‐León (36 shared papers)Praveen Sharma (16 shared papers)Anupama Modi (18 shared papers)Manoj Khokhar (11 shared papers)
- Journals
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (4 papers)Metabolism (3 papers)Current Diabetes Reviews (2 papers)Cancer Investigation (2 papers)Archives of Physiology and Biochemistry (2 papers)
- Partner nations
- IndiaSpainUnited States
In The Last Decade
Dipayan Roy
64 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 133
- Neurology 210
- Cancer Research 97
- Infectious Diseases 111
- Oncology 129
- Bioengineering 28
Countries citing papers authored by Dipayan Roy
This map shows the geographic impact of Dipayan Roy'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 Dipayan Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipayan Roy more than expected).
Fields of papers citing papers by Dipayan Roy
This network shows the impact of papers produced by Dipayan Roy. 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 Dipayan Roy. The network helps show where Dipayan Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Dipayan Roy, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 250 | |
| 2 | 2022 | 63 | |
| 3 | 2020 | 42 | |
| 4 | 2021 | 38 | |
| 5 | 2020 | 34 | |
| 6 | 2020 | 32 | |
| 7 | 2021 | 31 | |
| 8 | 2019 | 31 | |
| 9 | 2020 | 30 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2021 | 24 | |
| 14 | 2021 | 24 | |
| 15 | 2022 | 24 | |
| 16 | 2023 | 23 | |
| 17 | 2022 | 22 | |
| 18 | 2021 | 22 | |
| 19 | 2021 | 19 | |
| 20 | 2020 | 19 |
About Dipayan Roy
Dipayan Roy is a scholar working on Neurology, Molecular Biology, Rheumatology, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (8 papers), GDF15 and Related Biomarkers (7 papers), Neurological and metabolic disorders (6 papers), Infectious Encephalopathies and Encephalitis (5 papers), Peripheral Neuropathies and Disorders (4 papers), Nutrition and Health in Aging (3 papers), Adipose Tissue and Metabolism (3 papers) and Neurological Complications and Syndromes (3 papers). The work is most often cited by research in Neurology (210 citations), Cancer Research (97 citations), Infectious Diseases (111 citations), Oncology (129 citations) and Bioengineering (28 citations). Dipayan Roy has collaborated with scholars based in India, Spain and United States. Frequent co-authors include Melvin Schindler, Sanford M. Simon, Purvi Purohit, Ritwik Ghosh, Julián Benito‐León, Praveen Sharma, Anupama Modi, Manoj Khokhar, Souvik Dubey and Sojit Tomo. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Metabolism, Current Diabetes Reviews, Cancer Investigation and Archives of Physiology and Biochemistry.
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.