Mayur Doke
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Periodontics top 10%
- Oral microbiology and periodontitis research
Papers in
-
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
- Genetics 9
- Estrogen and related hormone effects 5
- Co-authors
- Thangavel Samikkannu (11 shared papers)Kalaiselvi Sivalingam (2 shared papers)Hirobumi Morisaki (1 shared paper)Hiromi Fukamachi (1 shared paper)Hirotaka Kuwata (1 shared paper)Jay P. McLaughlin (5 shared papers)Quentin Felty (7 shared papers)Hideo Kataoka (1 shared paper)
- Journals
- Cancer Research (3 papers)Scientific Reports (3 papers)International Journal of Molecular Sciences (2 papers)BioMed Research International (2 papers)European Journal of Surgical Oncology (2 papers)
- Partner nations
- United StatesIndiaEcuador
In The Last Decade
Mayur Doke
33 papers receiving 399 citations
Peers
Comparison fields: 5 of 94
- Biological Psychiatry 33
- Periodontics 33
- Virology 20
- Neurology 33
- Toxicology 12
Countries citing papers authored by Mayur Doke
This map shows the geographic impact of Mayur Doke'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 Mayur Doke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayur Doke more than expected).
Fields of papers citing papers by Mayur Doke
This network shows the impact of papers produced by Mayur Doke. 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 Mayur Doke. The network helps show where Mayur Doke may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayur Doke, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2016 | 66 | |
| 3 | 2015 | 52 | |
| 4 | 2020 | 28 | |
| 5 | 2021 | 23 | |
| 6 | 2023 | 22 | |
| 7 | 2017 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2018 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2025 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2024 | 2 |
About Mayur Doke
Mayur Doke is a scholar working on Molecular Biology, Genetics, Virology, Cancer Research and Oncology, having authored 36 papers that have together received 414 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), HIV Research and Treatment (5 papers), Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers), Cancer Cells and Metastasis (2 papers), Adipose Tissue and Metabolism (2 papers), Sex and Gender in Healthcare (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Biological Psychiatry (33 citations), Periodontics (33 citations), Virology (20 citations), Neurology (33 citations) and Toxicology (12 citations). Mayur Doke has collaborated with scholars based in United States, India and Ecuador. Frequent co-authors include Thangavel Samikkannu, Kalaiselvi Sivalingam, Hirobumi Morisaki, Hiromi Fukamachi, Hirotaka Kuwata, Jay P. McLaughlin, Quentin Felty, Hideo Kataoka, Takafumi Arimoto and Gurudutt Pendyala. Their work appears in journals such as Cancer Research, Scientific Reports, International Journal of Molecular Sciences, BioMed Research International and European Journal of Surgical Oncology.
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.