Yash Mathur
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
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- Computational Drug Discovery Methods
Papers in
-
- Head and Neck Cancer Studies 4
- Co-authors
- Taj Mohammad (5 shared papers)Md. Imtaiyaz Hassan (4 shared papers)R R Ghose (1 shared paper)Dharmendra Kumar Yadav (2 shared papers)Alaa Shafie (3 shared papers)Farah Anjum (3 shared papers)Deepa Nair (5 shared papers)Purva Asrani (1 shared paper)
- Journals
- European Archives of Oto-Rhino-Laryngology (2 papers)Briefings in Bioinformatics (1 paper)Biotechnology Advances (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)Journal of Biomolecular Structure and Dynamics (1 paper)
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
Yash Mathur
19 papers receiving 393 citations
Peers
Comparison fields: 5 of 87
- Otorhinolaryngology 34
- Computational Theory and Mathematics 86
- Toxicology 12
- Infectious Diseases 49
- Pharmacology 37
Countries citing papers authored by Yash Mathur
This map shows the geographic impact of Yash Mathur'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 Yash Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yash Mathur more than expected).
Fields of papers citing papers by Yash Mathur
This network shows the impact of papers produced by Yash Mathur. 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 Yash Mathur. The network helps show where Yash Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Yash Mathur, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 234 | |
| 2 | 2021 | 40 | |
| 3 | 1978 | 32 | |
| 4 | 2018 | 25 | |
| 5 | 2020 | 15 | |
| 6 | 2023 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2019 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2016 | 0 |
About Yash Mathur
Yash Mathur is a scholar working on Otorhinolaryngology, Molecular Biology, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Infectious Diseases, having authored 21 papers that have together received 403 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (4 papers), Computational Drug Discovery Methods (3 papers), Cancer, Lipids, and Metabolism (2 papers), Pleural and Pulmonary Diseases (2 papers), Recycling and Waste Management Techniques (1 paper), Click Chemistry and Applications (1 paper), Ferroptosis and cancer prognosis (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Otorhinolaryngology (34 citations), Computational Theory and Mathematics (86 citations), Toxicology (12 citations), Infectious Diseases (49 citations) and Pharmacology (37 citations). Yash Mathur has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Taj Mohammad, Md. Imtaiyaz Hassan, R R Ghose, Dharmendra Kumar Yadav, Alaa Shafie, Farah Anjum, Deepa Nair, Purva Asrani, Pankaj Chaturvedi and Devendra Chaukar. Their work appears in journals such as European Archives of Oto-Rhino-Laryngology, Briefings in Bioinformatics, Biotechnology Advances, Frontiers in Cellular and Infection Microbiology and Journal of Biomolecular Structure and Dynamics.
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.