Rashmi Pathak
Impact in
- Rheumatology top 10%
- Folate and B Vitamins Research
Papers in
-
- Face and Expression Recognition 3
-
- Carbohydrate Chemistry and Synthesis 6
- Co-authors
- Thomas W. Gettys (5 shared papers)Subramanyam N. Murthy (3 shared papers)Avinash Kumar (4 shared papers)Henry A. Palfrey (5 shared papers)Philip J. Kadowitz (1 shared paper)Vinit Kumar Gunjan (8 shared papers)Arun Kumar Shaw (4 shared papers)Madapuri Rudra Kumar (2 shared papers)
- Journals
- Nutrition & Metabolism (3 papers)Helvetica Chimica Acta (2 papers)Inflammation Research (2 papers)Tetrahedron (2 papers)Saudi Pharmaceutical Journal (2 papers)
- Partner nations
- IndiaUnited StatesLebanon
In The Last Decade
Rashmi Pathak
55 papers receiving 778 citations
Peers
Comparison fields: 5 of 135
- Rheumatology 151
- Biochemistry 34
- Organic Chemistry 125
- Molecular Biology 226
- Obstetrics and Gynecology 22
Countries citing papers authored by Rashmi Pathak
This map shows the geographic impact of Rashmi Pathak'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 Rashmi Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashmi Pathak more than expected).
Fields of papers citing papers by Rashmi Pathak
This network shows the impact of papers produced by Rashmi Pathak. 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 Rashmi Pathak. The network helps show where Rashmi Pathak may publish in the future.
Co-authors
The 25 scholars most cited alongside Rashmi Pathak, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 275 | |
| 2 | 2019 | 55 | |
| 3 | 2018 | 49 | |
| 4 | 2022 | 33 | |
| 5 | 2002 | 26 | |
| 6 | 2004 | 25 | |
| 7 | 2008 | 23 | |
| 8 | 2020 | 21 | |
| 9 | 2002 | 21 | |
| 10 | 2007 | 20 | |
| 11 | 2022 | 20 | |
| 12 | 2005 | 19 | |
| 13 | 2022 | 17 | |
| 14 | 2018 | 17 | |
| 15 | 2024 | 15 | |
| 16 | 2012 | 15 | |
| 17 | 2023 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2004 | 9 |
About Rashmi Pathak
Rashmi Pathak is a scholar working on Computer Vision and Pattern Recognition, Organic Chemistry, Molecular Biology, Management Science and Operations Research and Endocrinology, Diabetes and Metabolism, having authored 59 papers that have together received 825 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (6 papers), Multi-Criteria Decision Making (3 papers), Face and Expression Recognition (3 papers), RNA and protein synthesis mechanisms (3 papers), Blockchain Technology Applications and Security (3 papers), Biometric Identification and Security (3 papers), Diabetes Treatment and Management (3 papers) and Curcumin's Biomedical Applications (2 papers). The work is most often cited by research in Rheumatology (151 citations), Biochemistry (34 citations), Organic Chemistry (125 citations), Molecular Biology (226 citations) and Obstetrics and Gynecology (22 citations). Rashmi Pathak has collaborated with scholars based in India, United States and Lebanon. Frequent co-authors include Thomas W. Gettys, Subramanyam N. Murthy, Avinash Kumar, Henry A. Palfrey, Philip J. Kadowitz, Vinit Kumar Gunjan, Arun Kumar Shaw, Madapuri Rudra Kumar, Andrea T. Vasella and Erik C. Böttger. Their work appears in journals such as Nutrition & Metabolism, Helvetica Chimica Acta, Inflammation Research, Tetrahedron and Saudi Pharmaceutical Journal.
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.