Sameer Kawatkar
Impact in
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
-
- Cancer therapeutics and mechanisms 3
- Biochemical and Molecular Research 3
- Glycosylation and Glycoproteins Research 2
- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
-
- Carbohydrate Chemistry and Synthesis 5
- Co-authors
- Geert‐Jan Boons (5 shared papers)Xiangming Zhu (2 shared papers)Jin Park (1 shared paper)Jin-Hwan Kim (1 shared paper)Yu Rao (1 shared paper)Diane Joseph‐McCarthy (2 shared papers)Ryszard Czermiński (1 shared paper)Hongming Wang (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)Journal of Medicinal Chemistry (2 papers)Journal of the American Chemical Society (2 papers)Journal of Computer-Aided Molecular Design (2 papers)Organic Letters (2 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Sameer Kawatkar
19 papers receiving 758 citations
Peers
Comparison fields: 5 of 70
- Organic Chemistry 512
- Biotechnology 74
- Molecular Biology 561
- Computational Theory and Mathematics 82
- Infectious Diseases 44
Countries citing papers authored by Sameer Kawatkar
This map shows the geographic impact of Sameer Kawatkar'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 Sameer Kawatkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Kawatkar more than expected).
Fields of papers citing papers by Sameer Kawatkar
This network shows the impact of papers produced by Sameer Kawatkar. 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 Sameer Kawatkar. The network helps show where Sameer Kawatkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameer Kawatkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 128 | |
| 2 | 2006 | 127 | |
| 3 | 2006 | 107 | |
| 4 | 2009 | 86 | |
| 5 | 2006 | 59 | |
| 6 | 2014 | 55 | |
| 7 | 2004 | 28 | |
| 8 | 2002 | 26 | |
| 9 | 2012 | 25 | |
| 10 | 2011 | 24 | |
| 11 | 2012 | 24 | |
| 12 | 2016 | 16 | |
| 13 | 2007 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2023 | 12 | |
| 16 | 2019 | 9 | |
| 17 | 2012 | 7 | |
| 18 | 2017 | 5 | |
| 19 | 2020 | 3 |
About Sameer Kawatkar
Sameer Kawatkar is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Physiology and Computational Theory and Mathematics, having authored 19 papers that have together received 770 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (5 papers), Cancer therapeutics and mechanisms (3 papers), Biochemical and Molecular Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Computational Drug Discovery Methods (2 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Organic Chemistry (512 citations), Biotechnology (74 citations), Molecular Biology (561 citations), Computational Theory and Mathematics (82 citations) and Infectious Diseases (44 citations). Sameer Kawatkar has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Geert‐Jan Boons, Xiangming Zhu, Jin Park, Jin-Hwan Kim, Yu Rao, Diane Joseph‐McCarthy, Ryszard Czermiński, Hongming Wang, Robert J. Woods and Peter R. Schreiner. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of the American Chemical Society, Journal of Computer-Aided Molecular Design and Organic Letters.
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.