Sumit Rawal
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Plant Science top 5%
- Mycotoxins in Agriculture and Food
- Wheat and Barley Genetics and Pathology
Papers in
-
- Mycotoxins in Agriculture and Food 8
- Co-authors
- Roger A. Coulombe (7 shared papers)Ji Eun Kim (1 shared paper)William C. Zamboni (5 shared papers)Kent M. Reed (4 shared papers)Mark D. Walsh (2 shared papers)Joseph M. DeSimone (2 shared papers)Parag Kumar (2 shared papers)Kevin S. Chu (1 shared paper)
- Journals
- Alzheimer s & Dementia (4 papers)PLoS ONE (2 papers)Physica A Statistical Mechanics and its Applications (2 papers)Research in Veterinary Science (2 papers)British Journal of Clinical Pharmacology (1 paper)
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
Sumit Rawal
22 papers receiving 864 citations
Peers
Comparison fields: 5 of 103
- Biomaterials 206
- Plant Science 407
- Animal Science and Zoology 97
- Cancer Research 96
- Insect Science 58
Countries citing papers authored by Sumit Rawal
This map shows the geographic impact of Sumit Rawal'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 Sumit Rawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Rawal more than expected).
Fields of papers citing papers by Sumit Rawal
This network shows the impact of papers produced by Sumit Rawal. 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 Sumit Rawal. The network helps show where Sumit Rawal may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Rawal, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 333 | |
| 2 | 2012 | 134 | |
| 3 | 2013 | 79 | |
| 4 | 2011 | 64 | |
| 5 | 2012 | 58 | |
| 6 | 2010 | 39 | |
| 7 | 2012 | 37 | |
| 8 | 2014 | 37 | |
| 9 | 2015 | 32 | |
| 10 | 2009 | 22 | |
| 11 | 2004 | 20 | |
| 12 | 2014 | 13 | |
| 13 | 2014 | 11 | |
| 14 | 2012 | 11 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2004 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2023 | 3 |
About Sumit Rawal
Sumit Rawal is a scholar working on Plant Science, Molecular Biology, Biomaterials, Physiology and Pharmacology, having authored 23 papers that have together received 921 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (8 papers), Nanoparticle-Based Drug Delivery (4 papers), Alzheimer's disease research and treatments (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Microbial infections and disease research (2 papers), Computational Drug Discovery Methods (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Selenium in Biological Systems (2 papers). The work is most often cited by research in Biomaterials (206 citations), Plant Science (407 citations), Animal Science and Zoology (97 citations), Cancer Research (96 citations) and Insect Science (58 citations). Sumit Rawal has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Roger A. Coulombe, Ji Eun Kim, William C. Zamboni, Kent M. Reed, Mark D. Walsh, Joseph M. DeSimone, Parag Kumar, Kevin S. Chu, J. Christopher Luft and Arlene S. Bridges. Their work appears in journals such as Alzheimer s & Dementia, PLoS ONE, Physica A Statistical Mechanics and its Applications, Research in Veterinary Science and British Journal of Clinical Pharmacology.
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.