Sumit Bansal
Impact in
- Toxicology top 5%
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
Papers in
- Co-authors
- Sandeep Lohan (6 shared papers)Mary F. Paine (5 shared papers)Jashvant D. Unadkat (5 shared papers)Varun Bhardwaj (4 shared papers)Varun Jaiswal (3 shared papers)Ashok Kumar Mahapatra (15 shared papers)Sharad Kumar Suthar (4 shared papers)Ashish Suri (10 shared papers)
- Journals
- Drug Metabolism and Disposition (4 papers)European Journal of Medicinal Chemistry (2 papers)Child s Nervous System (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Chemical and Pharmaceutical Bulletin (1 paper)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Sumit Bansal
54 papers receiving 861 citations
Peers
Comparison fields: 5 of 125
- Toxicology 41
- Pharmacology 169
- Biochemistry 48
- Organic Chemistry 186
- Pathology and Forensic Medicine 103
Countries citing papers authored by Sumit Bansal
This map shows the geographic impact of Sumit Bansal'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 Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Bansal more than expected).
Fields of papers citing papers by Sumit Bansal
This network shows the impact of papers produced by Sumit Bansal. 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 Bansal. The network helps show where Sumit Bansal may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Bansal, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 142 | |
| 2 | 2014 | 113 | |
| 3 | 2013 | 76 | |
| 4 | 2020 | 71 | |
| 5 | 2022 | 52 | |
| 6 | 2019 | 35 | |
| 7 | 2013 | 34 | |
| 8 | 2013 | 33 | |
| 9 | 2012 | 29 | |
| 10 | 2024 | 23 | |
| 11 | 2018 | 22 | |
| 12 | 2015 | 20 | |
| 13 | 2012 | 18 | |
| 14 | 2014 | 17 | |
| 15 | 2023 | 15 | |
| 16 | 2017 | 14 | |
| 17 | 2017 | 13 | |
| 18 | 2013 | 13 | |
| 19 | 2014 | 12 | |
| 20 | 2012 | 11 |
About Sumit Bansal
Sumit Bansal is a scholar working on Neurology, Surgery, Epidemiology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 879 indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (8 papers), Pharmacogenetics and Drug Metabolism (6 papers), Cerebrospinal fluid and hydrocephalus (6 papers), Spinal Dysraphism and Malformations (6 papers), Meningioma and schwannoma management (6 papers), Glioma Diagnosis and Treatment (6 papers), Cannabis and Cannabinoid Research (5 papers) and Bone Tumor Diagnosis and Treatments (5 papers). The work is most often cited by research in Toxicology (41 citations), Pharmacology (169 citations), Biochemistry (48 citations), Organic Chemistry (186 citations) and Pathology and Forensic Medicine (103 citations). Sumit Bansal has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Sandeep Lohan, Mary F. Paine, Jashvant D. Unadkat, Varun Bhardwaj, Varun Jaiswal, Ashok Kumar Mahapatra, Sharad Kumar Suthar, Ashish Suri, Manu Sharma and Amit K. Tiwari. Their work appears in journals such as Drug Metabolism and Disposition, European Journal of Medicinal Chemistry, Child s Nervous System, Journal of Pharmacology and Experimental Therapeutics and Chemical and Pharmaceutical Bulletin.
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.