Sneha B. Bansode
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Clinical Biochemistry top 5%
- Infectious Diseases
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Mahesh J. KulkarniRakesh S. JoshiAshok P. GiriVaibhav Kumar PandyaShounak JagdaleS. Shiva ShankarMeenakshi B. TellisRajesh N. Gacche
- Topics
- Advanced Glycation End Products research (10 papers)Natural Antidiabetic Agents Studies (6 papers)Computational Drug Discovery Methods (4 papers)
- Partner nations
- IndiaUnited KingdomAustria
In The Last Decade
Sneha B. Bansode
17 papers receiving 618 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 178
- Molecular Biology 170
- Clinical Biochemistry 117
- Infectious Diseases 106
- Endocrinology, Diabetes and Metabolism 78
Countries citing papers authored by Sneha B. Bansode
This map shows the geographic impact of Sneha B. Bansode'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 Sneha B. Bansode with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sneha B. Bansode more than expected).
Fields of papers citing papers by Sneha B. Bansode
This network shows the impact of papers produced by Sneha B. Bansode. 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 Sneha B. Bansode. The network helps show where Sneha B. Bansode may publish in the future.
Co-authorship network of co-authors of Sneha B. Bansode
This figure shows the co-authorship network connecting the top 25 collaborators of Sneha B. Bansode. A scholar is included among the top collaborators of Sneha B. Bansode based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sneha B. Bansode. Sneha B. Bansode is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 31 | |
| 6 | 72 | |
| 7 | Discovery of potential multi-target-directed ligands by targeting host-specific SARS-CoV-2 structurally conserved main proteasebreakdown → | 280 |
| 8 | 34 | |
| 9 | 31 | |
| 10 | 3 | |
| 11 | 34 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 44 | |
| 15 | 25 | |
| 16 | 17 | |
| 17 | 28 | |
| 18 | 14 |
About Sneha B. Bansode
Sneha B. Bansode is a scholar working on Clinical Biochemistry, Aging and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 630 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (10 papers), Natural Antidiabetic Agents Studies (6 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Aging (33 citations), Clinical Biochemistry (117 citations) and Computational Theory and Mathematics (178 citations). Sneha B. Bansode has collaborated with scholars based in India, United Kingdom and Austria. Frequent co-authors include Mahesh J. Kulkarni, Rakesh S. Joshi, Ashok P. Giri, Vaibhav Kumar Pandya, Shounak Jagdale, S. Shiva Shankar, Meenakshi B. Tellis, Rajesh N. Gacche, Abhay Harsulkar and Melinda J. Duer. Their work appears in journals such as PLoS ONE, Scientific Reports and RSC Advances.
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.