Sanjeev Kumar Sahu
- Molecular Biology
- Organic Chemistry top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Plant Science
- Computational Theory and Mathematics top 10%
- Co-authors
- Pankaj WadhwaVanktesh KumarSurendra Kumar NayakParanjeet KaurAmit MittalDevesh TewariAjit SharmaBalwinder Kaur
- Topics
- Synthesis and biological activity (9 papers)Computational Drug Discovery Methods (8 papers)Natural Antidiabetic Agents Studies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaAntioxidants and Redox SignalingEuropean Journal of Pharmacology
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Sanjeev Kumar Sahu
50 papers receiving 633 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 197
- Organic Chemistry 158
- Endocrinology, Diabetes and Metabolism 101
- Plant Science 89
- Computational Theory and Mathematics 64
Countries citing papers authored by Sanjeev Kumar Sahu
This map shows the geographic impact of Sanjeev Kumar Sahu'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 Sanjeev Kumar Sahu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Kumar Sahu more than expected).
Fields of papers citing papers by Sanjeev Kumar Sahu
This network shows the impact of papers produced by Sanjeev Kumar Sahu. 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 Sanjeev Kumar Sahu. The network helps show where Sanjeev Kumar Sahu may publish in the future.
Co-authorship network of co-authors of Sanjeev Kumar Sahu
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Kumar Sahu. A scholar is included among the top collaborators of Sanjeev Kumar Sahu 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 Sanjeev Kumar Sahu. Sanjeev Kumar Sahu 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 12 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 14 | |
| 18 | 13 | |
| 19 | 26 | |
| 20 | Ethnobotanical study of medicinal plants in the coastal districts of Odisha | 3 |
About Sanjeev Kumar Sahu
Sanjeev Kumar Sahu is a scholar working on Complementary and alternative medicine, Endocrinology, Diabetes and Metabolism and Computational Theory and Mathematics, having authored 59 papers that have together received 646 indexed citations. Recurring topics across this work include Synthesis and biological activity (9 papers), Computational Drug Discovery Methods (8 papers) and Natural Antidiabetic Agents Studies (6 papers). The work is most often cited by research in Biochemistry (45 citations), Complementary and alternative medicine (55 citations) and Endocrinology, Diabetes and Metabolism (101 citations). Sanjeev Kumar Sahu has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Pankaj Wadhwa, Vanktesh Kumar, Surendra Kumar Nayak, Paranjeet Kaur, Amit Mittal, Devesh Tewari, Ajit Sharma, Balwinder Kaur, Anupam Bishayee and A Anuradha. Their work appears in journals such as SHILAP Revista de lepidopterología, Antioxidants and Redox Signaling and European Journal of 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.