Gireesh Kumar Singh
- Molecular Biology
- Complementary and alternative medicine top 2%
- Pharmacology top 5%
- Plant Science
- Food Science top 10%
- Co-authors
- Kanika PatelDinesh Kumar PatelSairam KrishnamurthyA. V. MuruganandamVikas KumarV. K. JoshiDebapriya GarabaduGyan Modi
- Topics
- Computational Drug Discovery Methods (8 papers)Cholinesterase and Neurodegenerative Diseases (8 papers)Medicinal Plants and Neuroprotection (5 papers)
- Journals
- New England Journal of MedicineJournal of EthnopharmacologyBritish Journal of Sports Medicine
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Gireesh Kumar Singh
31 papers receiving 822 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 245
- Complementary and alternative medicine 226
- Pharmacology 179
- Plant Science 140
- Food Science 102
Countries citing papers authored by Gireesh Kumar Singh
This map shows the geographic impact of Gireesh Kumar Singh'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 Gireesh Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gireesh Kumar Singh more than expected).
Fields of papers citing papers by Gireesh Kumar Singh
This network shows the impact of papers produced by Gireesh Kumar Singh. 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 Gireesh Kumar Singh. The network helps show where Gireesh Kumar Singh may publish in the future.
Co-authorship network of co-authors of Gireesh Kumar Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Gireesh Kumar Singh. A scholar is included among the top collaborators of Gireesh Kumar Singh 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 Gireesh Kumar Singh. Gireesh Kumar Singh 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 | 16 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 74 | |
| 9 | 19 | |
| 10 | 29 | |
| 11 | 40 | |
| 12 | 193 | |
| 13 | 18 | |
| 14 | Assessment of genetic diversity in indigenous and exotic collections of black soybean (Glycine max (L.) Merrill.). | 3 |
| 15 | 10 | |
| 16 | 25 | |
| 17 | 93 | |
| 18 | 66 | |
| 19 | 94 | |
| 20 | Analgesic and anti-inflammatory effects of tranylcypromine and imipramine | 1 |
About Gireesh Kumar Singh
Gireesh Kumar Singh is a scholar working on Complementary and alternative medicine, Pharmacology and Computational Theory and Mathematics, having authored 34 papers that have together received 887 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Medicinal Plants and Neuroprotection (5 papers). The work is most often cited by research in Complementary and alternative medicine (226 citations), Biochemistry (84 citations) and Biological Psychiatry (28 citations). Gireesh Kumar Singh has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Kanika Patel, Dinesh Kumar Patel, Sairam Krishnamurthy, A. V. Muruganandam, Vikas Kumar, V. K. Joshi, Debapriya Garabadu, Gyan Modi, Gourav Singh and Geeta Rai. Their work appears in journals such as New England Journal of Medicine, Journal of Ethnopharmacology and British Journal of Sports Medicine.
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.