Amit Kumar Singh
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Infectious Diseases top 10%
- Organic Chemistry
- Molecular Medicine top 10%
- Co-authors
- Jayaraman MuthukumaranMonika JainGizachew Muluneh AmeraRameez Jabeer KhanRajat Kumar JhaEkampreet SinghAmita PathakRashmi Prabha Singh
- Topics
- Computational Drug Discovery Methods (14 papers)Antibiotic Resistance in Bacteria (11 papers)Protein Structure and Dynamics (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsBiochemical and Biophysical Research Communications
- Partner nations
- IndiaSaudi ArabiaUnited Arab Emirates
In The Last Decade
Amit Kumar Singh
35 papers receiving 585 citations
Peers
Comparison fields: 5 of 91
- Computational Theory and Mathematics 273
- Molecular Biology 233
- Infectious Diseases 212
- Organic Chemistry 91
- Molecular Medicine 47
Countries citing papers authored by Amit Kumar Singh
This map shows the geographic impact of Amit 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 Amit 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 Amit Kumar Singh more than expected).
Fields of papers citing papers by Amit Kumar Singh
This network shows the impact of papers produced by Amit 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 Amit Kumar Singh. The network helps show where Amit Kumar Singh may publish in the future.
Co-authorship network of co-authors of Amit Kumar Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Singh. A scholar is included among the top collaborators of Amit 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 Amit Kumar Singh. Amit 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 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 32 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 26 | |
| 17 | 40 | |
| 18 | 19 | |
| 19 | 10 | |
| 20 | 14 |
About Amit Kumar Singh
Amit Kumar Singh is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Nutrition and Dietetics, having authored 39 papers that have together received 595 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Antibiotic Resistance in Bacteria (11 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Computational Theory and Mathematics (273 citations), Infectious Diseases (212 citations) and Molecular Medicine (47 citations). Amit Kumar Singh has collaborated with scholars based in India, Saudi Arabia and United Arab Emirates. Frequent co-authors include Jayaraman Muthukumaran, Monika Jain, Gizachew Muluneh Amera, Rameez Jabeer Khan, Rajat Kumar Jha, Ekampreet Singh, Amita Pathak, Rashmi Prabha Singh, Abhishek Sharma and Ankit Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.
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.