Amit Nayyar
- Organic Chemistry top 5%
- Molecular Biology
- Infectious Diseases top 5%
- Epidemiology
- Computational Theory and Mathematics top 5%
- Co-authors
- Rahul JainEvans C. CoutinhoAlpeshkumar K. MaldeVikramdeep MongaPrakash B. PaldeBalasubramanian VaitilingamClifton E. BarryHelena I. Boshoff
- Topics
- Tuberculosis Research and Epidemiology (9 papers)Cancer therapeutics and mechanisms (7 papers)Synthesis and biological activity (5 papers)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Amit Nayyar
19 papers receiving 766 citations
Peers
Comparison fields: 5 of 67
- Organic Chemistry 464
- Molecular Biology 358
- Infectious Diseases 296
- Epidemiology 136
- Computational Theory and Mathematics 110
Countries citing papers authored by Amit Nayyar
This map shows the geographic impact of Amit Nayyar'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 Nayyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Nayyar more than expected).
Fields of papers citing papers by Amit Nayyar
This network shows the impact of papers produced by Amit Nayyar. 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 Nayyar. The network helps show where Amit Nayyar may publish in the future.
Co-authorship network of co-authors of Amit Nayyar
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Nayyar. A scholar is included among the top collaborators of Amit Nayyar 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 Nayyar. Amit Nayyar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 21 | |
| 4 | 0 | |
| 5 | 80 | |
| 6 | Gurumurthy, M. et al. Substrate specificity of the deazaflavin-dependent nitroreductase from Mycobacterium tuberculosis responsible for the bioreductive activation of bicyclic nitroimidazoles. FEBS J. 279, 113-125 | 1 |
| 7 | 71 | |
| 8 | 36 | |
| 9 | Synthesis and anti-tuberculosis activity of 2,4-disubstituted quinolines | 7 |
| 10 | 21 | |
| 11 | 2 | |
| 12 | 125 | |
| 13 | 71 | |
| 14 | 120 | |
| 15 | 72 | |
| 16 | 1 | |
| 17 | 45 | |
| 18 | 35 | |
| 19 | 54 | |
| 20 | 6 |
About Amit Nayyar
Amit Nayyar is a scholar working on Infectious Diseases, Pharmaceutical Science and Organic Chemistry, having authored 20 papers that have together received 790 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Cancer therapeutics and mechanisms (7 papers) and Synthesis and biological activity (5 papers). The work is most often cited by research in Organic Chemistry (464 citations), Infectious Diseases (296 citations) and Toxicology (42 citations). Amit Nayyar has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Rahul Jain, Evans C. Coutinho, Alpeshkumar K. Malde, Vikramdeep Monga, Prakash B. Palde, Balasubramanian Vaitilingam, Clifton E. Barry, Helena I. Boshoff, Ujjini H. Manjunatha and Joseph Cherian. Their work appears in journals such as PLoS ONE, Cancer Research and Scientific Reports.
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.