Jayaraman Muthukumaran
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Organic Chemistry top 10%
- Infectious Diseases top 10%
- Oncology
- Co-authors
- Monika JainAmit Kumar SinghGizachew Muluneh AmeraRameez Jabeer KhanRajat Kumar JhaEkampreet SinghAmita PathakRashmi Prabha Singh
- Topics
- Computational Drug Discovery Methods (19 papers)Synthesis and biological activity (13 papers)Antibiotic Resistance in Bacteria (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiochemical and Biophysical Research CommunicationsInternational Journal of Molecular Sciences
- Partner nations
- IndiaPortugalSaudi Arabia
In The Last Decade
Jayaraman Muthukumaran
80 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 484
- Computational Theory and Mathematics 323
- Organic Chemistry 273
- Infectious Diseases 234
- Oncology 129
Countries citing papers authored by Jayaraman Muthukumaran
This map shows the geographic impact of Jayaraman Muthukumaran'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 Jayaraman Muthukumaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayaraman Muthukumaran more than expected).
Fields of papers citing papers by Jayaraman Muthukumaran
This network shows the impact of papers produced by Jayaraman Muthukumaran. 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 Jayaraman Muthukumaran. The network helps show where Jayaraman Muthukumaran may publish in the future.
Co-authorship network of co-authors of Jayaraman Muthukumaran
This figure shows the co-authorship network connecting the top 25 collaborators of Jayaraman Muthukumaran. A scholar is included among the top collaborators of Jayaraman Muthukumaran 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 Jayaraman Muthukumaran. Jayaraman Muthukumaran 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 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 26 | |
| 14 | 18 | |
| 15 | 10 | |
| 16 | Synthesis, characterization and biological studies of Cu(II), Co(II), Ni(II) and Zn(II) complexes of tetradentate Schiff base ligand | 5 |
| 17 | 14 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 10 |
About Jayaraman Muthukumaran
Jayaraman Muthukumaran is a scholar working on Toxicology, Molecular Medicine and Computational Theory and Mathematics, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Synthesis and biological activity (13 papers) and Antibiotic Resistance in Bacteria (10 papers). The work is most often cited by research in Computational Theory and Mathematics (323 citations), Infectious Diseases (234 citations) and Toxicology (40 citations). Jayaraman Muthukumaran has collaborated with scholars based in India, Portugal and Saudi Arabia. Frequent co-authors include Monika Jain, Amit Kumar Singh, Gizachew Muluneh Amera, Rameez Jabeer Khan, Rajat Kumar Jha, Ekampreet Singh, Amita Pathak, Rashmi Prabha Singh, Mohd Sajid Ali and Hamad A. Al‐Lohedan. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.
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.