Jayaraman Muthukumaran
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- Computational Drug Discovery Methods 19
- Infectious Diseases top 10%
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents 5
- Pharmacology top 5%
- Synthesis of Organic Compounds 6
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 10
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- Synthesis and biological activity 13
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- Protein Interaction Studies and Fluorescence Analysis 9
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- Drug Transport and Resistance Mechanisms 9
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- Crystal structures of chemical compounds 8
- Co-authors
- Monika JainAmit Kumar SinghGizachew Muluneh AmeraRameez Jabeer KhanRajat Kumar JhaEkampreet SinghAmita PathakRashmi Prabha Singh
- Journals
- SHILAP Revista de lepidopterología (3 papers)Biochemical and Biophysical Research Communications (1 paper)International Journal of Molecular Sciences (2 papers)
- Partner nations
- IndiaPortugalSaudi Arabia
In The Last Decade
Jayaraman Muthukumaran
80 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 323
- Infectious Diseases 234
- Toxicology 40
- Pharmacology 98
- Molecular Medicine 49
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
The 25 scholars most cited alongside Jayaraman Muthukumaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 26 | |
| 14 | 2016 | 18 | |
| 15 | 2013 | 10 | |
| 16 | Synthesis, characterization and biological studies of Cu(II), Co(II), Ni(II) and Zn(II) complexes of tetradentate Schiff base ligand | 2013 | 5 |
| 17 | 2011 | 14 | |
| 18 | 2011 | 3 | |
| 19 | 2010 | 2 | |
| 20 | 2009 | 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), Antibiotic Resistance in Bacteria (10 papers), Protein Interaction Studies and Fluorescence Analysis (9 papers), Drug Transport and Resistance Mechanisms (9 papers), Crystal structures of chemical compounds (8 papers), Synthesis of Organic Compounds (6 papers) and Bioactive Compounds and Antitumor Agents (5 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.