Perumal Nagarajan
- Molecular Biology
- Epidemiology
- Genetics
- Molecular Medicine top 5%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Subeer S. MajumdarGovindarajan PadmanabanChaitanya DendeAmulya K. PandaJairam MeenaViswanathan Arun NagarajJerald Mahesh KumarPramod Upadhyay
- Topics
- Liver Disease Diagnosis and Treatment (9 papers)Diet, Metabolism, and Disease (6 papers)Adipose Tissue and Metabolism (6 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Perumal Nagarajan
63 papers receiving 836 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 318
- Epidemiology 169
- Genetics 111
- Molecular Medicine 81
- Endocrinology, Diabetes and Metabolism 81
Countries citing papers authored by Perumal Nagarajan
This map shows the geographic impact of Perumal Nagarajan'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 Perumal Nagarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Perumal Nagarajan more than expected).
Fields of papers citing papers by Perumal Nagarajan
This network shows the impact of papers produced by Perumal Nagarajan. 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 Perumal Nagarajan. The network helps show where Perumal Nagarajan may publish in the future.
Co-authorship network of co-authors of Perumal Nagarajan
This figure shows the co-authorship network connecting the top 25 collaborators of Perumal Nagarajan. A scholar is included among the top collaborators of Perumal Nagarajan 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 Perumal Nagarajan. Perumal Nagarajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 12 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 26 | |
| 16 | 13 | |
| 17 | 15 | |
| 18 | 10 | |
| 19 | 20 | |
| 20 | 1 |
About Perumal Nagarajan
Perumal Nagarajan is a scholar working on Horticulture, Hepatology and Geriatrics and Gerontology, having authored 67 papers that have together received 855 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (6 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Molecular Medicine (81 citations), Reproductive Medicine (71 citations) and Hepatology (53 citations). Perumal Nagarajan has collaborated with scholars based in India, United States and France. Frequent co-authors include Subeer S. Majumdar, Govindarajan Padmanaban, Chaitanya Dende, Amulya K. Panda, Jairam Meena, Viswanathan Arun Nagaraj, Jerald Mahesh Kumar, Pramod Upadhyay, S. Rajagopalan and Sundaresan Venkatachalam. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.