N. Srinivasan
- Endocrinology, Diabetes and Metabolism top 10%
- Economics and Econometrics top 10%
- Molecular Biology
- Health, Toxicology and Mutagenesis
- Accounting top 10%
- Co-authors
- P. GovindarajuluRajkumar LakshmanaswamyK. BalasubramanianR. Graham CooksRajesh RajalingamJ. ArunakaranRudolph C. JohnsonPhilip Wong
- Topics
- Microbial Metabolic Engineering and Bioproduction (2 papers)Fungal and yeast genetics research (2 papers)Radioactive element chemistry and processing (1 paper)
- Journals
- Analytica Chimica ActaJournal of Cellular BiochemistryApplied Biochemistry and Biotechnology
- Partner nations
- IndiaUnited States
In The Last Decade
N. Srinivasan
12 papers receiving 390 citations
Peers
Comparison fields: 5 of 108
- Endocrinology, Diabetes and Metabolism 129
- Economics and Econometrics 100
- Molecular Biology 59
- Health, Toxicology and Mutagenesis 53
- Accounting 50
Countries citing papers authored by N. Srinivasan
This map shows the geographic impact of N. Srinivasan'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 N. Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Srinivasan more than expected).
Fields of papers citing papers by N. Srinivasan
This network shows the impact of papers produced by N. Srinivasan. 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 N. Srinivasan. The network helps show where N. Srinivasan may publish in the future.
Co-authorship network of co-authors of N. Srinivasan
This figure shows the co-authorship network connecting the top 25 collaborators of N. Srinivasan. A scholar is included among the top collaborators of N. Srinivasan 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 N. Srinivasan. N. Srinivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 112 | |
| 4 | 20 | |
| 5 | Impact of polychlorinated biphenyl (Aroclor 1254) and vitamin C on antioxidant system of rat ventral prostate. | 32 |
| 6 | Effect of polychlorinated biphenyl, Aroclor 1254 on rat epididymis. | 41 |
| 7 | 56 | |
| 8 | 7 | |
| 9 | 28 | |
| 10 | Effects of alloxan induced diabetes on lipid profiles in renal cortex and medulla of mature albino rats. | 38 |
| 11 | Increased degradation of dermal collagen in diabetic rats. | 115 |
| 12 | 1 |
About N. Srinivasan
N. Srinivasan is a scholar working on Complementary and alternative medicine, Neurology and Spectroscopy, having authored 12 papers that have together received 457 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (2 papers), Fungal and yeast genetics research (2 papers) and Radioactive element chemistry and processing (1 paper). The work is most often cited by research in Business and International Management (16 citations), Endocrinology, Diabetes and Metabolism (129 citations) and Biochemistry (39 citations). N. Srinivasan has collaborated with scholars based in India and United States. Frequent co-authors include P. Govindarajulu, Rajkumar Lakshmanaswamy, K. Balasubramanian, R. Graham Cooks, Rajesh Rajalingam, J. Arunakaran, Rudolph C. Johnson, Philip Wong, Kanagaraj Palaniyandi and Anbalagan Jaganathan. Their work appears in journals such as Analytica Chimica Acta, Journal of Cellular Biochemistry and Applied Biochemistry and Biotechnology.
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.