Adithan Chandrasekaran
- Pharmacology top 1%
- Oncology
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Deepak Gopal ShewadeSoya S. SamA MaliniB. N. HarishGautam RoyNathalie GérardR. V. KrishnamoorthyKesavan Ramasamy
- Topics
- Pharmacogenetics and Drug Metabolism (24 papers)Drug Transport and Resistance Mechanisms (13 papers)Blood Pressure and Hypertension Studies (8 papers)
- Partner nations
- IndiaFranceSwitzerland
In The Last Decade
Adithan Chandrasekaran
72 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 126
- Pharmacology 383
- Oncology 221
- Molecular Biology 216
- Cardiology and Cardiovascular Medicine 204
- Endocrinology, Diabetes and Metabolism 182
Countries citing papers authored by Adithan Chandrasekaran
This map shows the geographic impact of Adithan Chandrasekaran'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 Adithan Chandrasekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adithan Chandrasekaran more than expected).
Fields of papers citing papers by Adithan Chandrasekaran
This network shows the impact of papers produced by Adithan Chandrasekaran. 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 Adithan Chandrasekaran. The network helps show where Adithan Chandrasekaran may publish in the future.
Co-authorship network of co-authors of Adithan Chandrasekaran
This figure shows the co-authorship network connecting the top 25 collaborators of Adithan Chandrasekaran. A scholar is included among the top collaborators of Adithan Chandrasekaran 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 Adithan Chandrasekaran. Adithan Chandrasekaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 50 | |
| 8 | 17 | |
| 9 | 21 | |
| 10 | 35 | |
| 11 | 13 | |
| 12 | 41 | |
| 13 | 7 | |
| 14 | 19 | |
| 15 | Effect of Honey on CYP3A4 Enzyme and P-Glycoprotein Activity in Healthy Human Volunteers | 5 |
| 16 | 22 | |
| 17 | 11 | |
| 18 | 16 | |
| 19 | 96 | |
| 20 | 60 |
About Adithan Chandrasekaran
Adithan Chandrasekaran is a scholar working on Pharmacology, Applied Microbiology and Biotechnology and Biochemistry, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (24 papers), Drug Transport and Resistance Mechanisms (13 papers) and Blood Pressure and Hypertension Studies (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (94 citations), Pharmacology (383 citations) and Molecular Medicine (61 citations). Adithan Chandrasekaran has collaborated with scholars based in India, France and Switzerland. Frequent co-authors include Deepak Gopal Shewade, Soya S. Sam, A Malini, B. N. Harish, Gautam Roy, Nathalie Gérard, R. V. Krishnamoorthy, Kesavan Ramasamy, Jayaraman Balachander and C. H. Shashindran. Their work appears in journals such as Clinica Chimica Acta, Psychiatry Research and British Journal of Clinical Pharmacology.
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.