C Adithan

1.6k total citations
74 papers, 1.2k citations indexed

About

C Adithan is a scholar working on Pharmacology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, C Adithan has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pharmacology, 15 papers in Molecular Biology and 15 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in C Adithan's work include Pharmacogenetics and Drug Metabolism (17 papers), Heart Rate Variability and Autonomic Control (7 papers) and Pharmacological Effects and Toxicity Studies (7 papers). C Adithan is often cited by papers focused on Pharmacogenetics and Drug Metabolism (17 papers), Heart Rate Variability and Autonomic Control (7 papers) and Pharmacological Effects and Toxicity Studies (7 papers). C Adithan collaborates with scholars based in India, France and Germany. C Adithan's co-authors include Sandhiya Selvarajan, Suresh Chandra Pradhan, C. H. Shashindran, Pravati Pal, R. V. Krishnamoorthy, G K Pal, Nathalie Gérard, Nivedita Nanda, S. Gopalakrishnan and Tarun Kumar Dutta and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Cancer and Clinica Chimica Acta.

In The Last Decade

C Adithan

70 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
C Adithan India	20	309	269	194	178	166	74	1.2k
Caterina Palleria Italy	21	158 0.5×	255 0.9×	224 1.2×	126 0.7×	141 0.8×	75	1.5k
Robert Z. Harris United States	19	401 1.3×	313 1.2×	200 1.0×	131 0.7×	66 0.4×	28	1.6k
Wan Gyoon Shin South Korea	20	188 0.6×	211 0.8×	197 1.0×	64 0.4×	87 0.5×	62	1.2k
Ayman Al‐Shurbaji Sweden	14	344 1.1×	289 1.1×	96 0.5×	109 0.6×	93 0.6×	32	1.0k
Barbara Ameer United States	20	547 1.8×	249 0.9×	216 1.1×	135 0.8×	160 1.0×	42	1.9k
Jacqueline B. McCrea United States	26	311 1.0×	184 0.7×	188 1.0×	146 0.8×	299 1.8×	77	2.0k
Helle R. Angelo Denmark	19	288 0.9×	174 0.6×	207 1.1×	55 0.3×	72 0.4×	79	1.4k
Stephen D. Wise Singapore	16	244 0.8×	168 0.6×	104 0.5×	228 1.3×	163 1.0×	29	985
N. Rietbrock Germany	19	218 0.7×	361 1.3×	147 0.8×	231 1.3×	196 1.2×	147	1.4k
Dolores Ochoa Spain	25	548 1.8×	207 0.8×	273 1.4×	94 0.5×	100 0.6×	98	1.6k

Countries citing papers authored by C Adithan

Since Specialization

Citations

This map shows the geographic impact of C Adithan'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 C Adithan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Adithan more than expected).

Fields of papers citing papers by C Adithan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C Adithan. 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 C Adithan. The network helps show where C Adithan may publish in the future.

Co-authorship network of co-authors of C Adithan

This figure shows the co-authorship network connecting the top 25 collaborators of C Adithan. A scholar is included among the top collaborators of C Adithan 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 C Adithan. C Adithan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rani, Jyoti, Sandeep Grover, Puneet Talwar, et al.. (2019). Global Text Mining and Development of Pharmacogenomic Knowledge Resource for Precision Medicine. Frontiers in Pharmacology. 10. 839–839. 7 indexed citations

Shewade, Deepak Gopal, et al.. (2016). Serotonin transporter gene (SLC6A4) polymorphisms are associated with response to fluoxetine in south Indian major depressive disorder patients. European Journal of Clinical Pharmacology. 72(10). 1215–1220. 22 indexed citations

Adithan, C. (2014). Drug - drug interactions for therapeutic biologics. SHILAP Revista de lepidopterología. 14 indexed citations

Shewade, Deepak Gopal, et al.. (2013). Genetic variation and haplotype structure of the gene Vitamin K epoxide reductase complex, subunit 1 in the Tamilian population. Journal of Pharmacology and Pharmacotherapeutics. 4(1). 53–58. 7 indexed citations

Pal, G K, et al.. (2013). Preference for salt contributes to sympathovagal imbalance in the genesis of prehypertension. European Journal of Clinical Nutrition. 67(6). 586–591. 9 indexed citations

Pal, G K, C Adithan, P. H. Ananthanarayanan, et al.. (2013). Effects of Gender on Sympathovagal Imbalance, Prehypertension Status, and Cardiovascular Risks in First-Degree Relatives of Type 2 Diabetics. American Journal of Hypertension. 27(3). 317–324. 15 indexed citations

Adithan, C, et al.. (2012). Medication error - Inadvertent high dose intradermal cloxacillin induced skin necrosis. Indian Journal of Pharmacology. 44(1). 122–122. 1 indexed citations

Pal, G K, et al.. (2011). Assessment of Sympathovagal Imbalance By Spectral Analysis of Heart Rate Variability in Prehypertensive and Hypertensive Patients in Indian Population. Clinical and Experimental Hypertension. 33(7). 478–483. 48 indexed citations

Adithan, C, et al.. (2010). Atropine-induced rhabdomyolysis. Journal of Postgraduate Medicine. 56(1). 42–43. 7 indexed citations

10.

Balachander, J., et al.. (2009). Cholesteryl ester transfer protein TaqIB, −629C>A and I405V polymorphisms and risk of coronary heart disease in an Indian population. Clinica Chimica Acta. 402(1-2). 139–145. 22 indexed citations

11.

Adithan, C, et al.. (2006). Influence of the CYP2C9 AND CYP2C19 polymorphisms on phenytoin hydroxylation in healthy individuals from south India.. PubMed. 123(5). 665–70. 36 indexed citations

12.

Adithan, C, et al.. (2006). Common variants of Cholesteryl ester transfer protein gene and their association with lipid parameters in healthy volunteers of Tamilian population. Clinica Chimica Acta. 375(1-2). 140–146. 27 indexed citations

13.

Adithan, C, et al.. (2003). Genotype and allele frequency of CYP2D6 in Tamilian population. European Journal of Clinical Pharmacology. 59(7). 517–520. 15 indexed citations

14.

Adithan, C, et al.. (2000). Effect of two types of Indian breakfast on bioavailability of cefuroxime axetil.. PubMed. 112. 104–8. 6 indexed citations

15.

Abraham, Klaus, et al.. (2000). Review of endocrine pharmacology.. Indian Journal of Pharmacology. 32(4). 4 indexed citations

16.

Adithan, C, et al.. (2000). Status report on chemotherapeutic agents.. Indian Journal of Pharmacology. 32(4).

17.

Adithan, C, et al.. (1992). Pharmacokinetics of ciprofloxacin - limitation to salivary and urinary sampling. Indian Journal of Pharmacology. 24(1). 25. 4 indexed citations

18.

Adithan, C, et al.. (1990). Increased elimination of phenytoin in type I undernourished diabetic patients. Indian Journal of Pharmacology. 22(4). 211. 2 indexed citations

19.

Adithan, C, et al.. (1988). Effect of type i diabetes mellitus on theophylline elimination. Medical science research. 16(8). 427–428. 3 indexed citations

20.

Adithan, C, et al.. (1988). EFFECT OF DIABETES MELLITUS ON SALIVARY PARACETAMOL ELIMINATION. Clinical and Experimental Pharmacology and Physiology. 15(6). 465–471. 11 indexed citations

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.

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