Narayanan Kandasamy

723 total citations
30 papers, 343 citations indexed

About

Narayanan Kandasamy is a scholar working on Agronomy and Crop Science, Genetics and General Agricultural and Biological Sciences. According to data from OpenAlex, Narayanan Kandasamy has authored 30 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Agronomy and Crop Science, 13 papers in Genetics and 7 papers in General Agricultural and Biological Sciences. Recurrent topics in Narayanan Kandasamy's work include Genetic and phenotypic traits in livestock (12 papers), Livestock Management and Performance Improvement (11 papers) and Agricultural Economics and Practices (7 papers). Narayanan Kandasamy is often cited by papers focused on Genetic and phenotypic traits in livestock (12 papers), Livestock Management and Performance Improvement (11 papers) and Agricultural Economics and Practices (7 papers). Narayanan Kandasamy collaborates with scholars based in India, United Kingdom and Australia. Narayanan Kandasamy's co-authors include S. Panneerselvam, A.K. Thiruvenkadan, Mark Gurnell, John Coates, Sarah N. Garfinkel, Lionel Page, Hugo Critchley, Laura Fugazzola, Krishna Chatterjee and Fiona E. Karet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Narayanan Kandasamy

24 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Narayanan Kandasamy India	9	90	68	61	51	43	30	343
Á. Török Hungary	17	58 0.6×	72 1.1×	10 0.2×	102 2.0×	9 0.2×	48	747
Paul D. Carrière Canada	15	177 2.0×	107 1.6×	9 0.1×	126 2.5×	9 0.2×	29	668
Norihiro Sugino Japan	19	154 1.7×	59 0.9×	6 0.1×	189 3.7×	12 0.3×	23	993
Lifa Lee Japan	17	179 2.0×	35 0.5×	7 0.1×	237 4.6×	15 0.3×	24	1.1k
Roberto Ponzio Argentina	17	110 1.2×	102 1.5×	4 0.1×	180 3.5×	13 0.3×	32	656
L. Johnson United States	10	35 0.4×	30 0.4×	11 0.2×	32 0.6×	7 0.2×	25	417
Shiro Kashida Japan	12	73 0.8×	38 0.6×	10 0.2×	158 3.1×	10 0.2×	14	830
Alina Gajewska Poland	13	74 0.8×	106 1.6×	5 0.1×	72 1.4×	6 0.1×	61	507
T. G. Ramsay United States	10	29 0.3×	70 1.0×	12 0.2×	57 1.1×	22 0.5×	12	400
Daniel R. Aquilano United States	13	213 2.4×	324 4.8×	4 0.1×	224 4.4×	23 0.5×	26	733

Countries citing papers authored by Narayanan Kandasamy

Since Specialization

Citations

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

Fields of papers citing papers by Narayanan Kandasamy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narayanan Kandasamy

This figure shows the co-authorship network connecting the top 25 collaborators of Narayanan Kandasamy. A scholar is included among the top collaborators of Narayanan Kandasamy 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 Narayanan Kandasamy. Narayanan Kandasamy 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

Kandasamy, Narayanan, et al.. (2025). Estimation of T scores with Hologic using NatIve vs. Caucasian data in IndiAns (ETHNICA): a single center retrospective study. BMC Musculoskeletal Disorders. 26(1). 448–448.

Powlson, Andrew, Anand K. Annamalai, Narayanan Kandasamy, et al.. (2023). High prevalence of severe sleep cycle disruption in de novo acromegaly and underdiagnosis by common clinical screening tools: A prospective, observational, cross‐sectional study. Clinical Endocrinology. 100(3). 251–259. 1 indexed citations

Venkataraman, Satchi, et al.. (2017). Comparative evaluation of safety and efficacy of glimepiride and sitagliptin in combination with metformin in patients with type 2 diabetes mellitus: Indian multicentric randomized trial - START Study. Indian Journal of Endocrinology and Metabolism. 21(5). 745–745. 16 indexed citations

Kandasamy, Narayanan, et al.. (2016). Interoceptive Ability Predicts Survival on a London Trading Floor.. QUT ePrints (Queensland University of Technology). 3 indexed citations

Challis, Benjamin, Narayanan Kandasamy, Andrew Powlson, et al.. (2016). Familial Adrenocortical Carcinoma in Association With Lynch Syndrome. The Journal of Clinical Endocrinology & Metabolism. 101(6). 2269–2272. 26 indexed citations

Kandasamy, Narayanan, Sarah N. Garfinkel, Lionel Page, et al.. (2016). Interoceptive Ability Predicts Survival on a London Trading Floor. Scientific Reports. 6(1). 32986–32986. 61 indexed citations

Kandasamy, Narayanan, et al.. (2012). Economics of coimbatore sheep rearing. Indian Journal of Small Ruminants (The). 18(2). 239–243. 1 indexed citations

Kandasamy, Narayanan, Graham Lennox, Anand K. Annamalai, Gerald A. Maguire, & Amanda Adler. (2012). Sitagliptin in Glutamic Acid Decarboxylase Antibody-Positive Diabetes Mellitus. Endocrine Practice. 18(4). e65–e68. 7 indexed citations

Kandasamy, Narayanan, et al.. (2010). Rearing environment and husbandry practices of Coimbatore sheep.. The Indian Journal of Animal Sciences. 80(5). 470–472. 4 indexed citations

10.

Panneerselvam, S., et al.. (2009). Carcass characteristics of Coimbatore sheep.. The Indian Veterinary Journal. 86(8). 810–812.

11.

Kandasamy, Narayanan, et al.. (2009). Distribution and breed characteristics of Coimbatore sheep.. The Indian Journal of Animal Sciences. 79(2). 178–181. 1 indexed citations

12.

Murali, N., et al.. (2009). Cytogenetic characterization of Coimbatore sheep.. Indian Journal of Small Ruminants (The). 15(1). 55–61. 1 indexed citations

13.

Kandasamy, Narayanan, et al.. (2009). DISTRIBUTION, CHARACTERISTICS AND MANAGEMENT OF VEMBUR SHEEP. The Indian Journal of Animal Sciences. 79(1). 73–77. 4 indexed citations

14.

Thiruvenkadan, A.K., Narayanan Kandasamy, & S. Panneerselvam. (2008). Coat colour inheritance in horses. Livestock Science. 117(2-3). 109–129. 41 indexed citations

15.

Kandasamy, Narayanan, et al.. (2003). Milk Protein Polymorphism in Kangayam Cattle. Tropical Animal Health and Production. 35(2). 147–153. 6 indexed citations

16.

Sahana, Goutam, et al.. (2000). Kodi Adu-A new goat breed of Tamil N adu. The Indian Journal of Animal Sciences. 70(6). 649–651. 4 indexed citations

17.

Thiruvenkadan, A.K., S. Panneerselvam, & Narayanan Kandasamy. (2000). Distribution, characteristics and production performance of Kanni Adu goats of Tamil Nadu.. The Indian Journal of Animal Sciences. 70(7). 723–727. 5 indexed citations

18.

Thiruvenkadan, A.K., S. Panneerselvam, & Narayanan Kandasamy. (2000). Reproductive performance of kanni adu goats under field conditions. The Indian Journal of Animal Sciences. 70(7). 691–693. 2 indexed citations

19.

Kandasamy, Narayanan, et al.. (1983). Studies on physical measurements live weight and fleece weight in native and crossbred sheep in a semiarid zone of India. Tropical Agriculture. 60(2). 92–94. 2 indexed citations

20.

Kandasamy, Narayanan, et al.. (1979). Studies on the duration of pregnancy in relation to size of lamb at birth in indigenous and cross-bred sheep.. PubMed. 56(10). 855–8. 1 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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