P. Kumarasamy

472 total citations
49 papers, 350 citations indexed

About

P. Kumarasamy is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, P. Kumarasamy has authored 49 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 9 papers in Agronomy and Crop Science and 8 papers in Animal Science and Zoology. Recurrent topics in P. Kumarasamy's work include Genetic and phenotypic traits in livestock (16 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Environmental Toxicology and Ecotoxicology (7 papers). P. Kumarasamy is often cited by papers focused on Genetic and phenotypic traits in livestock (16 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Environmental Toxicology and Ecotoxicology (7 papers). P. Kumarasamy collaborates with scholars based in India, United States and Taiwan. P. Kumarasamy's co-authors include R. Saravanan, Babu Rajendran Ramaswamy, M Vijayakumaran, Rathinam Arthur James, S. Vignesh, Palaninathan Varalakshmi, Chidambaram Prahalathan, K. Kumanan, Arif Salman and Solomon F.D. Paul and has published in prestigious journals such as Journal of Periodontology, Toxicology and Environmental Monitoring and Assessment.

In The Last Decade

P. Kumarasamy

44 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Kumarasamy India 12 98 94 55 54 43 49 350
Helga Sauerwein Germany 10 136 1.4× 46 0.5× 87 1.6× 32 0.6× 157 3.7× 12 447
Dragana Samardzija Nenadov Serbia 12 51 0.5× 218 2.3× 80 1.5× 79 1.5× 15 0.3× 26 411
Abhay Singh Yadav India 10 54 0.6× 93 1.0× 40 0.7× 31 0.6× 27 0.6× 35 323
Roselyne Gautier France 9 31 0.3× 202 2.1× 158 2.9× 59 1.1× 9 0.2× 15 455
Katarí­na Holovská Slovakia 12 15 0.2× 167 1.8× 65 1.2× 55 1.0× 17 0.4× 56 452
Milan Maretta Slovakia 12 41 0.4× 181 1.9× 83 1.5× 48 0.9× 10 0.2× 49 496
Alessandro Ubaldi Italy 12 21 0.2× 176 1.9× 33 0.6× 55 1.0× 9 0.2× 21 304
Alice Desmarchais France 16 101 1.0× 193 2.1× 120 2.2× 43 0.8× 142 3.3× 26 664
Peng Han China 11 83 0.8× 22 0.2× 136 2.5× 72 1.3× 40 0.9× 30 421
Agnès Fournier France 15 73 0.7× 316 3.4× 65 1.2× 91 1.7× 17 0.4× 33 515

Countries citing papers authored by P. Kumarasamy

Since Specialization
Citations

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

Fields of papers citing papers by P. Kumarasamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Kumarasamy

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

All Works

20 of 20 papers shown
1.
Perumal, Venkatachalam, et al.. (2023). Single nucleotide polymorphisms of Interleukin − 4, Interleukin-18, FCRL3 and sPLA2IIa genes and their association in pathogenesis of endometriosis. Molecular Biology Reports. 50(5). 4239–4252. 4 indexed citations
2.
Kumarasamy, P., et al.. (2020). Genetic and non-genetic factors affecting semen production and quality characteristics of Gir cattle breed under semi-arid climate. Veterinary World. 13(8). 1714–1718. 5 indexed citations
3.
Kumarasamy, P., et al.. (2018). Vetinformatics: A New Paradigm for Quality Veterinary Services. Journal of Veterinary Science & Technology. 5(2). 16–19. 4 indexed citations
4.
Krishnan, G., et al.. (2016). The presence of heparin binding proteins and their impact on semen quality of Holstein Friesian bulls. The Indian Journal of Animal Sciences. 86(4). 4 indexed citations
5.
Kumarasamy, P., et al.. (2015). Characterization of protein profile in the Asian sea bass, Lates calcarifer (Bloch) exposed to copper. International Journal of Fisheries and Aquatic Studies. 2(6). 409–415. 4 indexed citations
6.
Krishnan, G., et al.. (2015). Effect of fertility associated proteins on lipid peroxidation production in Holstein Friesian semen. The Indian Journal of Animal Sciences. 85(11). 4 indexed citations
7.
Murali, N., et al.. (2014). GROWTH PROFILE OF MADRAS RED SHEEP IN FARMER'S FLOCKS. Indian Journal of Small Ruminants (The). 20(1). 20–23. 4 indexed citations
8.
9.
Usha, R., et al.. (2013). Sublethal Effect of Profenofos on Oxygen Consumption and Gill Histopathology of The Indian Major Carp, Catla Catla (Hamilton). 1(2). 0. 12 indexed citations
10.
Kumarasamy, P., et al.. (2013). Phylogenetic analysis of ratite bird emu (Dromaius Novaehollandiae) using sex specific sequences.. Indian Journal of Animal Research. 47(3). 247–250. 3 indexed citations
11.
Kumarasamy, P., et al.. (2012). Growth performance of ostriches (Struthio camelus) in India.. Indian Journal of Animal Research. 46(2). 176–179. 2 indexed citations
12.
RAJA, T V, et al.. (2012). Estimation of genetic parameters and trends for body weight traits in madras red sheep. Indian Journal of Small Ruminants (The). 18(2). 173–179. 10 indexed citations
13.
Kumarasamy, P., et al.. (2012). Incidence of Mortality among Swine Due to Classical Swine Fever-Postmortem Findings. Indian Journal of Animal Research. 46(1). 86–88. 1 indexed citations
14.
Salman, Arif, et al.. (2012). Association between interleukin-1 gene polymorphism and severity of chronic periodontitis in a south Indian population group. Journal of Indian Society of Periodontology. 16(2). 174–174. 23 indexed citations
15.
Vijayakumaran, M, et al.. (2011). Sublethal Effect of Copper Toxicity Against Histopathological Changes in the Spiny Lobster, Panulirus homarus (Linnaeus, 1758). Biological Trace Element Research. 145(2). 201–210. 29 indexed citations
16.
Kumarasamy, P., et al.. (2010). Bottleneck Analysis in Coimbatore Breed of Sheep (Ovis Aries) Using Molecular Markers. SSRN Electronic Journal.
17.
Kumarasamy, P., et al.. (2010). Evaluation of Z-W Sex Chromosomal Molecular Markers for Determination of Sex in Emu (Dromaius Novaehollandiae). SSRN Electronic Journal.
18.
Kumarasamy, P., et al.. (2009). Molecular Characterization of Coimbatore Breed of Sheep (Ovis aries) in South India. SSRN Electronic Journal. 10 indexed citations
19.
Kumarasamy, P., et al.. (2008). Chromosomal characterization of Umblachery breed of cattle (Bos indicus) – a famous South Indian breed of Tamilnadu, India. Indian Journal of Science and Technology. 1(6). 1–3. 1 indexed citations
20.
Prahalathan, Chidambaram, et al.. (2006). Salubrious effects of lipoic acid against adriamycin-induced clastogenesis and apoptosis in Wistar rat bone marrow cells. Toxicology. 222(3). 225–232. 23 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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