M. Shanmugam

1.5k total citations
67 papers, 1.1k citations indexed

About

M. Shanmugam is a scholar working on Animal Science and Zoology, Genetics and Reproductive Medicine. According to data from OpenAlex, M. Shanmugam has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Animal Science and Zoology, 13 papers in Genetics and 12 papers in Reproductive Medicine. Recurrent topics in M. Shanmugam's work include Animal Nutrition and Physiology (28 papers), Sperm and Testicular Function (11 papers) and Livestock and Poultry Management (10 papers). M. Shanmugam is often cited by papers focused on Animal Nutrition and Physiology (28 papers), Sperm and Testicular Function (11 papers) and Livestock and Poultry Management (10 papers). M. Shanmugam collaborates with scholars based in India, United States and Canada. M. Shanmugam's co-authors include U. Rajkumar, M. R. Reddy, T. R. Kannaki, Preeti Verma, A. Vinoth, S.V. Rama Rao, Vishnu Bhat B, S. Nandhakumar, Parkash Chand and Subramani Parasuraman and has published in prestigious journals such as Scientific Reports, Journal of Dental Research and Poultry Science.

In The Last Decade

M. Shanmugam

61 papers receiving 1.1k citations

Peers

M. Shanmugam

ASZ

IMMUN

GENET

Yuna Min China

Liuhong Shen China

Suizhong Cao China

Martine Schroyen Belgium

Laura Soler France

Wanglong Zheng China

A. Niasari-Naslaji Iran

Anna Balestrieri Italy

Shiyan Qiao China

Jiufeng Wang China

Yuna Min China

M. Shanmugam

601 ×1.2

ASZ

364 ×2.0

75 ×0.5

IMMUN

79 ×0.5

GENET

27 ×0.2

Citations per year, relative to M. Shanmugam M. Shanmugam (= 1×) peers Yuna Min

Countries citing papers authored by M. Shanmugam

Since Specialization

Citations

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

Fields of papers citing papers by M. Shanmugam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Shanmugam

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

Shanmugam, M., et al.. (2025). Improving channel equalization in cell-free MIMO networks using reconfigurable intelligent surfaces and in-context learning. Annals of Telecommunications.

Kannan, A., B. Prakash, S.S. Paul, et al.. (2022). Effect of dietary supplementation of zinc proteinate on performance, egg quality, blood biochemical parameters, and egg zinc content in White Leghorn layers. Tropical Animal Health and Production. 54(3). 160–160. 3 indexed citations

Prince, L. L. L., et al.. (2021). Effect on physiological and production parameters upon supplementation of fermented yeast culture to Nicobari chickens during and post summer. Journal of Animal Physiology and Animal Nutrition. 106(2). 284–295. 5 indexed citations

Shanmugam, M. & R. K. Mahapatra. (2020). Cryopreservation of Ghagus chicken semen: Effect of cryoprotectants, diluents and thawing temperature. Reproduction in Domestic Animals. 55(8). 951–957. 15 indexed citations

Shanmugam, M. & T. R. Kannaki. (2020). Effect of semen parameters on duration of fertility in layer breeder chicken. Indian Journal of Poultry Science. 55(1). 51–51.

Rajkumar, U., et al.. (2016). Effect of increased incubation temperature on Hsp 90 and 60 gene expressions in coloured broiler chickens. Journal of Applied Animal Research. 45(1). 298–303. 15 indexed citations

Thirunalasundari, Thiyagarajan, et al.. (2016). Effect of early age thermal conditioning on expression of heat shock proteins in liver tissue and biochemical stress indicators in colored broiler chicken. European Journal of Experimental Biology. 6(2). 7 indexed citations

Rajkumar, Utkrisht, et al.. (2015). Effect of increased incubation temperature on juvenile growth, immune and serum biochemical parameters in selected chicken populations. The Indian Journal of Animal Sciences. 85(12). 1328–1333. 9 indexed citations

Rajkumar, U., et al.. (2015). Effect of Embryonic Thermal Exposure on Heat Shock Proteins (HSPs) Gene Expression and Serum T ₃ Concentration in Two Broiler Populations. Animal Biotechnology. 26(4). 260–267. 20 indexed citations

10.

Shanmugam, M., et al.. (2015). Thermal manipulation during embryogenesis improves certain semen parameters in layer breeder chicken during hot climatic conditions. Animal Reproduction Science. 161. 112–118. 6 indexed citations

11.

Haunshi, Santosh, et al.. (2015). Characterization of Ghagus breed vis-a-vis PD-4 birds for production, adaptability, semen and egg quality traits. The Indian Journal of Animal Sciences. 85(12). 11 indexed citations

12.

Prakash, B., M. Shanmugam, A.K. Panda, et al.. (2014). Effect of Feeding Varying Nutrient Density Diets on Productive Performance and Semen Quality Parameters in Dahlem Red Birds. Indian Journal of Animal Nutrition. 31(4). 378–383. 2 indexed citations

13.

Shanmugam, M., et al.. (2013). Inhibitory effects of nitric oxide on steroidogenesis by buffalo granulosa cells cultured in vitro. The Indian Journal of Animal Sciences. 83(1). 2 indexed citations

14.

Haunshi, Santosh, M.K. Padhi, M. Niranjan, et al.. (2013). Comparative evaluation of native breeds of chicken for persistency of egg production, egg quality and biochemical traits. The Indian Journal of Animal Sciences. 83(1). 220–223. 6 indexed citations

15.

Haunshi, Santosh, et al.. (2013). Carcass characteristics and chemical composition of breast and thigh muscles of native chicken breeds. Indian Journal of Poultry Science. 48(2). 219–222. 18 indexed citations

16.

Haunshi, Santosh, M. Shanmugam, M.K. Padhi, et al.. (2011). Evaluation of two Indian native chicken breeds for reproduction traits and heritability of juvenile growth traits. Tropical Animal Health and Production. 44(5). 969–973. 35 indexed citations

17.

Reddy, M. R., et al.. (2010). Differential expression of Toll-like receptor mRNA in White Leghorn and indigenous chicken of India. Veterinary Research Communications. 34(7). 633–639. 22 indexed citations

18.

Shanmugam, M., et al.. (2008). Performance of Zebu Crossbred Dairy Heifers Fed Monensin Around Puberty. Indian Journal of Animal Nutrition. 25(4). 342–348.

19.

Shanmugam, M., et al.. (2005). Changes in Tissue Carbohydrate and Lipid Levels in the Fresh Water Crab Barytelphusa cunicularis (W.) on Endosulfan Stress. Pesticide Research Journal. 17(2). 70–73. 1 indexed citations

20.

Shanmugam, M., et al.. (2002). Knowledge level of dairy breeding practices among farmers in Chengalpattu. The Indian Veterinary Journal. 79(8). 814–816.

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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