M. Bagath
About
M. Bagath is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Molecular Biology.
According to data from OpenAlex, M. Bagath has authored 45 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Animal Science and Zoology, 12 papers in Agronomy and Crop Science and 10 papers in Molecular Biology. Recurrent topics in M. Bagath's work include Effects of Environmental Stressors on Livestock (36 papers), Meat and Animal Product Quality (15 papers) and Thermoregulation and physiological responses (8 papers). M. Bagath is often cited by papers focused on Effects of Environmental Stressors on Livestock (36 papers), Meat and Animal Product Quality (15 papers) and Thermoregulation and physiological responses (8 papers). M. Bagath collaborates with scholars based in India, Australia and Germany. M. Bagath's co-authors include Veerasamy Sejian, Raghavendra Bhatta, G. Krishnan, Govindan Krishnan, V. P. Rashamol, Pragna Prathap, V. Girish Kumar, C. Devaraj, V. Beena and P Archana and has published in prestigious journals such as Meat Science, Theriogenology and Applied Biochemistry and Biotechnology.
In The Last Decade
M. Bagath
45 papers receiving 1.8k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| M. Bagath India | 20 | 1.2k | 311 | 305 | 291 | 287 | 45 | 1.8k | ||
| M.V. Sanz-Fernandez United States | 27 | 1.3k 1.1× | 798 2.6× | 339 1.1× | 305 1.0× | 256 0.9× | 55 | 2.1k | ||
| Francesca Arfuso Italy | 25 | 490 0.4× | 370 1.2× | 209 0.7× | 210 0.7× | 101 0.4× | 175 | 2.3k | ||
| Jay S Johnson United States | 24 | 1.5k 1.2× | 307 1.0× | 403 1.3× | 258 0.9× | 215 0.7× | 126 | 2.0k | ||
| Gyanendra Singh India | 24 | 917 0.8× | 520 1.7× | 261 0.9× | 296 1.0× | 514 1.8× | 102 | 1.7k | ||
| Surinder S. Chauhan Australia | 24 | 1.6k 1.4× | 379 1.2× | 361 1.2× | 251 0.9× | 225 0.8× | 70 | 2.1k | ||
| Anne‐Helene Tauson Denmark | 22 | 739 0.6× | 341 1.1× | 304 1.0× | 191 0.7× | 211 0.7× | 146 | 1.7k | ||
| S. Kahl United States | 27 | 863 0.7× | 652 2.1× | 215 0.7× | 338 1.2× | 307 1.1× | 102 | 2.0k | ||
| M.L. Rhoads United States | 16 | 936 0.8× | 657 2.1× | 284 0.9× | 335 1.2× | 109 0.4× | 47 | 1.4k | ||
| L.H. Baumgard United States | 15 | 1.5k 1.3× | 891 2.9× | 432 1.4× | 422 1.5× | 142 0.5× | 25 | 2.1k | ||
| Theodore H. Elsasser United States | 29 | 764 0.7× | 815 2.6× | 246 0.8× | 412 1.4× | 637 2.2× | 96 | 2.7k |
Countries citing papers authored by M. Bagath
Since
Specialization
Citations
This map shows the geographic impact of M. Bagath'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. Bagath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bagath more than expected).
Fields of papers citing papers by M. Bagath
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by M. Bagath. 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. Bagath. The network helps show where M. Bagath may publish in the future.
Co-authorship network of co-authors of M. Bagath
This figure shows the co-authorship network connecting the top 25 collaborators of M. Bagath. A scholar is included among the top collaborators of M. Bagath 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. Bagath. M. Bagath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Sejian, Veerasamy, M.V. Silpa, C. Devaraj, et al.. (2021). Heat Stress and Goat Welfare: Adaptation and Production Considerations. Animals. 11(4). 1021–1021.
2.
Chauhan, Surinder S., V. P. Rashamol, M. Bagath, Veerasamy Sejian, & Frank R. Dunshea. (2021). Impacts of heat stress on immune responses and oxidative stress in farm animals and nutritional strategies for amelioration. International Journal of Biometeorology. 65(7). 1231–1244.
3.
Sejian, Veerasamy, M.V. Silpa, Vinícius de França Carvalho Fonsêca, et al.. (2021). Goat as the ideal climate-resilient animal model in tropical environment: revisiting advantages over other livestock species. International Journal of Biometeorology. 65(12). 2229–2240.
4.
Bagath, M., et al.. (2020). Summer season induced changes in quantitative expression patterns of different heat shock response genes in Salem black goats. Tropical Animal Health and Production. 52(5). 2725–2730.
5.
Rashamol, V. P., Veerasamy Sejian, Pragna Prathap, et al.. (2019). Prediction models, assessment methodologies and biotechnological tools to quantify heat stress response in ruminant livestock. International Journal of Biometeorology. 63(9). 1265–1281.
6.
Rashamol, V. P., Veerasamy Sejian, M. Bagath, et al.. (2019). Effect of heat stress on the quantitative expression patterns of different cytokine genes in Malabari goats. International Journal of Biometeorology. 63(8). 1005–1013.
7.
Bagath, M., G. Krishnan, C. Devaraj, et al.. (2019). The impact of heat stress on the immune system in dairy cattle: A review. Research in Veterinary Science. 126. 94–102.
8.
Kumar, V. Girish, V. P. Rashamol, Veerasamy Sejian, et al.. (2019). Quantitative analysis of expression patterns of different cell surface Toll-like receptor genes imparting heat stress resilience to indigenous Osmanabadi and Salem Black goat breeds. Journal of Animal Behaviour and Biometeorology. 8(1). 25–31.
9.
Krishnan, G., et al.. (2019). Heat stress impact on the expression patterns of different reproduction related genes in Malabari goats. Theriogenology. 131. 169–176.
10.
Archana, P, Veerasamy Sejian, S. Wilfred Ruban, et al.. (2018). Comparative assessment of heat stress induced changes in carcass traits, plasma leptin profile and skeletal muscle myostatin and HSP70 gene expression patterns between indigenous Osmanabadi and Salem Black goat breeds. Meat Science. 141. 66–80.
11.
Bagath, M., et al.. (2018). Expression patterns of candidate genes reflecting the growth performance of goats subjected to heat stress. Molecular Biology Reports. 45(6). 2847–2856.
12.
Prathap, Pragna, Veerasamy Sejian, M. Bagath, et al.. (2018). Comparative assessment of growth performance of three different indigenous goat breeds exposed to summer heat stress. Journal of Animal Physiology and Animal Nutrition. 102(4). 825–836.
13.
Manimaran, A., A. Kumaresan, K. P. Ramesha, et al.. (2018). Metabolism and immune status during transition period influences the lactation performance in Zebu (Bos indicus) cows. The Indian Journal of Animal Sciences. 88(9). 1064–1069.
14.
Aleena, Joy, Veerasamy Sejian, M. Bagath, et al.. (2018). Resilience of three indigenous goat breeds to heat stress based on phenotypic traits and PBMC HSP70 expression. International Journal of Biometeorology. 62(11). 1995–2005.
15.
Soren, N. M., Veerasamy Sejian, M. Bagath, et al.. (2017). Impact of heat stress, nutritional stress and combined (heat and nutritional) stresses on rumen associated fermentation characteristics, histopathology and HSP70 gene expression in goats. Journal of Animal Behaviour and Biometeorology. 5(2). 36–48.
16.
Sejian, Veerasamy, et al.. (2016). Quantitative expression of hepatic toll-like receptors 1–10 mRNA in Osmanabadi goats during different climatic stresses. Small Ruminant Research. 141. 11–16.
17.
Sejian, Veerasamy, M. Bagath, A. Mech, et al.. (2015). Adaptive capability as indicated by behavioral and physiological responses, plasma HSP70 level, and PBMC HSP70 mRNA expression in Osmanabadi goats subjected to combined (heat and nutritional) stressors. International Journal of Biometeorology. 60(9). 1311–1323.
18.
Varalakshmi, S., et al.. (2013). Use of Novel Lactic Acid Bacterial Strains with Antagonistic Activity for the Preparation of Safe Indigenous Fermented Dairy Foods (Dahi and Raita). Journal of Food Safety. 34(1). 26–33.
19.
Bagath, M., et al.. (2012). Identification of Cellulase Gene from the Metagenome of Equus burchelli Fecal Samples and Functional Characterization of a Novel Bifunctional Cellulolytic Enzyme. Applied Biochemistry and Biotechnology. 167(1). 132–141.
20.
Bagath, M., et al.. (2011). Molecular cloning, expression and characterization of a novel feruloyl esterase enzyme from the symbionts of termite (Coptotermes formosanus) gut. BMB Reports. 44(1). 52–57.
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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