M. K. Singh

2.4k total citations
184 papers, 1.8k citations indexed

About

M. K. Singh is a scholar working on Agronomy and Crop Science, Genetics and Molecular Biology. According to data from OpenAlex, M. K. Singh has authored 184 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Agronomy and Crop Science, 53 papers in Genetics and 29 papers in Molecular Biology. Recurrent topics in M. K. Singh's work include Livestock Management and Performance Improvement (43 papers), Genetic and phenotypic traits in livestock (38 papers) and Agricultural Economics and Practices (25 papers). M. K. Singh is often cited by papers focused on Livestock Management and Performance Improvement (43 papers), Genetic and phenotypic traits in livestock (38 papers) and Agricultural Economics and Practices (25 papers). M. K. Singh collaborates with scholars based in India, United States and Switzerland. M. K. Singh's co-authors include PR Bergstresser, V C Maino, Shoor Vir Singh, Kusum Kapila, Mahesh Shivanand Dige, Jaya Sivaswami Tyagi, M. Muralidhar, Arvind Kumar, Neha Jain and Krishna K. Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

M. K. Singh

156 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. K. Singh India 20 408 396 381 298 278 184 1.8k
Ingeborg M. Langohr United States 23 273 0.7× 358 0.9× 242 0.6× 349 1.2× 98 0.4× 147 1.9k
Silvia Dei Giudici Italy 26 220 0.5× 170 0.4× 171 0.4× 414 1.4× 511 1.8× 78 2.1k
Tokuma Yanai Japan 30 265 0.6× 826 2.1× 395 1.0× 635 2.1× 142 0.5× 280 3.4k
Hiroyuki TANIYAMA Japan 25 135 0.3× 470 1.2× 363 1.0× 483 1.6× 525 1.9× 188 2.2k
Yoshiyasu KOBAYASHI Japan 24 483 1.2× 431 1.1× 142 0.4× 355 1.2× 223 0.8× 181 2.0k
Massimo Castagnaro Italy 28 313 0.8× 291 0.7× 349 0.9× 487 1.6× 96 0.3× 122 2.4k
Jean‐François Mornex France 23 214 0.5× 640 1.6× 308 0.8× 288 1.0× 304 1.1× 79 1.8k
J. A. Kramps Netherlands 27 244 0.6× 656 1.7× 166 0.4× 323 1.1× 269 1.0× 78 2.1k
Gary J. Kociba United States 28 533 1.3× 450 1.1× 609 1.6× 510 1.7× 155 0.6× 110 2.5k
David Steffen United States 22 226 0.6× 169 0.4× 270 0.7× 297 1.0× 273 1.0× 88 1.4k

Countries citing papers authored by M. K. Singh

Since Specialization
Citations

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

Fields of papers citing papers by M. K. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. K. Singh

This figure shows the co-authorship network connecting the top 25 collaborators of M. K. Singh. A scholar is included among the top collaborators of M. K. Singh 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. K. Singh. M. K. Singh 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.
Dige, Mahesh Shivanand, et al.. (2024). Deciphering the molecular mechanisms of heat stress tolerance in goats: Insights from transcriptome and Gene Co-expression analysis. Journal of Thermal Biology. 125. 104007–104007.
2.
Arora, Reena, et al.. (2024). Comparative transcriptome analyses of cardiac tissue reveals differential gene expression profiles in sheep in response to altitudinal adaptation. Small Ruminant Research. 238. 107330–107330. 3 indexed citations
3.
Dige, Mahesh Shivanand, et al.. (2024). Transcriptomic analysis reveals molecular insights into lactation dynamics in Jakhrana goat mammary gland. BMC Genomics. 25(1). 874–874. 2 indexed citations
4.
Krishna, Hare, Rajeev Kumar, Swati Sharma, et al.. (2024). Biofortification in garden peas through multi-micronutrient formulations. Scientia Horticulturae. 337. 113602–113602. 1 indexed citations
5.
Singh, S. P., S.D. Kharche, Manisha Pathak, et al.. (2022). Successful in vivo Transplantation of Cultured and Enriched Testicular Germ Cells of Pre-Pubertal Bucks to Busulfan-Treated Homologous Recipients. Cells Tissues Organs. 212(3). 232–244. 2 indexed citations
6.
Singh, S. P., S.D. Kharche, Manisha Pathak, et al.. (2021). Temperature response of enriched pre-pubertal caprine male germline stem cells in vitro. Cell Stress and Chaperones. 26(6). 989–1000. 2 indexed citations
7.
Singh, S. P., S.D. Kharche, Manisha Pathak, et al.. (2021). Low oxygen tension potentiates proliferation and stemness but not multilineage differentiation of caprine male germline stem cells. Molecular Biology Reports. 48(6). 5063–5074. 2 indexed citations
8.
Singh, M. K., et al.. (2018). Estimation of character association and direct and indirect effects in pea (Pisum sativum L.). International Journal of Chemical Studies. 6(5). 1924–1927.
9.
Sharma, Prashant, et al.. (2017). Agroforestry systems: Opportunities and challenges in India. Journal of Pharmacognosy and Phytochemistry. 6. 953–957. 19 indexed citations
10.
Singh, M. K., et al.. (2017). Quantification of litter fall and decomposition rate in shelterbelt and neem block plantation. Journal of Pharmacognosy and Phytochemistry. 6(6). 2491–2493. 2 indexed citations
11.
Singh, M. K., et al.. (2014). Analysis of prospects and problems of goat production in Bundelkhand region. Range Management and Agroforestry. 35(1). 163–168. 3 indexed citations
12.
Kumar, Dharmendra, Taruna Anand, Riaz Ahmad Shah, et al.. (2012). Expression patterns of OCT-4 and NANOG genes in buffalo (Bubalus bubalis) embryos produced by in vitro fertilization or parthenogenetic activation. The Indian Journal of Animal Sciences. 82(8). 834–837. 2 indexed citations
13.
Kumar, Dharmendra, Taruna Anand, Surendra Singh, et al.. (2012). Generation of buffalo embryonic stem cell-like cells from in vitro produced, day 8 hatched and day 9 expanded blastocysts. The Indian Journal of Animal Sciences. 82(8). 838–843. 2 indexed citations
14.
Singh, M. K., et al.. (2011). Venous Thrombo-Embolism During Pregnancy and Postpartum Period -. SHILAP Revista de lepidopterología. 1(1). 16–20. 1 indexed citations
15.
Singh, M. K., et al.. (2008). Effect of common salt and 2, 4-D Na salt application on weed growth and yield of upland direct seeded rice. ORYZA- An International Journal on Rice. 45(4). 296–299. 2 indexed citations
16.
Singh, M. K., et al.. (2008). Effect of supplementation of diets with BMD and Virginiamycin on the growth performance, carcass characteristics and bacterial population in broiler chickens. Veterinary World. 1(5). 141–143. 13 indexed citations
17.
Yadav, Jay S., et al.. (2005). Selection indices for growth traits in closed flock of Kutchi goats. The Indian Journal of Animal Sciences. 75(2).
18.
Singh, M. K., et al.. (2004). Rearing practices of Jakhrana goat in farmer's flock. Indian Journal of Small Ruminants (The). 10(1). 33–35. 4 indexed citations
19.
Singh, M. K., et al.. (2002). Breed characteristics of Marwari and Kathiawari horses. The Indian Journal of Animal Sciences. 72(4). 319–323. 12 indexed citations
20.
Singh, M. K., et al.. (2001). Weed management in rice (Oryza sativa)wheat (Triticum aestivum) cropping system under conservation tillage. Indian Journal of Agronomy. 58(3). 288–291. 5 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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