Sanjeev Kumar

1.7k total citations
119 papers, 988 citations indexed

About

Sanjeev Kumar is a scholar working on Plant Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, Sanjeev Kumar has authored 119 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Plant Science, 48 papers in Animal Science and Zoology and 31 papers in Genetics. Recurrent topics in Sanjeev Kumar's work include Animal Nutrition and Physiology (40 papers), Livestock and Poultry Management (37 papers) and Genetic and phenotypic traits in livestock (19 papers). Sanjeev Kumar is often cited by papers focused on Animal Nutrition and Physiology (40 papers), Livestock and Poultry Management (37 papers) and Genetic and phenotypic traits in livestock (19 papers). Sanjeev Kumar collaborates with scholars based in India, United States and Poland. Sanjeev Kumar's co-authors include Major Singh, Neha Prakash, Abdul Rahim, Ananta Kumar Das, Sushma Rathaur, R. K. Singh, Mohammad Suhail Khan, Pradeep Kumar Burma, Deepak Pental and Bhupendra Chaudhary and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Frontiers in Plant Science.

In The Last Decade

Sanjeev Kumar

109 papers receiving 932 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjeev Kumar India 17 564 316 223 182 78 119 988
Shiqie Bai China 18 531 0.9× 303 1.0× 183 0.8× 89 0.5× 80 1.0× 89 1.1k
G.F. Hartnell United States 19 522 0.9× 346 1.1× 301 1.3× 133 0.7× 38 0.5× 39 917
Terry C. Nelsen United States 19 488 0.9× 180 0.6× 217 1.0× 137 0.8× 54 0.7× 73 1.1k
S.K.R. Karnati United States 19 191 0.3× 236 0.7× 280 1.3× 163 0.9× 63 0.8× 20 1.3k
Karen Aulrich Germany 16 757 1.3× 556 1.8× 440 2.0× 124 0.7× 19 0.2× 60 1.1k
M. L. Tejido Spain 20 201 0.4× 142 0.4× 218 1.0× 240 1.3× 58 0.7× 44 1.1k
Xinyu Wang China 19 752 1.3× 479 1.5× 98 0.4× 72 0.4× 22 0.3× 61 976
F. Békés Australia 28 1.6k 2.8× 334 1.1× 117 0.5× 44 0.2× 39 0.5× 51 2.0k
Elzânia Sales Pereira Brazil 20 353 0.6× 71 0.2× 529 2.4× 858 4.7× 37 0.5× 225 1.8k
Wenjie Huo China 23 172 0.3× 367 1.2× 282 1.3× 270 1.5× 50 0.6× 82 1.5k

Countries citing papers authored by Sanjeev Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeev Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Kumar. A scholar is included among the top collaborators of Sanjeev Kumar 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 Sanjeev Kumar. Sanjeev Kumar 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.
Kumar, Sanjeev, et al.. (2023). Investigating expression of IGF-1 candidate gene for growth-associated microsatellite genotypes in a resource population of RIR chicken. The Indian Journal of Animal Sciences. 93(5). 1 indexed citations
2.
Kumar, Sanjeev, et al.. (2022). Investigating whether microsatellites could influence the relative expression level of TLR4 gene in bursa of Rhode Island Red chicken. The Indian Journal of Animal Sciences. 92(8). 1020–1023. 2 indexed citations
3.
Kumar, Sanjeev, et al.. (2022). Identification of microRNAs involved in sucrose accumulation in sugarcane (Saccharum species hybrid). Plant Gene. 29. 100352–100352. 7 indexed citations
4.
Kumar, Sanjeev, et al.. (2020). GENOTYPE X ENVIRONMENT INTERACTION AND STABILITY ANALYSIS FOR SUGARCANE GENOTYPES EVALUATED IN MULTI-LOCATION TRIALS. SHILAP Revista de lepidopterología. 1(2).
5.
Khan, Mohammad Suhail, et al.. (2018). Characterization of leaf transcriptome, development and utilization of unigenes-derived microsatellite markers in sugarcane (Saccharum sp. hybrid). Physiology and Molecular Biology of Plants. 24(4). 665–682. 1 indexed citations
6.
Kumar, Sanjeev, et al.. (2018). Studies on insect diversity in mustard (Brassica campestris L.) ecosystem. Journal of Entomology and Zoology Studies. 6(5). 698–702. 2 indexed citations
7.
Kausar, Hina, et al.. (2016). Modelling of Rhode Island Red chicken strains. The Indian Journal of Animal Sciences. 86(5). 4 indexed citations
8.
Das, Ananta Kumar, Sanjeev Kumar, Abdul Rahim, & Anil Kumar Mishra. (2016). Characterization of Production and Reproduction Performances in Rhode Island Red-White Strain Chicken. Iranian journal of applied animal science. 6(3). 707–713. 2 indexed citations
9.
Rahim, Abdul, et al.. (2015). Immunocompetence traits and their association with layer economic traits in Rhode Island Red chicken.. Indian Journal of Poultry Science. 50(1). 13–17. 1 indexed citations
10.
Das, Ananta Kumar, Sanjeev Kumar, & Abdul Rahim. (2015). Genetics of Body Conformation and Feed Efficiency Characteristics in a Control Line of Rhode Island Red Chicken. Iranian journal of applied animal science. 5(4). 965–973. 9 indexed citations
11.
Das, Ananta Kumar, et al.. (2014). Immunocompetence traits and their association with layer production traits in CARI-Sonali commercial layer chicken. Indian Journal of Poultry Science. 49(1). 56–58. 3 indexed citations
12.
Kumar, Sanjeev, B. D. Singh, & Dwaipayan Sinha. (2012). RAPD markers for identification of sex in pointed gourd (Trichosanthes dioica Roxb.). Indian Journal of Biotechnology. 6 indexed citations
13.
Kumar, Sanjeev, et al.. (2011). Effect of bio-fertilizers and foliar spray of urea on symbiotic traits, nitrogen uptake and productivity of chickpea. Journal of Food Legumes. 24(2). 155–157. 5 indexed citations
14.
Kumar, Sanjeev, et al.. (2010). Genetics of immunocompetence traits in white leghorn chicken divergently selected for humoral response to sheep erythrocytes. Indian Journal of Poultry Science. 45(1). 18–21. 5 indexed citations
15.
Kumar, Sanjeev, et al.. (2009). Genetics of immunocompetence traits in Kadaknath native chicken. Indian Journal of Poultry Science. 44(2). 173–176. 6 indexed citations
16.
Sivaraman, G. K. & Sanjeev Kumar. (2006). Immune responsiveness to IBDV vaccine in SDL broiler chicken lines divergently selected for immunocompetence index. Indian Journal of Poultry Science. 41(1). 21–25. 1 indexed citations
17.
Kumar, Sanjeev, et al.. (2005). Immune response to IBD vaccine in White leghorn chickens divergently selected for antibody response to Sheep erythrocytes.. 14(2). 19–22. 1 indexed citations
18.
Shivakumar, Bhadravathi Marigowda & Sanjeev Kumar. (2005). Influence of divergent selection for response to sheep RBC on immunoresponsiveness to Newcastle disease vaccine in White Leghorn Chicken. The Indian Journal of Animal Sciences. 75(12). 1 indexed citations
19.
Kumar, Sanjeet, Vineeta Singh, Sanjeev Kumar, et al.. (2002). RAPD protocol for tagging of fertility restorer and male sterility genes in chilli (Capsicum annum L.). Vegetable Science. 29(2). 101–105. 5 indexed citations
20.
Singh, Ajay, Sanjeev Kumar, & Ishwar Singh. (1991). Functional properties of jack fruit seed flour. LWT. 24(4). 373–374. 30 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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