S. Kumar

400 citations
13 papers · 251 · h-index 7

Impact in

    • Livestock Farming and Management
    • Livestock Management and Performance Improvement
  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic and phenotypic traits in livestock 8
    • Genetic Mapping and Diversity in Plants and Animals 6
    • DNA Repair Mechanisms 3

S. Kumar

13 papers receiving 223 citations

Peers

S. Kumar
Comparison fields: 5 of 45
  • Agronomy and Crop Science 85
  • Genetics 195
  • Cancer Research 27
  • Animal Science and Zoology 13
  • General Agricultural and Biological Sciences 10
Replace Tamako Matsuhashi with:
Tamako Matsuhashi Japan
Jingfang Si China
M. C. T. Penedo United States
Neena Amatya Gorkhali Nepal
Negar Khayatzadeh Austria
Florent Woloszyn France
Andrej Razpet Slovenia
Mahmoud Amiri Roudbar Iran
G.P. Di Meo Italy
Wenguang Zhang China
S. Kumar relative to Tamako Matsuhashi Japan Tamako Matsuhashi's profile →
Citations per field
00.5×1.5×
Tamako Matsuhashi · 1×
Citations per year

Countries citing papers authored by S. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by S. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Kumar Line = papers co-authored together S. Kumar links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200777
2 200260
3 200943
4 200917
5 201814
6 202011
7 20119
8 20246
9 20214
10 20203
11 20243
12 20242
13 20192

About S. Kumar

S. Kumar is a scholar working on Genetics, Molecular Biology, Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 13 papers that have together received 251 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Sperm and Testicular Function (3 papers), DNA Repair Mechanisms (3 papers), Reproductive Biology and Fertility (3 papers), Livestock Farming and Management (3 papers), Cancer-related molecular mechanisms research (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Agronomy and Crop Science (85 citations), Genetics (195 citations), Cancer Research (27 citations), Animal Science and Zoology (13 citations) and General Agricultural and Biological Sciences (10 citations). S. Kumar has collaborated with scholars based in India, United States and Egypt. Frequent co-authors include Muniyandi Nagarajan, Gopala Nishanth, Nitin Kumar, S.C. Gupta, Naveen Kumar Navani, Pradeep Kumar Jain, Anjali Pande, Naresh K. Verma, Ramesh Chander and S. P. Dixit. Their work appears in journals such as Animal Genetics, Cell Death Discovery, Livestock Science, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Journal of Cellular Physiology.

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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