Dharmendra Kumar

2.5k citations
170 papers · 1.9k · h-index 25

Impact in

Papers in

Dharmendra Kumar

154 papers receiving 1.9k citations

Peers

Dharmendra Kumar
Comparison fields: 5 of 120
  • Reproductive Medicine 530
  • Physiology 105
  • Public Health, Environmental and Occupational Health 588
  • Genetics 466
  • Agronomy and Crop Science 175
Replace Yanli Zhang with:
Yanli Zhang China
Young‐Joo Yi South Korea
Caiqiao Zhang China
Xiaolong Jiang China
Wei Shen China
Zhendan Shi China
Young C. Lin United States
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Citations per field
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Citations per year

Countries citing papers authored by Dharmendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Dharmendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dharmendra 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 Dharmendra Kumar Line = papers co-authored together Dharmendra Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200591
2 200489
3 201576
4 201573
5 201469
6 202264
7 200857
8 202348
9 200945
10 201543
11 200939
12 200539
13 201236
14 201433
15 200832
16 201631
17 201431
18 201431
19 202229
20 201929

About Dharmendra Kumar

Dharmendra Kumar is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Reproductive Medicine and Agronomy and Crop Science, having authored 170 papers that have together received 1.9k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (53 papers), Pluripotent Stem Cells Research (42 papers), Sperm and Testicular Function (40 papers), Animal Genetics and Reproduction (36 papers), CRISPR and Genetic Engineering (27 papers), Reproductive Physiology in Livestock (13 papers), Genetic and phenotypic traits in livestock (12 papers) and Renal and related cancers (10 papers). The work is most often cited by research in Reproductive Medicine (530 citations), Physiology (105 citations), Public Health, Environmental and Occupational Health (588 citations), Genetics (466 citations) and Agronomy and Crop Science (175 citations). Dharmendra Kumar has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Pradeep Kumar, James Gomes, Pankaj Yadav, Wilfried A. Kues, Taruna Anand, Monika Saini, Thirumala Rao Talluri, P. Palta, Manmohan Singh Chauhan and Inderjeet Singh. Their work appears in journals such as Animal Reproduction Science, Reproduction in Domestic Animals, Theriogenology, Reproduction Fertility and Development and Tissue and Cell.

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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