Pradeep Kumar

1.1k citations
71 papers · 880 · h-index 18

Impact in

Papers in

    • Sperm and Testicular Function 45
    • Hypothalamic control of reproductive hormones 1
    • Animal Genetics and Reproduction 8

Pradeep Kumar

62 papers receiving 851 citations

Peers

Pradeep Kumar
Comparison fields: 5 of 65
  • Reproductive Medicine 577
  • Agronomy and Crop Science 31
  • Genetics 74
  • Molecular Biology 100
  • Oncology 34
Replace Mahnaz Ekhlasi‐Hundrieser with:
Mahnaz Ekhlasi‐Hundrieser Germany
Charlotte Dubé Canada
Wuzi Dong China
Baoyu Jia China
Bowen Niu China
Guangxin Yao China
Susan D. Ferguson United States
Mehri Azadbakht Iran
Furong Tang China
Usha Natraj India
Pradeep Kumar relative to Mahnaz Ekhlasi‐Hundrieser Germany Mahnaz Ekhlasi‐Hundrieser's profile →
Citations per field
00.5×2×4×6×8.5×
Mahnaz Ekhlasi‐Hundrieser · 1×
Citations per year

Countries citing papers authored by Pradeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198677
2 201577
3 201471
4 200740
5 201236
6 201434
7 202134
8 201433
9 201633
10 201928
11 201627
12 201926
13 202026
14 201723
15 201923
16 201622
17 201922
18 202220
19 201316
20 201915

About Pradeep Kumar

Pradeep Kumar is a scholar working on Reproductive Medicine, Genetics, Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 71 papers that have together received 880 indexed citations. Recurring topics across this work include Sperm and Testicular Function (45 papers), Animal Genetics and Reproduction (8 papers), Reproductive Physiology in Livestock (4 papers), Reproductive Biology and Fertility (4 papers), Pluripotent Stem Cells Research (2 papers), Hypothalamic control of reproductive hormones (1 paper), Coenzyme Q10 studies and effects (1 paper) and Systems Engineering Methodologies and Applications (1 paper). The work is most often cited by research in Reproductive Medicine (577 citations), Agronomy and Crop Science (31 citations), Genetics (74 citations), Molecular Biology (100 citations) and Oncology (34 citations). Pradeep Kumar has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Dharmendra Kumar, Pankaj Yadav, Monika Saini, Andonissamy Jerome, Rakesh Kumar Sharma, Barbara Z. Zmudzka, Fabio Cobianchi, Debomita Sengupta, Samuel H. Wilson and Jacek Skowroński. Their work appears in journals such as Animal Reproduction Science, Andrologia, Reproduction in Domestic Animals, Tissue and Cell and Reproduction Fertility and Development.

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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