Devendra Pathak

691 citations
56 papers · 497 · h-index 13

Impact in

Papers in

    • Reproductive Physiology in Livestock 12
    • Milk Quality and Mastitis in Dairy Cows 5
    • Animal Genetics and Reproduction 6
    • Estrogen and related hormone effects 5
    • Genetic and phenotypic traits in livestock 4

Devendra Pathak

45 papers receiving 486 citations

Peers

Devendra Pathak
Comparison fields: 5 of 100
  • Nephrology 68
  • Biochemistry 32
  • Reproductive Medicine 43
  • Molecular Medicine 15
  • Health, Toxicology and Mutagenesis 38
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Citations per year

Countries citing papers authored by Devendra Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Devendra Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202292
2 201856
3 201634
4 202129
5 201526
6 202219
7 202018
8 202017
9 201616
10 202114
11 201213
12 201113
13 202112
14 202112
15 201611
16 202010
17 201810
18 20169
19
Dopamine agonists for reducing depression associated with hyperprolactinemia.
19869
20 20247

About Devendra Pathak

Devendra Pathak is a scholar working on Agronomy and Crop Science, Genetics, Surgery, Reproductive Medicine and Molecular Biology, having authored 56 papers that have together received 497 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (12 papers), Sperm and Testicular Function (8 papers), Animal Genetics and Reproduction (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Estrogen and related hormone effects (5 papers), Acute Kidney Injury Research (5 papers), Reproductive Biology and Fertility (5 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Nephrology (68 citations), Biochemistry (32 citations), Reproductive Medicine (43 citations), Molecular Medicine (15 citations) and Health, Toxicology and Mutagenesis (38 citations). Devendra Pathak has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Amrit Pal Singh, Tajpreet Kaur, Mukesh Kumar Gupta, Nirmal Singh, Preet Mohinder Singh Bedi, Neelam Bansal, Balbir Singh, Harpal S. Buttar, Pramila Umaraw and Ubedullah Kaka. Their work appears in journals such as Drug and Chemical Toxicology, The Indian Journal of Animal Sciences, Toxicology and Industrial Health, Biotechnology and Bioengineering and International Journal of Biological Macromolecules.

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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