Harshit Kumar

893 citations
48 papers · 681 · h-index 15

Impact in

  • Genetics top 5%
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics
    • Effects of Environmental Stressors on Livestock

Papers in

Harshit Kumar

46 papers receiving 676 citations

Peers

Harshit Kumar
Comparison fields: 5 of 51
  • Genetics 531
  • Animal Science and Zoology 25
  • Agronomy and Crop Science 17
  • Health Informatics 3
  • Endocrine and Autonomic Systems 7
Replace Kaifeng Wu with:
Kaifeng Wu China
Troy N. Rowan United States
Erli Li China
Eric K. Bhattarai United States
Gert Sclep United Kingdom
Quratulain Hanif China
Florence Plisson‐Petit France
Sergio Iván Román-Ponce Mexico
Matthew Charles McClure United States
Rasoul Vaez Torshizi Iran
Harshit Kumar relative to Kaifeng Wu China Kaifeng Wu's profile →
Citations per field
00.5×2×4×5.4×
Kaifeng Wu · 1×
Citations per year

Countries citing papers authored by Harshit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Harshit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020101
2 202173
3 202046
4 202238
5 202030
6 201929
7 202229
8 202128
9 201922
10 202222
11 202219
12 202218
13 202317
14 201916
15 201815
16 202115
17 202315
18 202114
19 202212
20 202212

About Harshit Kumar

Harshit Kumar is a scholar working on Genetics, Agronomy and Crop Science, Molecular Biology, Endocrine and Autonomic Systems and Parasitology, having authored 48 papers that have together received 681 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (29 papers), Genomics and Phylogenetic Studies (4 papers), Identification and Quantification in Food (3 papers), Epigenetics and DNA Methylation (2 papers), Reproductive Physiology in Livestock (2 papers), Livestock Farming and Management (1 paper), Insect Resistance and Genetics (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Genetics (531 citations), Animal Science and Zoology (25 citations), Agronomy and Crop Science (17 citations), Health Informatics (3 citations) and Endocrine and Autonomic Systems (7 citations). Harshit Kumar has collaborated with scholars based in India, Italy and China. Frequent co-authors include Manjit Panigrahi, Bharat Bhushan, Triveni Dutt, K.A. Saravanan, Bishnu Prasad Mishra, Subhashree Parida, Divya Rajawat, Sonali Sonejita Nayak, Gyanendra Kumar Gaur and Ranvir Singh. Their work appears in journals such as Gene, Tropical Animal Health and Production, OMICS A Journal of Integrative Biology, Livestock Science and Animal Biotechnology.

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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