Sanjeev Kumar

114 papers receiving 1.1k citations

Peers

Sanjeev Kumar
Comparison fields: 5 of 77
  • Horticulture 35
  • Animal Science and Zoology 184
  • Plant Science 652
  • Genetics 235
  • Biotechnology 63
Replace Luciano Vilela Paiva with:
Luciano Vilela Paiva Brazil
Rodrigo Barros Rocha Brazil
Guoan Zhou China
Xinyu Wang China
Shiqie Bai China
Xiaoyan Wang China
Susheel Kumar Sharma India
Edílson Paiva Brazil
B. G. Cottyn Belgium
Sanjeev Kumar relative to Luciano Vilela Paiva Brazil Luciano Vilela Paiva's profile →
Citations per field
00.5×2×3.4×
Luciano Vilela Paiva · 1×
Citations per year

Countries citing papers authored by Sanjeev Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201388
2 201255
3 201141
4 200340
5 201639
6 200636
7 201535
8
Functional properties of jack fruit seed flour
199133
9 200832
10 202027
11 202225
12 201625
13 201722
14 201222
15 201119
16 201119
17 202119
18 200518
19 199718
20 202017

About Sanjeev Kumar

Sanjeev Kumar is a scholar working on Plant Science, Animal Science and Zoology, Genetics, Molecular Biology and Surgery, having authored 125 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (40 papers), Livestock and Poultry Management (37 papers), Sugarcane Cultivation and Processing (21 papers), Genetic and phenotypic traits in livestock (19 papers), Plant tissue culture and regeneration (16 papers), Natural Products and Biological Research (12 papers), Silkworms and Sericulture Research (11 papers) and Advances in Cucurbitaceae Research (9 papers). The work is most often cited by research in Horticulture (35 citations), Animal Science and Zoology (184 citations), Plant Science (652 citations), Genetics (235 citations) and Biotechnology (63 citations). Sanjeev Kumar has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Major Singh, Abdul Rahim, Sushma Rathaur, Ananta Kumar Das, R. K. Singh, Mohammad Suhail Khan, Deepak Pental, Pradeep Kumar Burma, Mathura Rai and Ajay Singh. Their work appears in journals such as Journal of Applied Animal Research, British Poultry Science, Scientia Horticulturae, Physiology and Molecular Biology of Plants and The Indian Journal of Animal Sciences.

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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