Sunil Kumar

2.8k citations
79 papers · 2.0k · h-index 22

Impact in

Papers in

    • Insect Pest Control Strategies 6
    • Rice Cultivation and Yield Improvement 6
    • Genetics and Plant Breeding 4
    • Congenital heart defects research 6
    • Angiogenesis and VEGF in Cancer 6

Sunil Kumar

72 papers receiving 2.0k citations

Peers

Sunil Kumar
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 378
  • Biochemistry 121
  • Molecular Biology 936
  • Food Science 236
  • Cell Biology 189
Replace Bin Zheng with:
Bin Zheng China
Kwang‐Sik Lee South Korea
Zhenming Yu China
Xiaoming Yang China
Hua Zhao China
Jian Ding China
Lei Ma China
Seungkwon You South Korea
Hideyuki Goto Japan
Gang Zhao China
Sunil Kumar relative to Bin Zheng China Bin Zheng's profile →
Citations per field
00.5×1.5×2.5×
Bin Zheng · 1×
Citations per year

Countries citing papers authored by Sunil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017245
2 2007203
3 2019172
4 2005137
5 2020114
6 2009112
7 2017109
8 202084
9 201580
10 202274
11 201072
12 200662
13 200859
14 202040
15 202037
16 202135
17 200535
18 201033
19 201426
20 201726

About Sunil Kumar

Sunil Kumar is a scholar working on Plant Science, Molecular Biology, Cellular and Molecular Neuroscience, Soil Science and Ecology, Evolution, Behavior and Systematics, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (9 papers), Agricultural Science and Fertilization (8 papers), Congenital heart defects research (6 papers), Insect Pest Control Strategies (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Rice Cultivation and Yield Improvement (6 papers), Agricultural Economics and Practices (4 papers) and Genetics and Plant Breeding (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (378 citations), Biochemistry (121 citations), Molecular Biology (936 citations), Food Science (236 citations) and Cell Biology (189 citations). Sunil Kumar has collaborated with scholars based in India, United States and China. Frequent co-authors include Nitin Kumar, Arun Kumar Attkan, Valery Krasnoperov, Parkash S. Gill, Anil Panghal, Vijay Singh, Nachiket Kotwaliwale, Debabandya Mohapatra, Eric J. Ley and Jeffrey S. Scehnet. Their work appears in journals such as Journal of Food Process Engineering, Blood, Investigative Ophthalmology & Visual Science, Comprehensive Reviews in Food Science and Food Safety and Journal of Food Processing and Preservation.

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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