Sunil Kumar

57 papers receiving 435 citations

Peers

Sunil Kumar
Comparison fields: 5 of 88
  • Otorhinolaryngology 85
  • Cancer Research 79
  • Horticulture 3
  • Molecular Biology 162
  • Radiology, Nuclear Medicine and Imaging 49
Replace Hai Liao with:
Hai Liao China
Stefano Monteghirfo Italy
María Jimena Rodriguez Spain
Nasta Tanić Serbia
Lipin Liu China
John G. Muzic United States
C. A. Chadwick United Kingdom
Alexandra M. Jones Australia
Honglei Tu China
Guofei Feng China
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Citations per field
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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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202245
2 201837
3 201834
4 202331
5 202028
6 202426
7 202322
8 202222
9 202418
10 201516
11 202313
12 202212
13 201912
14 20239
15 20099
16 20128
17 20238
18
Characterization of succinic semialdehyde dehydrogenase from Aspergillus niger.
20157
19 20237
20 20186

About Sunil Kumar

Sunil Kumar is a scholar working on Molecular Biology, Plant Science, Cancer Research, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 74 papers that have together received 443 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (13 papers), Protein purification and stability (10 papers), Head and Neck Cancer Studies (9 papers), Agricultural Science and Fertilization (8 papers), Molecular Biology Techniques and Applications (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Rice Cultivation and Yield Improvement (6 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Otorhinolaryngology (85 citations), Cancer Research (79 citations), Horticulture (3 citations), Molecular Biology (162 citations) and Radiology, Nuclear Medicine and Imaging (49 citations). Sunil Kumar has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Anurag S. Rathore, Narayan S. Punekar, Gaorav P. Gupta, Charlotte Kuperwasser, Q. Brent Chen, Stephen P. Naber, Catherine Del Vecchio Fitz, Daniel Lindsay, Barry M. Berger and Sourya Acharya. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of the American Society for Mass Spectrometry, Current Medicinal Chemistry, Analytical Chemistry and International Journal of Pediatric Otorhinolaryngology.

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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