Sunil Kumar Singh

27 papers receiving 272 citations

Peers

Sunil Kumar Singh
Comparison fields: 5 of 87
  • Health Informatics 22
  • Virology 18
  • Pathology and Forensic Medicine 49
  • Dermatology 17
  • Computational Theory and Mathematics 27
Replace Sahil Jain with:
Sahil Jain India
Maciej Sobczyński Poland
Ronen Borenstein United States
M. Girija Rani India
Xiaoen He China
Andy Fulmer United States
Chun‐Che Liao Taiwan
Adrián Rodríguez-Carlos Mexico
Neha Pandey India
Sunil Kumar Singh relative to Sahil Jain India Sahil Jain's profile →
Citations per field
00.5×10×13.5×
Sahil Jain · 1×
Citations per year

Countries citing papers authored by Sunil Kumar Singh

Since Specialization
Citations

This map shows the geographic impact of Sunil Kumar Singh'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 Singh 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 Singh more than expected).

Fields of papers citing papers by Sunil Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202388
2 199733
3 199231
4 202124
5 201415
6 201914
7
Management of gram pod borer, Helicoverpa armigera (Hubner) by intercropping and monitoring through pheromone traps in chickpea.
200912
8 199612
9 20229
10 20238
11 20197
12 20167
13 20224
14 20244
15 20253
16 20223
17 20223
18 20123
19
Response of black gram (Phaseolus mungo) to sulphur on acid Alfisol of Bihar plateau
19982
20 20222

About Sunil Kumar Singh

Sunil Kumar Singh is a scholar working on Pathology and Forensic Medicine, Surgery, Molecular Biology, General Health Professions and Epidemiology, having authored 33 papers that have together received 295 indexed citations. Recurring topics across this work include Agricultural Economics and Practices (2 papers), Herpesvirus Infections and Treatments (2 papers), Agronomic Practices and Intercropping Systems (2 papers), Poxvirus research and outbreaks (2 papers), Vitamin D Research Studies (2 papers), Bacillus and Francisella bacterial research (2 papers), Parasitic infections in humans and animals (2 papers) and Algebraic and Geometric Analysis (2 papers). The work is most often cited by research in Health Informatics (22 citations), Virology (18 citations), Pathology and Forensic Medicine (49 citations), Dermatology (17 citations) and Computational Theory and Mathematics (27 citations). Sunil Kumar Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Satish Gupta, Shruti Singh, Anil Chandra, Chhitij Srivastava, Bradley N. Lemke, G. Chandra Sekhar, Rajesh Kumar, Bal Krishna Ojha, Tushar Patil and B. Sinha. Their work appears in journals such as Pediatric Neurosurgery, HIV Medicine, Journal of Cataract & Refractive Surgery, Ophthalmic Plastic and Reconstructive Surgery and Journal of Pseudo-Differential Operators and Applications.

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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