Raj Kumar Singh

389 papers receiving 8.6k citations

Raj Kumar Singh's Hit Papers

Animal models for type 1 and type 2 diabetes: advantages and limitations 2024 · 61 citations
610+1Years since publication204060

Peers

Raj Kumar Singh
Comparison fields: 5 of 194
  • Virology 1.2k
  • Infectious Diseases 2.1k
  • Agronomy and Crop Science 1.1k
  • Molecular Medicine 476
  • Animal Science and Zoology 778
Replace M.C.M. de Jong with:
M.C.M. de Jong Netherlands
Qi Jin China
Ying Zhang China
Giorgio Palù Italy
Mark A. Miller United States
Genhong Cheng United States
Ming Liao China
Ruchi Tiwari India
Johan Neyts Belgium
Yashpal Singh Malik India
Raj Kumar Singh relative to M.C.M. de Jong Netherlands M.C.M. de Jong's profile →
Citations per field
00.5×4.2×
M.C.M. de Jong · 1×
Citations per year

Countries citing papers authored by Raj Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Raj Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Raj 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 Raj Kumar Singh Line = papers co-authored together Raj 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 410 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005401
2 2020344
3 2019192
4 2012192
5 2006168
6 2009147
7 1996134
8 2010133
9 2015127
10 2017126
11 2020111
12 2019111
13 2010101
14 201799
15 200697
16 202192
17 201891
18 201787
19 201487
20 200486

About Raj Kumar Singh

Raj Kumar Singh is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Agronomy and Crop Science and Animal Science and Zoology, having authored 410 papers that have together received 9.0k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (54 papers), Animal Disease Management and Epidemiology (53 papers), Virology and Viral Diseases (42 papers), Poxvirus research and outbreaks (35 papers), Viral Infections and Vectors (34 papers), Vector-Borne Animal Diseases (32 papers), Herpesvirus Infections and Treatments (27 papers) and Virus-based gene therapy research (24 papers). The work is most often cited by research in Virology (1.2k citations), Infectious Diseases (2.1k citations), Agronomy and Crop Science (1.1k citations), Molecular Medicine (476 citations) and Animal Science and Zoology (778 citations). Raj Kumar Singh has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include V. Bhanuprakash, Madhusudan Hosamani, Kuldeep Dhama, V. Balamurugan, Yashpal Singh Malik, Ruchi Tiwari, Kumaragurubaran Karthik, Gnanavel Venkatesan, Arnab Sen and Ashok Munjal. Their work appears in journals such as Veterinary Quarterly, Transboundary and Emerging Diseases, Archives of Virology, Infection Genetics and Evolution and Frontiers in Microbiology.

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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