Amit Kumar

67 papers receiving 636 citations

Peers

Amit Kumar
Comparison fields: 5 of 102
  • Virology 262
  • Microbiology 44
  • Epidemiology 198
  • Endocrinology 30
  • Infectious Diseases 95
Replace Hualei Wang with:
Hualei Wang China
Viskam Wijewardana Austria
Susie Muir United States
Karen Stamey United States
Federica Savini Italy
Juliana Felipetto Cargnelutti Brazil
Georgia D. Brellou Greece
Rahul Singh India
Hisatoshi Kaneko Japan
Silvia Preziuso Italy
Amit Kumar relative to Hualei Wang China Hualei Wang's profile →
Citations per field
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Hualei Wang · 1×
Citations per year

Countries citing papers authored by Amit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201562
2 201150
3 201239
4 201228
5 201727
6 201626
7 200925
8 200723
9 201619
10 201518
11 201418
12 201817
13 202317
14 201214
15 201813
16 201513
17
Contagious ecthyma of sheep and goats: A comprehensive review on epidemiology, immunity, diagnostics and control measures
201912
18 201912
19 202312
20 200711

About Amit Kumar

Amit Kumar is a scholar working on Virology, Epidemiology, Genetics, Infectious Diseases and Molecular Biology, having authored 77 papers that have together received 651 indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (30 papers), Virus-based gene therapy research (24 papers), Herpesvirus Infections and Treatments (21 papers), Bacteriophages and microbial interactions (12 papers), Microbial infections and disease research (8 papers), Animal Virus Infections Studies (7 papers), Streptococcal Infections and Treatments (5 papers) and Otolaryngology and Infectious Diseases (5 papers). The work is most often cited by research in Virology (262 citations), Microbiology (44 citations), Epidemiology (198 citations), Endocrinology (30 citations) and Infectious Diseases (95 citations). Amit Kumar has collaborated with scholars based in India, United States and China. Frequent co-authors include Gnanavel Venkatesan, V. Bhanuprakash, Sanjeev Narayanan, Revanaiah Yogisharadhya, Greg Peterson, Sathish Bhadravati Shivachandra, T. G. Nagaraja, Mitchell H. Grayson, Philip R. Hardwidge and Awadh Bihari Pandey. Their work appears in journals such as Archives of Virology, Gene, Journal of Veterinary Diagnostic Investigation, Veterinary Microbiology and Virus Genes.

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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