Dev Chandran

24 papers receiving 298 citations

Peers

Dev Chandran
Comparison fields: 5 of 36
  • Virology 92
  • Infectious Diseases 89
  • Agronomy and Crop Science 45
  • Microbiology 25
  • Epidemiology 118
Replace Zahra Bamouh with:
Zahra Bamouh Morocco
Mehdi Elharrak Morocco
Shyam Singh Dahiya India
B. Bauduin France
Murat Şevik Türkiye
P.P. Pastoret Belgium
Keshan Zhang China
Julius Chulu Taiwan
Orly Friedgut Israel
Karen Ebersohn South Africa
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Citations per field
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Citations per year

Countries citing papers authored by Dev Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Dev Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200740
2 201034
3 200833
4 200731
5 201425
6 201023
7 201020
8 200917
9 200914
10 201210
11
Assessment of critical parameters in blood processing for the bovine interferon-gamma ELISPOT assay to detect Mycobacterium bovis infected cattle in India.
20119
12 20119
13 20098
14 20158
15 20107
16 20057
17
Multi-antigen print immunoassay for seroepidemiological surveillance of bovine tuberculosis on Indian cattle farms.
20136
18 20124
19 20123
20 20143

About Dev Chandran

Dev Chandran is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Microbiology and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 318 indexed citations. Recurring topics across this work include Microbial infections and disease research (6 papers), Viral Infections and Immunology Research (5 papers), Mycobacterium research and diagnosis (5 papers), Tuberculosis Research and Epidemiology (4 papers), Animal Disease Management and Epidemiology (4 papers), Herpesvirus Infections and Treatments (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Virology (92 citations), Infectious Diseases (89 citations), Agronomy and Crop Science (45 citations), Microbiology (25 citations) and Epidemiology (118 citations). Dev Chandran has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include V.A. Srinivasan, Bernard Moss, Nagendrakumar B. Singanallur, Rajendra Lingala, Jerry R. Sisler, Kapil Maithal, N. Sridevi, Patricia L. Earl, M. Hema and Leigh Anne Eller. Their work appears in journals such as Vaccine, Clinical and Vaccine Immunology, Biologicals, Journal of Clinical Microbiology and Journal of Biosciences.

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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