Dev Chandran

24 papers receiving 306 citations

Peers

Dev Chandran
Comparison fields: 5 of 35
  • Virology 92
  • Infectious Diseases 87
  • Agronomy and Crop Science 46
  • Microbiology 25
  • Epidemiology 112
Replace Zahra Bamouh with:
Zahra Bamouh Morocco
Shyam Singh Dahiya India
Mehdi Elharrak Morocco
Murat Şevik Türkiye
Julius Chulu Taiwan
Keshan Zhang China
Karen Ebersohn South Africa
Samir Kumar Rana India
Jean-Christophe Audonnet France
Orly Friedgut Israel
Dev Chandran relative to Zahra Bamouh Morocco Zahra Bamouh's profile →
Citations per field
00.5×6.7×
Zahra Bamouh · 1×
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 201033
3 200833
4 200732
5 201427
6 201024
7 201022
8 200917
9 200915
10 201210
11 20119
12
Assessment of critical parameters in blood processing for the bovine interferon-gamma ELISPOT assay to detect Mycobacterium bovis infected cattle in India.
20119
13 20098
14 20108
15 20158
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 325 indexed citations. Recurring topics across this work include Microbial infections and disease research (6 papers), Mycobacterium research and diagnosis (5 papers), Viral Infections and Immunology Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Herpesvirus Infections and Treatments (4 papers), Animal Disease Management and Epidemiology (4 papers), Tuberculosis Research and Epidemiology (4 papers) and Virology and Viral Diseases (3 papers). The work is most often cited by research in Virology (92 citations), Infectious Diseases (87 citations), Agronomy and Crop Science (46 citations), Microbiology (25 citations) and Epidemiology (112 citations). Dev Chandran has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include V.A. Srinivasan, Bernard Moss, Rajendra Lingala, Kapil Maithal, Jerry R. Sisler, N. Sridevi, Nagendrakumar B. Singanallur, M. Hema, Jennifer Vogt and Patricia L. Earl. Their work appears in journals such as Vaccine, Clinical and Vaccine Immunology, Research in Veterinary Science, Protein Expression and Purification and Journal of Clinical 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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