Dev Chandran

408 total citations
24 papers, 318 citations indexed

About

Dev Chandran is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Dev Chandran has authored 24 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 8 papers in Infectious Diseases and 7 papers in Molecular Biology. Recurrent topics in Dev Chandran's work include Microbial infections and disease research (6 papers), Mycobacterium research and diagnosis (5 papers) and Viral Infections and Immunology Research (5 papers). Dev Chandran is often cited by papers focused on Microbial infections and disease research (6 papers), Mycobacterium research and diagnosis (5 papers) and Viral Infections and Immunology Research (5 papers). Dev Chandran collaborates with scholars based in India, United States and United Kingdom. Dev Chandran's co-authors include V.A. Srinivasan, Bernard Moss, Rajendra Lingala, Nagendrakumar B. Singanallur, Kapil Maithal, Jerry R. Sisler, N. Sridevi, Harriet L. Robinson, Patricia L. Earl and Jennifer Vogt and has published in prestigious journals such as Journal of Clinical Microbiology, Virology and Vaccine.

In The Last Decade

Dev Chandran

24 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dev Chandran India 10 118 115 92 89 48 24 318
Keshan Zhang China 12 107 0.9× 122 1.1× 57 0.6× 110 1.2× 77 1.6× 48 412
Akira Morooka Japan 9 111 0.9× 171 1.5× 171 1.9× 158 1.8× 145 3.0× 11 546
Danilo Bretas de Oliveira Brazil 12 119 1.0× 99 0.9× 96 1.0× 105 1.2× 36 0.8× 32 450
Eunice C. Chen United States 9 181 1.5× 135 1.2× 49 0.5× 211 2.4× 145 3.0× 14 535
David Arranz-Solís United States 16 215 1.8× 51 0.4× 47 0.5× 49 0.6× 32 0.7× 29 529
Yuezhi Lin China 14 177 1.5× 114 1.0× 150 1.6× 85 1.0× 154 3.2× 50 463
Barry Ellefsen United States 14 100 0.8× 132 1.1× 42 0.5× 203 2.3× 36 0.8× 16 479
Michaela Alex Germany 10 90 0.8× 68 0.6× 73 0.8× 144 1.6× 98 2.0× 16 323
Long Huw Lee Taiwan 13 172 1.5× 66 0.6× 89 1.0× 282 3.2× 167 3.5× 29 526
Nicola Douglass South Africa 14 258 2.2× 93 0.8× 341 3.7× 134 1.5× 88 1.8× 35 521

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-authorship network of co-authors of Dev Chandran

This figure shows the co-authorship network connecting the top 25 collaborators of Dev Chandran. A scholar is included among the top collaborators of Dev Chandran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dev Chandran. Dev Chandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Das, Dipankar, et al.. (2015). Efficient production of Tymovirus like particles displaying immunodominant epitopes of Japanese Encephalitis Virus envelope protein. Protein Expression and Purification. 113. 35–43. 8 indexed citations
2.
Sridevi, N., et al.. (2014). Development of anti-bovine IgA single chain variable fragment and its application in diagnosis of foot-and-mouth disease. European Journal of Microbiology and Immunology. 4(1). 34–44. 3 indexed citations
3.
Sridevi, N., et al.. (2014). Production of recombinant antibodies using bacteriophages. European Journal of Microbiology and Immunology. 4(2). 91–98. 25 indexed citations
4.
Bronsvoort, Mark, et al.. (2014). Evaluation of single intra-dermal test and commercial ELISA for diagnosis of paratuberculosis in Indian cattle population. The Indian Journal of Animal Sciences. 84(6). 1 indexed citations
5.
Das, Dipankar, et al.. (2013). Antemortem and postmortem examinations of the cattle calf naturally infected withMycobacterium aviumsubsp.paratuberculosis. European Journal of Microbiology and Immunology. 3(4). 241–251. 3 indexed citations
6.
Mangamoori, Lakshmi Narasu, et al.. (2012). Recombinant haemagglutinin protein of highly pathogenic avian influenza A (H5N1) virus expressed in Pichia pastoris elicits a neutralizing antibody response in mice. Journal of Virological Methods. 187(1). 20–25. 10 indexed citations
7.
Chandran, Dev, et al.. (2012). Use of ESAT-6-CFP-10 fusion protein in the bovine interferon-gamma ELISPOT assay for diagnosis of Mycobacterium bovis infection in cattle. Journal of Microbiological Methods. 90(3). 298–304. 4 indexed citations
8.
9.
Chandran, Dev, et al.. (2010). Recombinant mid gut antigen (Bm95) as a vaccine against Indian Rhiphicephalus haemaphysaloides in Bos indicus cattle. Research in Veterinary Science. 90(2). 262–268. 7 indexed citations
10.
Chandran, Dev, et al.. (2010). MVA recombinants expressing the fusion and hemagglutinin genes of PPRV protects goats against virulent challenge. Indian Journal of Microbiology. 50(3). 266–274. 20 indexed citations
11.
12.
Chandran, Dev, et al.. (2010). Recombinant Diabody-Based Immunocapture Enzyme-Linked Immunosorbent Assay for Quantification of Rabies Virus Glycoprotein. Clinical and Vaccine Immunology. 17(8). 1261–1268. 23 indexed citations
13.
Hema, M., Dev Chandran, Nagendrakumar B. Singanallur, M. Madhanmohan, & V.A. Srinivasan. (2009). Construction of an infectious cDNA clone of foot-and-mouth disease virus type O1BFS 1860 and its use in the preparation of candidate vaccine. Journal of Biosciences. 34(1). 45–58. 8 indexed citations
14.
15.
Kumar, Amit, et al.. (2009). Immune responses against recombinant tick antigen, Bm95, for the control of Rhipicephalus (Boophilus) microplus ticks in cattle. Veterinary Parasitology. 165(1-2). 119–124. 14 indexed citations
16.
Sisler, Jerry R., et al.. (2008). Vaccinia virus entry/fusion complex subunit A28 is a target of neutralizing and protective antibodies. Virology. 380(2). 394–401. 33 indexed citations
17.
Wyatt, Linda S., Patricia L. Earl, Jennifer Vogt, et al.. (2007). Correlation of immunogenicities and in vitro expression levels of recombinant modified vaccinia virus Ankara HIV vaccines. Vaccine. 26(4). 486–493. 40 indexed citations
18.
Hema, M., Nagendrakumar B. Singanallur, Dev Chandran, et al.. (2007). Chimeric tymovirus-like particles displaying foot-and-mouth disease virus non-structural protein epitopes and its use for detection of FMDV-NSP antibodies. Vaccine. 25(25). 4784–4794. 31 indexed citations
19.
Cruz‐Cano, Raul, Dev Chandran, & Ming‐Ying Leung. (2007). Computational Prediction of Replication Origins in Herpesviruses. 89. 283–290. 2 indexed citations
20.
Singanallur, Nagendrakumar B., et al.. (2005). Molecular Characterization of Foot-and-Mouth Disease Virus Type C of Indian Origin. Journal of Clinical Microbiology. 43(2). 966–969. 7 indexed citations

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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