C. Madhan Mohan

441 total citations
25 papers, 348 citations indexed

About

C. Madhan Mohan is a scholar working on Epidemiology, Animal Science and Zoology and Infectious Diseases. According to data from OpenAlex, C. Madhan Mohan has authored 25 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Animal Science and Zoology and 8 papers in Infectious Diseases. Recurrent topics in C. Madhan Mohan's work include Animal Virus Infections Studies (10 papers), Virology and Viral Diseases (8 papers) and Leptospirosis research and findings (5 papers). C. Madhan Mohan is often cited by papers focused on Animal Virus Infections Studies (10 papers), Virology and Viral Diseases (8 papers) and Leptospirosis research and findings (5 papers). C. Madhan Mohan collaborates with scholars based in India and United States. C. Madhan Mohan's co-authors include Sohini Dey, K. Nachimuthu, P. Ramadass, Vikram N. Vakharia, Nitin Machindra Kamble, Chitra Upadhyay, A. Rai, R. S. Kataria, R. Saravanan and Shishir Kumar Gupta and has published in prestigious journals such as Vaccine, Veterinary Microbiology and Veterinary Record.

In The Last Decade

C. Madhan Mohan

25 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Madhan Mohan India 11 134 133 117 106 56 25 348
K. Nachimuthu India 11 184 1.4× 185 1.4× 168 1.4× 97 0.9× 54 1.0× 57 461
M. R. Gajendragad India 13 204 1.5× 174 1.3× 77 0.7× 101 1.0× 38 0.7× 31 490
ERNST NILSSON Canada 7 82 0.6× 92 0.7× 70 0.6× 35 0.3× 45 0.8× 15 316
Meritxell Simon-Grifé Spain 10 231 1.7× 140 1.1× 110 0.9× 82 0.8× 17 0.3× 14 406
Jean‐Luc Pingret France 12 60 0.4× 249 1.9× 161 1.4× 135 1.3× 42 0.8× 13 605
Hakan Bulut Türkiye 12 73 0.5× 166 1.2× 58 0.5× 42 0.4× 19 0.3× 37 346
Alaa A. El-Kholy Egypt 10 74 0.6× 79 0.6× 48 0.4× 36 0.3× 52 0.9× 26 337
R. G. Hess Germany 9 85 0.6× 141 1.1× 113 1.0× 75 0.7× 29 0.5× 21 324
Haileleul Negussie Ethiopia 13 148 1.1× 76 0.6× 28 0.2× 48 0.5× 14 0.3× 37 388
Jürgen Teuffert Germany 11 148 1.1× 77 0.6× 33 0.3× 62 0.6× 10 0.2× 29 380

Countries citing papers authored by C. Madhan Mohan

Since Specialization
Citations

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

Fields of papers citing papers by C. Madhan Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Madhan Mohan. 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 C. Madhan Mohan. The network helps show where C. Madhan Mohan may publish in the future.

Co-authorship network of co-authors of C. Madhan Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of C. Madhan Mohan. A scholar is included among the top collaborators of C. Madhan Mohan 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 C. Madhan Mohan. C. Madhan Mohan 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.
Mohan, C. Madhan, et al.. (2023). Image steganography using LSB embedding and edge adaptive approach. AIP conference proceedings. 1 indexed citations
2.
Deb, Rajib, et al.. (2015). Development and evaluation of a Salmonella typhimurium flagellin based chimeric DNA vaccine against infectious bursal disease of poultry. Research in Veterinary Science. 102. 7–14. 10 indexed citations
3.
4.
Kamble, Nitin Machindra, et al.. (2015). Protective effects of recombinant glycoprotein D based prime boost approach against duck enteritis virus in mice model. Microbial Pathogenesis. 88. 78–86. 9 indexed citations
5.
Mohan, C. Madhan, et al.. (2015). Antigenic validation of recombinant hemagglutinin-neuraminidase protein of Newcastle disease virus expressed in Saccharomyces cerevisiae. Acta Virologica. 59(3). 240–246. 10 indexed citations
6.
Kamble, Nitin Machindra, et al.. (2014). Adaptation and growth kinetics study of an Indian isolate of virulent duck enteritis virus in Vero cells. Microbial Pathogenesis. 78. 14–19. 13 indexed citations
7.
Kamble, Nitin Machindra, et al.. (2014). Recombinant nucleocapsid protein based single serum dilution ELISA for the detection of antibodies to infectious bronchitis virus in poultry. Journal of Virological Methods. 209. 1–6. 20 indexed citations
8.
Gupta, Shishir Kumar, et al.. (2013). Recombinant flagellin and its cross-talk with lipopolysaccharide – Effect on pooled chicken peripheral blood mononuclear cells. Research in Veterinary Science. 95(3). 930–935. 22 indexed citations
9.
Dey, Sohini, et al.. (2012). Recombinant UL30 antigen-based single serum dilution ELISA for detection of duck viral enteritis. Journal of Virological Methods. 185(2). 234–238. 4 indexed citations
10.
Dey, Sohini, et al.. (2011). Phylogenetic analysis of σB encoding gene of indigenous avian reovirus isolate. Indian Journal of Comparative Microbiology Immunology and Infectious Diseases. 32. 12–14. 1 indexed citations
11.
Singh, Niraj, et al.. (2010). Evaluation of four enzyme linked immunosorbent assays for the detection of antibodies to infectious bursal disease in chickens. Journal of Virological Methods. 165(2). 277–282. 19 indexed citations
12.
Dey, Sohini, et al.. (2009). Formation of subviral particles of the capsid protein VP2 of infectious bursal disease virus and its application in serological diagnosis. Journal of Virological Methods. 157(1). 84–89. 28 indexed citations
13.
Dey, Sohini, C. Madhan Mohan, P. Ramadass, & K. Nachimuthu. (2008). Diagnosis of leptospirosis by recombinant antigen based single serum dilution ELISA.. PubMed. 128(2). 172–7. 28 indexed citations
14.
Dey, Sohini, C. Madhan Mohan, P. Ramadass, & K. Nachimuthu. (2007). Phylogenetic Analysis of LipL32 Gene Sequence of Different Pathogenic Serovars of Leptospira. Veterinary Research Communications. 31(5). 509–511. 1 indexed citations
15.
Mohan, C. Madhan, Sohini Dey, A. Rai, & R. S. Kataria. (2006). Recombinant haemagglutinin neuraminidase antigen-based single serum dilution ELISA for rapid serological profiling of Newcastle disease virus. Journal of Virological Methods. 138(1-2). 117–122. 25 indexed citations
16.
Dey, Sohini, C. Madhan Mohan, P. Ramadass, & K. Nachimuthu. (2006). Recombinant Antigen-based Latex Agglutination Test for Rapid Serodiagnosis of Leptospirosis. Veterinary Research Communications. 31(1). 9–15. 23 indexed citations
17.
Mohan, C. Madhan, et al.. (2006). Adaptation of a Velogenic Newcastle Disease Virus to Vero Cells: Assessing the Molecular Changes Before and After Adaptation. Veterinary Research Communications. 31(3). 371–383. 6 indexed citations
18.
Mohan, C. Madhan, Sohini Dey, & K. Kumanan. (2005). Molecular Changes of the Fusion Protein Gene of Chicken Embryo Fibroblast–Adapted Velogenic Newcastle Disease Virus: Effect on Its Pathogenicity. Avian Diseases. 49(1). 56–62. 11 indexed citations
19.
Dey, Sohini, et al.. (2004). Recombinant LipL32 antigen-based single serum dilution ELISA for detection of canine leptospirosis. Veterinary Microbiology. 103(1-2). 99–106. 66 indexed citations
20.
Nk, Ganguly, et al.. (1979). Isolation of antigen fraction responsible for delayed hypersensitivity in amoebiasis.. PubMed. 70. 17–21. 1 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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