Mohan Natesan

1.3k total citations · 1 hit paper
18 papers, 976 citations indexed

About

Mohan Natesan is a scholar working on Epidemiology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Mohan Natesan has authored 18 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Mohan Natesan's work include Burkholderia infections and melioidosis (6 papers), Force Microscopy Techniques and Applications (3 papers) and Viral Infections and Outbreaks Research (3 papers). Mohan Natesan is often cited by papers focused on Burkholderia infections and melioidosis (6 papers), Force Microscopy Techniques and Applications (3 papers) and Viral Infections and Outbreaks Research (3 papers). Mohan Natesan collaborates with scholars based in United States, Sri Lanka and Australia. Mohan Natesan's co-authors include Gil U. Lee, Steven Metzger, David R. Baselt, Richard J. Colton, Paul E. Sheehan, Robert G. Ulrich, Hans Reiser, Z Razi-Wolf, Yves F. Dufrêne and James Schneider and has published in prestigious journals such as The Journal of Immunology, Analytical Chemistry and Analytical Biochemistry.

In The Last Decade

Mohan Natesan

18 papers receiving 945 citations

Hit Papers

A biosensor based on magnetoresistance technology 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohan Natesan United States 11 536 287 286 192 94 18 976
Giovanni Rizzi Denmark 19 334 0.6× 326 1.1× 158 0.6× 156 0.8× 37 0.4× 44 771
Gavin M. King United States 23 361 0.7× 460 1.6× 422 1.5× 217 1.1× 37 0.4× 66 1.2k
Sebastian J. Osterfeld United States 12 916 1.7× 580 2.0× 280 1.0× 272 1.4× 45 0.5× 16 1.3k
Kevin Yehl United States 17 493 0.9× 799 2.8× 230 0.8× 64 0.3× 69 0.7× 26 1.6k
Edward S. Parsons United Kingdom 10 320 0.6× 347 1.2× 73 0.3× 112 0.6× 46 0.5× 13 845
Dorota I. Rożkiewicz Poland 23 437 0.8× 421 1.5× 153 0.5× 246 1.3× 255 2.7× 46 1.4k
Weicheng Qiu China 15 219 0.4× 172 0.6× 200 0.7× 357 1.9× 143 1.5× 56 900
Marzhan Sypabekova Kazakhstan 17 458 0.9× 302 1.1× 140 0.5× 624 3.3× 82 0.9× 38 1.2k
Xian Hao China 17 283 0.5× 426 1.5× 231 0.8× 121 0.6× 29 0.3× 32 1.1k
Pei‐Yu Chiou United States 24 1.3k 2.4× 330 1.1× 237 0.8× 657 3.4× 29 0.3× 55 1.9k

Countries citing papers authored by Mohan Natesan

Since Specialization
Citations

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

Fields of papers citing papers by Mohan Natesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohan Natesan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohan Natesan. A scholar is included among the top collaborators of Mohan Natesan 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 Mohan Natesan. Mohan Natesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Saikh, Kamal U., et al.. (2020). An increase in p62/NBR1 levels in melioidosis patients of Sri Lanka exhibit a characteristic of potential host biomarker. Journal of Medical Microbiology. 69(10). 1240–1248. 1 indexed citations
2.
Natesan, Mohan, Sz‐Wei Wu, Stig M. R. Jensen, et al.. (2018). A Smartphone-Based Rapid Telemonitoring System for Ebola and Marburg Disease Surveillance. ACS Sensors. 4(1). 61–68. 21 indexed citations
3.
Merritt, Adam J., et al.. (2018). Clinical, Bacteriologic, and Geographic Stratification of Melioidosis Emerges from the Sri Lankan National Surveillance Program. American Journal of Tropical Medicine and Hygiene. 98(2). 607–615. 7 indexed citations
4.
Jayathilaka, Nimanthi, et al.. (2017). Host gene expression analysis in Sri Lankan melioidosis patients. PLoS neglected tropical diseases. 11(6). e0005643–e0005643. 8 indexed citations
5.
Natesan, Mohan, Enoka Corea, Beverly K. Dyas, et al.. (2017). Calprotectin as a Biomarker for Melioidosis Disease Progression and Management. Journal of Clinical Microbiology. 55(4). 1205–1210. 10 indexed citations
6.
Corea, Enoka, et al.. (2017). Gene Expression Profile of Human Cytokines in Response to Burkholderia pseudomallei Infection. mSphere. 2(2). 18 indexed citations
7.
Natesan, Mohan, Stig M. R. Jensen, Ana I. Kuehne, et al.. (2016). Human Survivors of Disease Outbreaks Caused by Ebola or Marburg Virus Exhibit Cross-Reactive and Long-Lived Antibody Responses. Clinical and Vaccine Immunology. 23(8). 717–724. 35 indexed citations
8.
Glaros, Trevor, Candace D. Blancett, Todd M. Bell, Mohan Natesan, & Robert G. Ulrich. (2015). Serum biomarkers of Burkholderia mallei infection elucidated by proteomic imaging of skin and lung abscesses. Clinical Proteomics. 12(1). 7–7. 15 indexed citations
9.
Natesan, Mohan, et al.. (2015). The road to linking genomics and proteomics of pathogenic bacteria: from binary protein complexes to interaction pathways. BMC Bioinformatics. 16(S2). 2 indexed citations
10.
Natesan, Mohan, et al.. (2014). Determination of Specific Antibody Responses to the Six Species of Ebola and Marburg Viruses by Multiplexed Protein Microarrays. Clinical and Vaccine Immunology. 21(12). 1605–1612. 17 indexed citations
11.
Natesan, Mohan & Robert G. Ulrich. (2010). Protein Microarrays and Biomarkers of Infectious Disease. International Journal of Molecular Sciences. 11(12). 5165–5183. 34 indexed citations
12.
Natesan, Mohan, Matthew A. Cooper, Julie P. Tran, Victor R. Rivera, & Mark Poli. (2009). Quantitative Detection of Staphylococcal Enterotoxin B by Resonant Acoustic Profiling. Analytical Chemistry. 81(10). 3896–3902. 23 indexed citations
13.
Cherian, Suman, Mohan Natesan, Robert J. Cain, et al.. (2005). Microcantilever Array Sensors for Biomolecular Detection. Florence Research (University of Florence). 3 indexed citations
14.
Lee, Gil U., et al.. (2000). Implementation of Force Differentiation in the Immunoassay. Analytical Biochemistry. 287(2). 261–271. 46 indexed citations
15.
Metzger, Steven, et al.. (1999). Development and characterization of surface chemistries for microfabricated biosensors. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 17(5). 2623–2628. 41 indexed citations
16.
Baselt, David R., Gil U. Lee, Mohan Natesan, et al.. (1998). A biosensor based on magnetoresistance technology. Biosensors and Bioelectronics. 13(7-8). 731–739. 623 indexed citations breakdown →
17.
Natesan, Mohan, Z Razi-Wolf, & Hans Reiser. (1996). Costimulation of IL-4 production by murine B7-1 and B7-2 molecules. The Journal of Immunology. 156(8). 2783–2791. 70 indexed citations
18.
Natesan, Mohan, et al.. (1989). A mouse monoclonal antibody to Vi antigen & its usefulness in the serotyping of Salmonella.. PubMed. 89. 229–32. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026