J. Seshu

2.2k total citations
57 papers, 1.8k citations indexed

About

J. Seshu is a scholar working on Parasitology, Infectious Diseases and Insect Science. According to data from OpenAlex, J. Seshu has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Parasitology, 24 papers in Infectious Diseases and 16 papers in Insect Science. Recurrent topics in J. Seshu's work include Vector-borne infectious diseases (36 papers), Viral Infections and Vectors (20 papers) and Insect symbiosis and bacterial influences (13 papers). J. Seshu is often cited by papers focused on Vector-borne infectious diseases (36 papers), Viral Infections and Vectors (20 papers) and Insect symbiosis and bacterial influences (13 papers). J. Seshu collaborates with scholars based in United States, China and Luxembourg. J. Seshu's co-authors include Jonathan T. Skare, Maria D. Esteve‐Gasent, Maria Labandeira‐Rey, S. L. Rajasekhar Karna, Christine L. Miller, Bernard P. Arulanandam, M. Neal Guentzel, Ashlesh K. Murthy, Weidang Li and Guangming Zhong and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

J. Seshu

56 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Seshu United States 24 1.1k 762 515 353 343 57 1.8k
Kayla E. Hagman United States 22 855 0.8× 783 1.0× 353 0.7× 286 0.8× 224 0.7× 26 2.0k
David R. Herndon United States 16 671 0.6× 336 0.4× 280 0.5× 307 0.9× 162 0.5× 38 1.2k
Jon S. Blevins United States 24 849 0.8× 1.6k 2.1× 458 0.9× 268 0.8× 206 0.6× 40 2.6k
John M. Hardham United States 19 716 0.7× 740 1.0× 197 0.4× 238 0.7× 193 0.6× 35 1.6k
Chiaki Ishihara Japan 26 974 0.9× 826 1.1× 278 0.5× 406 1.2× 334 1.0× 92 2.0k
John V. McDowell United States 24 825 0.8× 790 1.0× 244 0.5× 173 0.5× 379 1.1× 31 1.5k
Heinz Sager Switzerland 29 1.7k 1.6× 670 0.9× 263 0.5× 467 1.3× 159 0.5× 77 2.4k
Susan M. Noh United States 19 894 0.8× 530 0.7× 393 0.8× 367 1.0× 159 0.5× 55 1.3k
Juan P. Olano United States 27 1.1k 1.1× 876 1.1× 153 0.3× 286 0.8× 338 1.0× 55 1.9k
Sjoerd Rijpkema United Kingdom 26 1.9k 1.8× 1.8k 2.4× 422 0.8× 948 2.7× 268 0.8× 80 2.7k

Countries citing papers authored by J. Seshu

Since Specialization
Citations

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

Fields of papers citing papers by J. Seshu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Seshu

This figure shows the co-authorship network connecting the top 25 collaborators of J. Seshu. A scholar is included among the top collaborators of J. Seshu 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 J. Seshu. J. Seshu 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.
Kumaresan, Venkatesh, et al.. (2023). Cellular and transcriptome signatures unveiled by single-cell RNA-Seq following ex vivo infection of murine splenocytes with Borrelia burgdorferi. Frontiers in Immunology. 14. 1296580–1296580. 2 indexed citations
3.
Seshu, J., et al.. (2021). STAS Domain Only Proteins in Bacterial Gene Regulation. Frontiers in Cellular and Infection Microbiology. 11. 679982–679982. 9 indexed citations
4.
Seshu, J., et al.. (2021). Antifungal activity of dendritic cell lysosomal proteins against Cryptococcus neoformans. Scientific Reports. 11(1). 13619–13619. 8 indexed citations
5.
Karna, S. L. Rajasekhar, et al.. (2020). Pirfenidone regulates LPS mediated activation of neutrophils. Scientific Reports. 10(1). 19936–19936. 18 indexed citations
6.
Brissette, Catherine A., et al.. (2018). Transcriptomic insights on the virulence-controlling CsrA, BadR, RpoN, and RpoS regulatory networks in the Lyme disease spirochete. PLoS ONE. 13(8). e0203286–e0203286. 23 indexed citations
7.
Seshu, J., et al.. (2017). Analysis of DNA and RNA Binding Properties of Borrelia burgdorferi Regulatory Proteins. Methods in molecular biology. 1690. 155–175. 2 indexed citations
8.
Nally, Jarlath E., André Alex Grassmann, Sébastien Planchon, et al.. (2017). Pathogenic Leptospires Modulate Protein Expression and Post-translational Modifications in Response to Mammalian Host Signals. Frontiers in Cellular and Infection Microbiology. 7. 362–362. 33 indexed citations
9.
Hole, Camaron R., S. L. Rajasekhar Karna, Christine L. Miller, et al.. (2016). Statins reduce spirochetal burden and modulate immune responses in the C3H/HeN mouse model of Lyme disease. Microbes and Infection. 18(6). 430–435. 14 indexed citations
11.
Aguirre, J. Dafhne, Matthew R. McIlvin, Christine Vazquez, et al.. (2013). A Manganese-rich Environment Supports Superoxide Dismutase Activity in a Lyme Disease Pathogen, Borrelia burgdorferi. Journal of Biological Chemistry. 288(12). 8468–8478. 71 indexed citations
12.
Arulanandam, Bernard P., Jieh‐Juen Yu, Sean Leonard, et al.. (2012). Francisella DnaK Inhibits Tissue-nonspecific Alkaline Phosphatase. Journal of Biological Chemistry. 287(44). 37185–37194. 4 indexed citations
13.
Miller, Christine L., et al.. (2012). Effect of Levels of Acetate on the Mevalonate Pathway of Borrelia burgdorferi. PLoS ONE. 7(5). e38171–e38171. 44 indexed citations
14.
Li, Weidang, Ashlesh K. Murthy, Bharat K. R. Chaganty, et al.. (2011). Immunization with Dendritic Cells Pulsed ex vivo with Recombinant Chlamydial Protease-Like Activity Factor Induces Protective Immunity Against Genital Chlamydiamuridarum Challenge. SHILAP Revista de lepidopterología. 2. 73–73. 9 indexed citations
15.
Nallaparaju, Kalyan C., Jieh‐Juen Yu, Stephen A. Rodriguez, et al.. (2011). Evasion of IFN-γ Signaling by Francisella novicida Is Dependent upon Francisella Outer Membrane Protein C. PLoS ONE. 6(3). e18201–e18201. 19 indexed citations
17.
Murthy, Ashlesh K., Bharat K. R. Chaganty, Weidang Li, et al.. (2009). A limited role for antibody in protective immunity induced by rCPAF and CpG vaccination against primary genitalChlamydia muridarumchallenge. FEMS Immunology & Medical Microbiology. 55(2). 271–279. 26 indexed citations
18.
Li, Weidang, Ashlesh K. Murthy, M. Neal Guentzel, et al.. (2008). Antigen-Specific CD4+ T Cells Produce Sufficient IFN-γ to Mediate Robust Protective Immunity against Genital Chlamydia muridarum Infection. The Journal of Immunology. 180(5). 3375–3382. 77 indexed citations
19.
Esteve‐Gasent, Maria D., et al.. (2008). sodA is essential for virulence of Borrelia burgdorferi in the murine model of Lyme disease. Molecular Microbiology. 71(3). 594–612. 69 indexed citations
20.
Rivera‐Amill, Vanessa, Bong Jik Kim, J. Seshu, & Michael E. Konkel. (2001). Secretion of the Virulence‐AssociatedCampylobacterInvasion Antigens fromCampylobacter jejuniRequires a Stimulatory Signal. The Journal of Infectious Diseases. 183(11). 1607–1616. 119 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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