Jeevan Jyot

1.4k total citations
20 papers, 1.1k citations indexed

About

Jeevan Jyot is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Jeevan Jyot has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Immunology. Recurrent topics in Jeevan Jyot's work include Bacterial biofilms and quorum sensing (10 papers), Bacterial Genetics and Biotechnology (6 papers) and Vibrio bacteria research studies (5 papers). Jeevan Jyot is often cited by papers focused on Bacterial biofilms and quorum sensing (10 papers), Bacterial Genetics and Biotechnology (6 papers) and Vibrio bacteria research studies (5 papers). Jeevan Jyot collaborates with scholars based in United States, France and India. Jeevan Jyot's co-authors include Reuben Ramphal, Nandini Dasgupta, Stephen Lory, Andrew L. Goodman, Matthew C. Wolfgang, Shiwani K. Arora, Viviane Balloy, Michel Chignard, Amrisha Verma and Avinash Sonawane and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jeevan Jyot

20 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeevan Jyot United States 15 678 306 288 256 199 20 1.1k
Danielle Buckley United States 4 888 1.3× 485 1.6× 229 0.8× 410 1.6× 364 1.8× 5 1.3k
F. Heath Damron United States 23 878 1.3× 391 1.3× 299 1.0× 286 1.1× 143 0.7× 62 1.5k
Fadie T. Coleman United States 13 564 0.8× 117 0.4× 187 0.6× 282 1.1× 317 1.6× 18 1.1k
B H Iglewski United States 15 725 1.1× 296 1.0× 227 0.8× 294 1.1× 79 0.4× 20 1.1k
Chantal Soscia France 16 1.1k 1.7× 586 1.9× 690 2.4× 522 2.0× 89 0.4× 18 1.5k
Shiwani K. Arora United States 20 1.4k 2.0× 717 2.3× 404 1.4× 361 1.4× 263 1.3× 20 1.9k
Mladen Tomich United States 11 415 0.6× 140 0.5× 216 0.8× 78 0.3× 189 0.9× 12 797
Channakhone Saenphimmachak United States 3 791 1.2× 333 1.1× 234 0.8× 424 1.7× 365 1.8× 3 1.1k
Cora Kooi Canada 20 516 0.8× 145 0.5× 350 1.2× 139 0.5× 519 2.6× 35 1.3k
Matthew Feldman United States 5 454 0.7× 136 0.4× 159 0.6× 199 0.8× 175 0.9× 9 670

Countries citing papers authored by Jeevan Jyot

Since Specialization
Citations

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

Fields of papers citing papers by Jeevan Jyot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeevan Jyot

This figure shows the co-authorship network connecting the top 25 collaborators of Jeevan Jyot. A scholar is included among the top collaborators of Jeevan Jyot 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 Jeevan Jyot. Jeevan Jyot 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.
2.
Gupte, Asmita, Jeevan Jyot, & Reuben Ramphal. (2015). High Pyocyanin Production and Non-motility Correlate With Adverse Outcomes in Pseudomonas aeruginosa Bacteremia. Open Forum Infectious Diseases. 2(suppl_1). 1 indexed citations
3.
Patankar, Yash R., Rustin R. Lovewell, Matthew E. Poynter, et al.. (2013). Flagellar Motility Is a Key Determinant of the Magnitude of the Inflammasome Response to Pseudomonas aeruginosa. Infection and Immunity. 81(6). 2043–2052. 48 indexed citations
4.
Inaba, Satoshi, et al.. (2012). Exchangeability of the flagellin (FliC) and the cap protein (FliD) among different species in flagellar assembly. Biopolymers. 99(1). 63–72. 8 indexed citations
5.
Cattoir, Vincent, Giri Narasimhan, David Skurnik, et al.. (2012). Transcriptional Response of Mucoid Pseudomonas aeruginosa to Human Respiratory Mucus. mBio. 3(6). e00410–12. 34 indexed citations
6.
Jyot, Jeevan, Viviane Balloy, Grégory Jouvion, et al.. (2011). Type II Secretion System of Pseudomonas aeruginosa: In Vivo Evidence of a Significant Role in Death Due to Lung Infection. The Journal of Infectious Diseases. 203(10). 1369–1377. 66 indexed citations
7.
8.
Ramphal, Reuben, Viviane Balloy, Jeevan Jyot, et al.. (2008). Control of Pseudomonas aeruginosa in the Lung Requires the Recognition of Either Lipopolysaccharide or Flagellin. The Journal of Immunology. 181(1). 586–592. 95 indexed citations
9.
Ramphal, Reuben, Viviane Balloy, Jeevan Jyot, et al.. (2008). Lack of control of Pseudomonas aeruginosa pulmonary infection in the absence of recognition of both lipopolysaccharide and flagellin. Journal of Cystic Fibrosis. 7. S54–S54. 1 indexed citations
10.
Balloy, Viviane, Jeevan Jyot, Amit Verma, et al.. (2008). Lack of control of Pseudomonas aeruginosa pulmonary infection in the absence of recognition of both lipopolysaccharide and flagellin. Revue des Maladies Respiratoires. 25(9). 1183–1183. 1 indexed citations
11.
Sonawane, Avinash, et al.. (2006). Neutrophil Elastase, an Innate Immunity Effector Molecule, Represses Flagellin Transcription in Pseudomonas aeruginosa. Infection and Immunity. 74(12). 6682–6689. 32 indexed citations
12.
Jyot, Jeevan, Avinash Sonawane, Weihui Wu, & Reuben Ramphal. (2006). Genetic mechanisms involved in the repression of flagellar assembly by Pseudomonas aeruginosa in human mucus. Molecular Microbiology. 63(4). 1026–1038. 27 indexed citations
13.
Sonawane, Avinash, Jeevan Jyot, & Reuben Ramphal. (2006). Pseudomonas aeruginosa LecB Is Involved in Pilus Biogenesis and Protease IV Activity but Not in Adhesion to Respiratory Mucins. Infection and Immunity. 74(12). 7035–7039. 25 indexed citations
14.
Wolfgang, Matthew C., Jeevan Jyot, Andrew L. Goodman, Reuben Ramphal, & Stephen Lory. (2004). Pseudomonas aeruginosa regulates flagellin expression as part of a global response to airway fluid from cystic fibrosis patients. Proceedings of the National Academy of Sciences. 101(17). 6664–6668. 126 indexed citations
15.
Dasgupta, Nandini, Matthew C. Wolfgang, Andrew L. Goodman, et al.. (2003). A four‐tiered transcriptional regulatory circuit controls flagellar biogenesis in Pseudomonas aeruginosa. Molecular Microbiology. 50(3). 809–824. 354 indexed citations
16.
Jyot, Jeevan, Nandini Dasgupta, & Reuben Ramphal. (2002). FleQ, the Major Flagellar Gene Regulator in Pseudomonas aeruginosa , Binds to Enhancer Sites Located Either Upstream or Atypically Downstream of the RpoN Binding Site. Journal of Bacteriology. 184(19). 5251–5260. 99 indexed citations
17.
Frisk, Anders, Jeevan Jyot, Shiwani K. Arora, & Reuben Ramphal. (2002). Identification and Functional Characterization of flgM , a Gene Encoding the Anti-Sigma 28 Factor in Pseudomonas aeruginosa. Journal of Bacteriology. 184(6). 1514–1521. 50 indexed citations
18.
Jyot, Jeevan, Jitendra Gautam, Manoj Raje, & Amit Ghosh. (1999). Localization of DnaK and GroEL inVibrio cholerae. FEMS Microbiology Letters. 172(2). 165–171. 8 indexed citations
19.
20.
Jyot, Jeevan & Amit Ghosh. (1995). Induction of heat shock response in Vibrio cholerae. Microbiology. 141(9). 2101–2109. 14 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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