J. Seshu
Impact in
- Parasitology top 0.5%
- Vector-borne infectious diseases
- Microbiology top 1%
- Reproductive tract infections research
Papers in ⓘ
- Parasitology 37
- Vector-borne infectious diseases 36
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- Insect symbiosis and bacterial influences 13
- Insect and Pesticide Research 7
- Co-authors
- Jonathan T. Skare (6 shared papers)Maria D. Esteve‐Gasent (7 shared papers)Maria Labandeira‐Rey (2 shared papers)S. L. Rajasekhar Karna (12 shared papers)Christine L. Miller (8 shared papers)Bernard P. Arulanandam (12 shared papers)M. Neal Guentzel (11 shared papers)Ashlesh K. Murthy (7 shared papers)
- Journals
- Infection and Immunity (15 papers)Molecular Microbiology (5 papers)PLoS ONE (5 papers)Scientific Reports (2 papers)Vaccine (2 papers)
- Partner nations
- United StatesChinaLuxembourg
In The Last Decade
J. Seshu
56 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 96
- Parasitology 1.1k
- Microbiology 299
- Insect Science 515
- Infectious Diseases 762
- Ecology, Evolution, Behavior and Systematics 353
Countries citing papers authored by J. Seshu
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
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-authors
The 25 scholars most cited alongside J. Seshu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 162 | |
| 2 | 2003 | 131 | |
| 3 | 2001 | 119 | |
| 4 | 2011 | 118 | |
| 5 | 2008 | 77 | |
| 6 | 2004 | 75 | |
| 7 | 2013 | 71 | |
| 8 | 2008 | 69 | |
| 9 | 2013 | 62 | |
| 10 | 2010 | 56 | |
| 11 | 2016 | 53 | |
| 12 | 2004 | 53 | |
| 13 | 2007 | 46 | |
| 14 | 2012 | 44 | |
| 15 | 2009 | 40 | |
| 16 | 2006 | 40 | |
| 17 | 2009 | 35 | |
| 18 | 2017 | 35 | |
| 19 | 2017 | 33 | |
| 20 | 2007 | 32 |
About J. Seshu
J. Seshu is a scholar working on Parasitology, Insect Science, Infectious Diseases, Microbiology and Endocrinology, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (36 papers), Viral Infections and Vectors (20 papers), Insect symbiosis and bacterial influences (13 papers), Vector-Borne Animal Diseases (11 papers), Insect and Pesticide Research (7 papers), Reproductive tract infections research (7 papers), Toxin Mechanisms and Immunotoxins (6 papers) and Bacillus and Francisella bacterial research (5 papers). The work is most often cited by research in Parasitology (1.1k citations), Microbiology (299 citations), Insect Science (515 citations), Infectious Diseases (762 citations) and Ecology, Evolution, Behavior and Systematics (353 citations). J. Seshu has collaborated with scholars based in United States, China and Luxembourg. Frequent 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, Guangming Zhong and Weidang Li. Their work appears in journals such as Infection and Immunity, Molecular Microbiology, PLoS ONE, Scientific Reports and Vaccine.
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.