Latha P. Ganesan
- Immunology top 5%
- Immune Response and Inflammation 7
- Hepatology top 10%
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- Monoclonal and Polyclonal Antibodies Research 11
- Virology top 10%
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 5
- PI3K/AKT/mTOR signaling in cancer 4
- Bacillus and Francisella bacterial research 4
- Sphingolipid Metabolism and Signaling 3
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- SARS-CoV-2 and COVID-19 Research 3
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- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Susheela TridandapaniClark L. AndersonJohn M. RobinsonMurugesan V. S. RajaramHuiqing FangJonghan KimRuma A. PengalSudhasri Mohanty
- Journals
- The Journal of Immunology (8 papers)PLoS Pathogens (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesMexicoArgentina
In The Last Decade
Latha P. Ganesan
41 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 106
- Immunology 642
- Hepatology 114
- Radiology, Nuclear Medicine and Imaging 244
- Virology 49
- Molecular Biology 712
Countries citing papers authored by Latha P. Ganesan
This map shows the geographic impact of Latha P. Ganesan'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 Latha P. Ganesan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Latha P. Ganesan more than expected).
Fields of papers citing papers by Latha P. Ganesan
This network shows the impact of papers produced by Latha P. Ganesan. 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 Latha P. Ganesan. The network helps show where Latha P. Ganesan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Latha P. Ganesan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 23 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 27 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 32 | |
| 10 | 2019 | 20 | |
| 11 | 2016 | 49 | |
| 12 | 2013 | 10 | |
| 13 | 2011 | 113 | |
| 14 | 2009 | 24 | |
| 15 | 2006 | 96 | |
| 16 | 2006 | 33 | |
| 17 | 2005 | 30 | |
| 18 | 2005 | 90 | |
| 19 | 2004 | 145 | |
| 20 | 2003 | 38 |
About Latha P. Ganesan
Latha P. Ganesan is a scholar working on Immunology, Virology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Molecular Biology, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Immune Response and Inflammation (7 papers), Glycosylation and Glycoproteins Research (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Bacillus and Francisella bacterial research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Immunology (642 citations), Hepatology (114 citations), Radiology, Nuclear Medicine and Imaging (244 citations), Virology (49 citations) and Molecular Biology (712 citations). Latha P. Ganesan has collaborated with scholars based in United States, Mexico and Argentina. Frequent co-authors include Susheela Tridandapani, Clark L. Anderson, John M. Robinson, Murugesan V. S. Rajaram, Huiqing Fang, Jonghan Kim, Ruma A. Pengal, Sudhasri Mohanty, Clay B. Marsh and Mark D. Wewers. Their work appears in journals such as The Journal of Immunology, PLoS Pathogens, Journal of Biological Chemistry, iScience and Frontiers in Immunology.
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.