Geeta Ramesh
Impact in
- Parasitology top 2%
- Vector-borne infectious diseases
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Parasitology 12
- Vector-borne infectious diseases 12
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- Peripheral Neuropathies and Disorders 8
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Co-authors
- Mario T. Philipp (14 shared papers)Andrew G. MacLean (1 shared paper)Juan T. Borda (3 shared papers)Dale S. Martin (3 shared papers)John D. England (2 shared papers)Ramesh Ramamoorthy (2 shared papers)Bapi Pahar (1 shared paper)Andrew A. Lackner (2 shared papers)
- Journals
- Journal of Neuroinflammation (8 papers)American Journal Of Pathology (2 papers)The Journal of Immunology (1 paper)Microbiology (1 paper)Clinical and Vaccine Immunology (1 paper)
- Partner nations
- United States
In The Last Decade
Geeta Ramesh
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Parasitology 334
- Neurology 307
- Biological Psychiatry 75
- Infectious Diseases 235
- Developmental Neuroscience 43
Countries citing papers authored by Geeta Ramesh
This map shows the geographic impact of Geeta Ramesh'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 Geeta Ramesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geeta Ramesh more than expected).
Fields of papers citing papers by Geeta Ramesh
This network shows the impact of papers produced by Geeta Ramesh. 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 Geeta Ramesh. The network helps show where Geeta Ramesh may publish in the future.
Co-authors
The 25 scholars most cited alongside Geeta Ramesh, 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 | Cytokines and Chemokines at the Crossroads of Neuroinflammation, Neurodegeneration, and Neuropathic Pain Hit paper breakdown → | 2013 | 509 |
| 2 | 2008 | 92 | |
| 3 | 2012 | 66 | |
| 4 | 2015 | 66 | |
| 5 | 2009 | 59 | |
| 6 | 2003 | 58 | |
| 7 | 2013 | 49 | |
| 8 | 2017 | 37 | |
| 9 | 2014 | 30 | |
| 10 | 2015 | 27 | |
| 11 | 2004 | 26 | |
| 12 | 2005 | 26 | |
| 13 | 2017 | 21 | |
| 14 | 2008 | 21 | |
| 15 | 2005 | 18 | |
| 16 | 2017 | 14 | |
| 17 | 2015 | 13 | |
| 18 | 2016 | 1 |
About Geeta Ramesh
Geeta Ramesh is a scholar working on Parasitology, Neurology, Infectious Diseases, Cellular and Molecular Neuroscience and Neurology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (12 papers), Peripheral Neuropathies and Disorders (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Viral Infections and Vectors (4 papers), Neuropeptides and Animal Physiology (3 papers), Pain Mechanisms and Treatments (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Parasitology (334 citations), Neurology (307 citations), Biological Psychiatry (75 citations), Infectious Diseases (235 citations) and Developmental Neuroscience (43 citations). Geeta Ramesh has collaborated with scholars based in United States. Frequent co-authors include Mario T. Philipp, Andrew G. MacLean, Juan T. Borda, Dale S. Martin, John D. England, Ramesh Ramamoorthy, Bapi Pahar, Andrew A. Lackner, Mary B. Jacobs and Xavier Álvarez. Their work appears in journals such as Journal of Neuroinflammation, American Journal Of Pathology, The Journal of Immunology, Microbiology and Clinical and Vaccine 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.