Poorva Jain
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Inflammation biomarkers and pathways 4
- interferon and immune responses 1
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- Epigenetics and DNA Methylation 1
- Ion channel regulation and function 1
- Cancer-related gene regulation 1
- Co-authors
- Michelle L. James (5 shared papers)Aisling M. Chaney (5 shared papers)Isaac M. Jackson (2 shared papers)Paul Cockwell (3 shared papers)Richa Jain (1 shared paper)Saurabh Bhargava (1 shared paper)Richard J. McManus (3 shared papers)Sana Khan (1 shared paper)
- Journals
- Journal of Nuclear Medicine (2 papers)American Journal of Clinical Pathology (1 paper)PLoS Genetics (1 paper)PLoS ONE (1 paper)Trials (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Poorva Jain
13 papers receiving 307 citations
Peers
Comparison fields: 5 of 79
- Nephrology 48
- Neurology 41
- Pharmaceutical Science 32
- Biological Psychiatry 8
- Genetics 25
Countries citing papers authored by Poorva Jain
This map shows the geographic impact of Poorva Jain'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 Poorva Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Poorva Jain more than expected).
Fields of papers citing papers by Poorva Jain
This network shows the impact of papers produced by Poorva Jain. 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 Poorva Jain. The network helps show where Poorva Jain may publish in the future.
Co-authors
The 25 scholars most cited alongside Poorva Jain, 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 | 2020 | 95 | |
| 2 | 2018 | 56 | |
| 3 | 2010 | 54 | |
| 4 | 2014 | 23 | |
| 5 | 2016 | 19 | |
| 6 | 2022 | 19 | |
| 7 | 2009 | 13 | |
| 8 | 2014 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2012 | 4 | |
| 12 | TREM1-PET imaging of pro-inflammatory myeloid cells distinguishes active disease from remission in Multiple Sclerosis | 2020 | 2 |
| 13 | Visualizing innate immune activation in a mouse model of Parkinson’s disease using a highly specific TREM1-PET tracer. | 2020 | 1 |
About Poorva Jain
Poorva Jain is a scholar working on Immunology, Molecular Biology, Neurology, Surgery and Nephrology, having authored 13 papers that have together received 314 indexed citations. Recurring topics across this work include Inflammation biomarkers and pathways (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), interferon and immune responses (1 paper), Advanced battery technologies research (1 paper), Epigenetics and DNA Methylation (1 paper), Ion channel regulation and function (1 paper), Cancer-related gene regulation (1 paper) and Kawasaki Disease and Coronary Complications (1 paper). The work is most often cited by research in Nephrology (48 citations), Neurology (41 citations), Pharmaceutical Science (32 citations), Biological Psychiatry (8 citations) and Genetics (25 citations). Poorva Jain has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michelle L. James, Aisling M. Chaney, Isaac M. Jackson, Paul Cockwell, Richa Jain, Saurabh Bhargava, Richard J. McManus, Sana Khan, Aakanchha Jain and Melanie Calvert. Their work appears in journals such as Journal of Nuclear Medicine, American Journal of Clinical Pathology, PLoS Genetics, PLoS ONE and Trials.
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.