Poorva Jain

506 citations
13 papers · 296 indexed · h-index 9

Impact in

  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Dialysis and Renal Disease Management
    • Advancements in Transdermal Drug Delivery

Papers in

    • Inflammation biomarkers and pathways 4
    • interferon and immune responses 1
    • Ion channel regulation and function 1

Poorva Jain

13 papers receiving 291 citations

Peers

Poorva Jain
Comparison fields: 5 of 81
  • Nephrology 59
  • Pharmaceutical Science 32
  • Neurology 43
  • Biological Psychiatry 7
  • Genetics 27
Replace Zhe Guan with:
Zhe Guan China
Hina Khan United States
Dimitra Kalavrizioti Greece
Morten Bagger Switzerland
Noriko Matsunaga Japan
Laimdota Zizmare Germany
Lu Xiao China
Raquel Dodelson de Kremer Argentina
Xueqing Hu China
Jiaxuan Jiang China
Poorva Jain relative to Zhe Guan China Zhe Guan's profile →
Citations per field
00.5×10.7×
Zhe Guan · 1×
Citations per year

Countries citing papers authored by Poorva Jain

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Poorva Jain Line = papers co-authored together Poorva Jain links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202086
2 201053
3 201852
4 201422
5 202219
6 201618
7 200912
8 201411
9 201910
10 20236
11 20124
12
TREM1-PET imaging of pro-inflammatory myeloid cells distinguishes active disease from remission in Multiple Sclerosis
20202
13
Visualizing innate immune activation in a mouse model of Parkinson’s disease using a highly specific TREM1-PET tracer.
20201

About Poorva Jain

Poorva Jain is a scholar working on Immunology, Molecular Biology, Nephrology, Cardiology and Cardiovascular Medicine and Neurology, having authored 13 papers that have together received 296 indexed citations. Recurring topics across this work include Inflammation biomarkers and pathways (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Blood Pressure and Hypertension Studies (3 papers), Potassium and Related Disorders (2 papers), interferon and immune responses (1 paper), Ion channel regulation and function (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Nephrology (59 citations), Pharmaceutical Science (32 citations), Neurology (43 citations), Biological Psychiatry (7 citations) and Genetics (27 citations). Poorva Jain has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Aisling M. Chaney, Isaac M. Jackson, Michelle L. James, Paul Cockwell, Richa Jain, Sana Khan, Sourabh Jain, Saurabh Bhargava, Aakanchha Jain and Richard J. McManus. Their work appears in journals such as Journal of Nuclear Medicine, Science Translational Medicine, BMJ Open, Clinical Journal of the American Society of Nephrology and PLoS Genetics.

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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