Priya Agarwal

1.3k citations
59 papers · 840 · h-index 17

Impact in

    • Pregnancy and preeclampsia studies
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • CAR-T cell therapy research
    • Cancer Treatment and Pharmacology

Papers in

Priya Agarwal

55 papers receiving 795 citations

Peers

Priya Agarwal
Comparison fields: 5 of 108
  • Obstetrics and Gynecology 120
  • Oncology 325
  • Anesthesiology and Pain Medicine 54
  • Radiology, Nuclear Medicine and Imaging 180
  • Pathology and Forensic Medicine 117
Replace Lois Brafman with:
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Cheryl Lewis United States
Liang Zeng Canada
A.K.L. Reyners Netherlands
Philip R. Debruyne Belgium
Christopher P. Mill United States
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Yanming Wu China
F. Gómez France
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Priya Agarwal

Since Specialization
Citations

This map shows the geographic impact of Priya Agarwal'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 Priya Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Agarwal more than expected).

Fields of papers citing papers by Priya Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priya Agarwal. 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 Priya Agarwal. The network helps show where Priya Agarwal may publish in the future.

Co-authors

The 25 scholars most cited alongside Priya Agarwal, 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 Priya Agarwal Line = papers co-authored together Priya Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201789
2 202071
3 201665
4 201651
5 201641
6 201941
7 202040
8 202139
9 201732
10
Malarial hepatitis.
200331
11 201930
12 202025
13 201922
14 202020
15 201419
16 202019
17 201916
18 202114
19 202013
20 201313

About Priya Agarwal

Priya Agarwal is a scholar working on Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Genetics, having authored 59 papers that have together received 840 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (15 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Lymphoma Diagnosis and Treatment (9 papers), Cutaneous lymphoproliferative disorders research (5 papers), Cancer Treatment and Pharmacology (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), CAR-T cell therapy research (4 papers) and Epilepsy research and treatment (4 papers). The work is most often cited by research in Obstetrics and Gynecology (120 citations), Oncology (325 citations), Anesthesiology and Pain Medicine (54 citations), Radiology, Nuclear Medicine and Imaging (180 citations) and Pathology and Forensic Medicine (117 citations). Priya Agarwal has collaborated with scholars based in India, United States and France. Frequent co-authors include Sandhya Girish, Dan Lü, Chunze Li, José Morales-­Roselló­, Asma Khalil, Amar Bhidé, Mintu Nath, Naila Zaman Khan, Aris T. Papageorghiou and B. Thilaganathan. Their work appears in journals such as Clinical and Translational Science, CPT Pharmacometrics & Systems Pharmacology, Cancer Chemotherapy and Pharmacology, Cochrane Database of Systematic Reviews and Epilepsy & Behavior.

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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