Priya Agarwal

1.3k citations
59 papers · 880 · 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

56 papers receiving 833 citations

Peers

Priya Agarwal
Comparison fields: 5 of 103
  • Obstetrics and Gynecology 102
  • Oncology 293
  • Anesthesiology and Pain Medicine 54
  • Radiology, Nuclear Medicine and Imaging 159
  • Geriatrics and Gerontology 23
Replace Soo Young Kim with:
Soo Young Kim South Korea
Liang Zeng Canada
Jingqiang Zhu China
Raquel E. Reinbolt United States
Philip R. Debruyne Belgium
A.K.L. Reyners Netherlands
Carlos A. Medina United States
Claire Jones Canada
António Araújo Portugal
Helen Steed Canada
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Citations per field
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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 201793
2 202072
3 201667
4 201654
5 201947
6 202044
7 202143
8 201641
9 201732
10 201931
11
Malarial hepatitis.
200331
12 202025
13 201923
14 202020
15 202020
16 201420
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 Psychiatry and Mental health, having authored 59 papers that have together received 880 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (14 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Epilepsy research and treatment (4 papers), Cancer Treatment and Pharmacology (4 papers), CAR-T cell therapy research (3 papers), Uterine Myomas and Treatments (3 papers) and Cutaneous lymphoproliferative disorders research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (102 citations), Oncology (293 citations), Anesthesiology and Pain Medicine (54 citations), Radiology, Nuclear Medicine and Imaging (159 citations) and Geriatrics and Gerontology (23 citations). Priya Agarwal has collaborated with scholars based in India, United States and France. Frequent co-authors include Sandhya Girish, Dan Lü, Chunze Li, Aris T. Papageorghiou, Asma Khalil, B. Thilaganathan, Naila Zaman Khan, Mintu Nath, Amar Bhidé and José Morales‐Roselló. Their work appears in journals such as Clinical and Translational Science, CPT Pharmacometrics & Systems Pharmacology, Cancer Chemotherapy and Pharmacology, Epilepsy & Behavior and Pharmaceutical Research.

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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