P. R. Deepa

1.5k citations
76 papers · 1.2k · h-index 22

Impact in

Papers in

P. R. Deepa

66 papers receiving 1.1k citations

Peers

P. R. Deepa
Comparison fields: 5 of 125
  • Biochemistry 91
  • Ophthalmology 108
  • Cancer Research 178
  • Pharmacology 77
  • Complementary and alternative medicine 60
Replace Hyun Hwangbo with:
Hyun Hwangbo South Korea
So Young Kim South Korea
Yeo Dae Yoon South Korea
Hui Guo China
Yi‐Ju Lee Taiwan
Hye Jin Jung South Korea
Andrea M. A. Pfeifer Switzerland
Dharamainder Choudhary United States
Cristina Campestre Italy
Yongli Bao China
P. R. Deepa relative to Hyun Hwangbo South Korea Hyun Hwangbo's profile →
Citations per field
00.5×8.4×
Hyun Hwangbo · 1×
Citations per year

Countries citing papers authored by P. R. Deepa

Since Specialization
Citations

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

Fields of papers citing papers by P. R. Deepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. R. Deepa. 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 P. R. Deepa. The network helps show where P. R. Deepa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200384
2 200662
3 200554
4 201154
5 201047
6 200345
7 201541
8 201637
9 202236
10 201032
11 200330
12 200329
13 200529
14 201028
15 201327
16 202227
17 201926
18 200525
19 200524
20 201024

About P. R. Deepa

P. R. Deepa is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Ophthalmology and Immunology, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (11 papers), Cancer, Lipids, and Metabolism (10 papers), Ocular Oncology and Treatments (8 papers), Phytochemicals and Antioxidant Activities (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer-related Molecular Pathways (5 papers) and Antioxidant Activity and Oxidative Stress (5 papers). The work is most often cited by research in Biochemistry (91 citations), Ophthalmology (108 citations), Cancer Research (178 citations), Pharmacology (77 citations) and Complementary and alternative medicine (60 citations). P. R. Deepa has collaborated with scholars based in India, Australia and United Kingdom. Frequent co-authors include Palaninathan Varalakshmi, Subramanian Krishnakumar, Pankaj Kumar Sharma, U Jayanthi, Vikas Khetan, HN Madhavan, Nalini Venkatesan, R Bagyalakshmi, Umashankar Vetrivel and Jyotirmay Biswas. Their work appears in journals such as Bioinformatics and Biology Insights, RSC Advances, Chemico-Biological Interactions, Toxicology and Journal of Agriculture and Food 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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