P. R. Deepa

1.5k citations
76 papers · 1.2k · h-index 23

Impact in

    • Phytochemicals and Antioxidant Activities
    • Antioxidant Activity and Oxidative Stress
    • Ocular Oncology and Treatments

Papers in

    • Peroxisome Proliferator-Activated Receptors 11
    • Metabolomics and Mass Spectrometry Studies 4
    • Cancer, Lipids, and Metabolism 10

P. R. Deepa

68 papers receiving 1.2k citations

Peers

P. R. Deepa
Comparison fields: 5 of 119
  • Biochemistry 87
  • Ophthalmology 98
  • Cancer Research 162
  • Pharmacology 66
  • Complementary and alternative medicine 54
Replace So Young Kim with:
So Young Kim South Korea
Yi‐Ju Lee Taiwan
Qi Zhou China
Ram Prasad United States
Li Tang United States
Yuan‐Yen Chang Taiwan
Chunlei Yu China
Marianna Lauricella Italy
Roberta Giordo Italy
Yeo Dae Yoon South Korea
P. R. Deepa relative to So Young Kim South Korea So Young Kim's profile →
Citations per field
00.5×2.9×
So Young Kim · 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 200386
2 200662
3 201154
4 200554
5 201047
6 200345
7 201542
8 201638
9 202238
10 201032
11 200330
12 200329
13 201029
14 201328
15 200528
16 202227
17 201927
18 201025
19 200525
20 200525

About P. R. Deepa

P. R. Deepa is a scholar working on Molecular Biology, Cancer Research, Ophthalmology, Epidemiology and Food Science, 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), Phytochemicals and Antioxidant Activities (7 papers), Ocular Oncology and Treatments (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mycobacterium research and diagnosis (4 papers) and Botanical Research and Chemistry (4 papers). The work is most often cited by research in Biochemistry (87 citations), Ophthalmology (98 citations), Cancer Research (162 citations), Pharmacology (66 citations) and Complementary and alternative medicine (54 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 RSC Advances, Bioinformatics and Biology Insights, Chemico-Biological Interactions, Current Eye Research and Food Bioscience.

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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