Pradeep Rajan

20 papers receiving 450 citations

Peers

Pradeep Rajan
Comparison fields: 5 of 70
  • Anesthesiology and Pain Medicine 43
  • Health, Toxicology and Mutagenesis 101
  • Public Health, Environmental and Occupational Health 178
  • Geriatrics and Gerontology 12
  • Emergency Medicine 22
Replace Nurhan Köksal with:
Nurhan Köksal Türkiye
Bong Yul Huh South Korea
Ming‐Chieh Li Taiwan
Sarah Vecchio Italy
Huiqun Jia China
Chien‐Hsiang Cheng Taiwan
Edward A. Loeser United States
Megan Jones United States
Latif Duran Türkiye
Serena Cardillo United States
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Citations per field
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Citations per year

Countries citing papers authored by Pradeep Rajan

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Rajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2014191
2 202050
3 201347
4 200537
5 200733
6 200626
7 202224
8 200821
9 202310
10 20229
11 20228
12 20235
13 20243
14 20051
15
Overview of the Quantitative Risk Assessment for the Current Review of the National Ambient Air Quality Standards (NAAQS) for PM
20101
16 20251
17 20211
18 20221
19 20251
20 20071

About Pradeep Rajan

Pradeep Rajan is a scholar working on Health, Toxicology and Mutagenesis, Epidemiology, Molecular Biology, Nutrition and Dietetics and Cell Biology, having authored 20 papers that have together received 471 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Trace Elements in Health (3 papers), Folate and B Vitamins Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Epigenetics and DNA Methylation (2 papers), Diet, Metabolism, and Disease (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (43 citations), Health, Toxicology and Mutagenesis (101 citations), Public Health, Environmental and Occupational Health (178 citations), Geriatrics and Gerontology (12 citations) and Emergency Medicine (22 citations). Pradeep Rajan has collaborated with scholars based in United States and India. Frequent co-authors include Lenn Murrelle, Onur Başer, Furaha Kariburyo, Andrew Joyce, Li Wang, Barbara Zedler, Lin Xie, Catherine C. Vick, Utibe‐Abasi S. Udoh and Howard Hu. Their work appears in journals such as International Journal of Molecular Sciences, Cells, Epidemiology, The Journal of Pediatrics and Occupational and Environmental Medicine.

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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