Arun Rawat

2.6k citations
72 papers · 1.8k · h-index 22

Impact in

Papers in

Arun Rawat

70 papers receiving 1.7k citations

Peers

Arun Rawat
Comparison fields: 5 of 124
  • Clinical Biochemistry 132
  • Biochemistry 129
  • Toxicology 57
  • Pathology and Forensic Medicine 224
  • Pediatrics, Perinatology and Child Health 229
Replace David N. Criddle with:
David N. Criddle United Kingdom
Junko Adachi Japan
Roger D. Hurst New Zealand
Kitty Verhoeckx Netherlands
Flavia Franconi Italy
Alba Minelli Italy
Jin Hyup Lee South Korea
Yves Artur France
María Miranda Spain
Eunkyue Park United States
Arun Rawat relative to David N. Criddle United Kingdom David N. Criddle's profile →
Citations per field
00.5×3.0×
David N. Criddle · 1×
Citations per year

Countries citing papers authored by Arun Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Arun Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016168
2 2020153
3 1974114
4 196889
5 200684
6 197774
7 201972
8 201469
9 196848
10 197645
11 201436
12 197334
13 201034
14 201831
15 197630
16 201427
17 197226
18 197226
19 196924
20 202123

About Arun Rawat

Arun Rawat is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Biochemistry, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (11 papers), Prenatal Substance Exposure Effects (10 papers), Eicosanoids and Hypertension Pharmacology (9 papers), Galectins and Cancer Biology (8 papers), Alcohol Consumption and Health Effects (8 papers), Diet, Metabolism, and Disease (7 papers), Natural product bioactivities and synthesis (6 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Clinical Biochemistry (132 citations), Biochemistry (129 citations), Toxicology (57 citations), Pathology and Forensic Medicine (224 citations) and Pediatrics, Perinatology and Child Health (229 citations). Arun Rawat has collaborated with scholars based in United States, India and Qatar. Frequent co-authors include Kengo Kuriyama, Parul Singh, Souhaila Al Khodor, Elham Sharif, Rusung Tan, Patrick Tang, Mohammad R. Hasan, Éva Thomas, Frank Lundquist and Puthen V. Jithesh. Their work appears in journals such as Medicinal Chemistry Research, Archives of Biochemistry and Biophysics, BMC Genomics, Journal of Neurochemistry and European Journal of Biochemistry.

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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