Arun Rawat

2.6k total citations
72 papers, 1.8k citations indexed

About

Arun Rawat is a scholar working on Molecular Biology, Immunology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Arun Rawat has authored 72 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Immunology and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Arun Rawat's work include Protein Tyrosine Phosphatases (11 papers), Prenatal Substance Exposure Effects (10 papers) and Eicosanoids and Hypertension Pharmacology (9 papers). Arun Rawat is often cited by papers focused on Protein Tyrosine Phosphatases (11 papers), Prenatal Substance Exposure Effects (10 papers) and Eicosanoids and Hypertension Pharmacology (9 papers). Arun Rawat collaborates with scholars based in United States, India and Qatar. Arun Rawat's co-authors include Kengo Kuriyama, Souhaila Al Khodor, Parul Singh, Elham Sharif, Patrick Tang, Rusung Tan, Frank Lundquist, Mohammad R. Hasan, Puthen V. Jithesh and Peter Tilley and has published in prestigious journals such as Science, Journal of Biological Chemistry and Environmental Science & Technology.

In The Last Decade

Arun Rawat

70 papers receiving 1.7k citations

Peers

Arun Rawat
Comparison fields: 5 of 124
  • Molecular Biology 700
  • Pathology and Forensic Medicine 235
  • Pediatrics, Perinatology and Child Health 234
  • Epidemiology 218
  • Physiology 184
Replace Yves Artur with:
Yves Artur France
Anthony I. Mallet United Kingdom
E.A. Nunez France
Yoshiji Ohta Japan
Junko Adachi Japan
Benvenuto Cestaro Italy
Shuichi Kimura Japan
Alba Minelli Italy
David N. Criddle United Kingdom
Roger D. Hurst New Zealand
Yves Artur France View profile →
Citations per field, relative to Arun Rawat
Arun Rawat · 1×
Citations per year, relative to Arun Rawat
Arun Rawat · 1×

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-authorship network of co-authors of Arun Rawat

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Rawat. A scholar is included among the top collaborators of Arun Rawat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arun Rawat. Arun Rawat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 15
2 13
3 9
4 20
5 147
6 5
7 72
8 30
9 7
10 5
11 6
12 27
13 15
14 22
15 15
16 17
17 14
18 12
19
Evaluation of Ayurvedic compound formulations 1 -Nãrãca Cũrna
2
20
Effects of maternal ethanol consumption on the metabolism of dopamine in rat fetus and neo nate
4

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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