Arpit Singhal

9 papers receiving 383 citations

Peers

Arpit Singhal
Comparison fields: 5 of 64
  • Rehabilitation 84
  • Complementary and alternative medicine 92
  • Cell Biology 118
  • Pharmacology 102
  • Orthopedics and Sports Medicine 45
Replace Wen-Chyuan Chen with:
Wen-Chyuan Chen Taiwan
Asako Zempo‐Miyaki Japan
Kwon-Eui Hong South Korea
Hakk Gökbel Türkiye
Luciana Alves dos Santos Brazil
Sam B. Ballak Netherlands
Letizia Rasica Italy
Suzanne Rousseau-Migneron Canada
Kristine Grøsfjeld Petersen Germany
Marcelo Conrado de Freitas Brazil
Arpit Singhal relative to Wen-Chyuan Chen Taiwan Wen-Chyuan Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arpit Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Arpit Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Arpit Singhal, 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 Arpit Singhal Line = papers co-authored together Arpit Singhal links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2008125
2 201094
3 200977
4 198860
5 200934
6 20156
7 20164
8 20083
9
Accelerated early postnatal growth is associated with increased blood pressure and body mass index in childhood
20061

About Arpit Singhal

Arpit Singhal is a scholar working on Rehabilitation, Cell Biology, Complementary and alternative medicine, Physiology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 404 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (3 papers), Cardiovascular and exercise physiology (2 papers), Adipose Tissue and Metabolism (2 papers), Exercise and Physiological Responses (2 papers), Vehicle Dynamics and Control Systems (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Hermeneutics and Narrative Identity (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Rehabilitation (84 citations), Complementary and alternative medicine (92 citations), Cell Biology (118 citations), Pharmacology (102 citations) and Orthopedics and Sports Medicine (45 citations). Arpit Singhal has collaborated with scholars based in United States. Frequent co-authors include Kirk J. Cureton, Jennifer L. Trilk, Nathan T. Jenkins, Patrick J. O’Connor, Amy Barr, William C. Roller, Qun Chao Zhao, Phillip D. Tomporowski, Kevin K. McCully and Maurice J. Arnaud. Their work appears in journals such as Journal of Applied Physiology, European Journal of Applied Physiology, Neurology, International Journal of Sport Nutrition and Exercise Metabolism and Medicine & Science in Sports & Exercise.

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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