Pinal Patel

1.1k citations
10 papers · 701 · h-index 8

Impact in

Papers in

Pinal Patel

10 papers receiving 678 citations

Peers

Pinal Patel
Comparison fields: 5 of 90
  • Nutrition and Dietetics 253
  • Physiology 171
  • Infectious Diseases 115
  • Endocrinology, Diabetes and Metabolism 86
  • Public Health, Environmental and Occupational Health 124
Replace Ana Raquel Soares de Oliveira with:
Ana Raquel Soares de Oliveira Brazil
Pim W. Gilijamse Netherlands
Hamdi Jama Australia
Akira Ohishi Japan
Laura A. Bolte Netherlands
Andrezza Fernanda Santiago Brazil
Faye Chleilat Canada
Ieva Strēle Latvia
J.-P. Girardet France
Henry Watson United Kingdom
Pinal Patel relative to Ana Raquel Soares de Oliveira Brazil Ana Raquel Soares de Oliveira's profile →
Citations per field
00.5×4.6×
Ana Raquel Soares de Oliveira · 1×
Citations per year

Countries citing papers authored by Pinal Patel

Since Specialization
Citations

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

Fields of papers citing papers by Pinal Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010181
2 2012180
3 2009117
4 202198
5 200946
6 201434
7 202120
8 202115
9 20167
10 20223

About Pinal Patel

Pinal Patel is a scholar working on Infectious Diseases, Nutrition and Dietetics, Physiology, Molecular Biology and Neurology, having authored 10 papers that have together received 701 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (3 papers), SARS-CoV-2 detection and testing (2 papers), Isotope Analysis in Ecology (1 paper), COVID-19 Clinical Research Studies (1 paper), Long-Term Effects of COVID-19 (1 paper), Service-Learning and Community Engagement (1 paper), Respiratory Support and Mechanisms (1 paper) and Biosensors and Analytical Detection (1 paper). The work is most often cited by research in Nutrition and Dietetics (253 citations), Physiology (171 citations), Infectious Diseases (115 citations), Endocrinology, Diabetes and Metabolism (86 citations) and Public Health, Environmental and Occupational Health (124 citations). Pinal Patel has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Nita G. Forouhi, Nicholas J. Wareham, Kay‐Tee Khaw, Robert Luben, Stephen J. Sharp, Alice Wallin, Alicja Wolk, Daniela Di Giuseppe, Nicola Orsini and Eugène Jansen. Their work appears in journals such as American Journal of Clinical Nutrition, Diabetes Care, Journal of Clinical Microbiology, Human Pathology and Sleep And Breathing.

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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