Jaapna Dhillon

931 total citations
26 papers, 682 citations indexed

About

Jaapna Dhillon is a scholar working on Physiology, Nutrition and Dietetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jaapna Dhillon has authored 26 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 12 papers in Nutrition and Dietetics and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jaapna Dhillon's work include Diet and metabolism studies (10 papers), Nuts composition and effects (7 papers) and Muscle metabolism and nutrition (6 papers). Jaapna Dhillon is often cited by papers focused on Diet and metabolism studies (10 papers), Nuts composition and effects (7 papers) and Muscle metabolism and nutrition (6 papers). Jaapna Dhillon collaborates with scholars based in United States, Netherlands and Switzerland. Jaapna Dhillon's co-authors include Richard D. Mattes, Sze‐Yen Tan, Rudy M. Ortiz, Zhaoping Li, Janice Y. Lee, Rebecca L. Rivera, Robin M. Tucker, Alicia L. Carreiro, Kelly Higgins and Benjamin W. Redan and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The FASEB Journal.

In The Last Decade

Jaapna Dhillon

26 papers receiving 657 citations

Peers

Jaapna Dhillon
Comparison fields: 5 of 91
  • Nutrition and Dietetics 332
  • Physiology 235
  • Public Health, Environmental and Occupational Health 225
  • Molecular Biology 101
  • Cell Biology 85
Replace Jen‐Fang Liu with:
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Kristiina Juvonen Finland
Siew Ling Tey Singapore
Emilia Papakonstantinou Greece
Anestis Dougkas France
Ann G. Liu United States
Miriam Clegg United Kingdom
Edurne Simón Spain
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Citations per field, relative to Jaapna Dhillon
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Citations per year, relative to Jaapna Dhillon
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Countries citing papers authored by Jaapna Dhillon

Since Specialization
Citations

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

Fields of papers citing papers by Jaapna Dhillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaapna Dhillon

This figure shows the co-authorship network connecting the top 25 collaborators of Jaapna Dhillon. A scholar is included among the top collaborators of Jaapna Dhillon 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 Jaapna Dhillon. Jaapna Dhillon 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 11
2 22
3 20
4 7
5 6
6 10
7 1
8 1
9 3
10 4
11 53
12 46
13 34
14 23
15 9
16 49
17 55
18 50
19 34
20 94

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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