Jennifer K. Pai

3.3k citations
37 papers · 2.4k indexed · 1 hit paper · h-index 23
Topics
Adipokines, Inflammation, and Metabolic Diseases (7 papers)Peripheral Artery Disease Management (5 papers)Sleep and related disorders (4 papers)

In The Last Decade

Jennifer K. Pai

36 papers receiving 2.3k citations

Hit Papers

Inflammatory Markers and the Risk of Coronary Heart Disea...20042026201120182004250500750

Peers

Jennifer K. Pai
Comparison fields: 5 of 136
  • Epidemiology 698
  • Surgery 630
  • Cardiology and Cardiovascular Medicine 581
  • Endocrinology, Diabetes and Metabolism 364
  • Immunology 358
Replace Gavin J. Blake with:
Gavin J. Blake United States
Armin Imhof Germany
John Danesh United Kingdom
I.M. van der Meer Netherlands
Marietta Charakida United Kingdom
James M. Peacock United States
Apostolos Hatzitolios Greece
Anneke C. Muller Kobold Netherlands
Fadi G. Hage United States
Chao‐Yu Guo Taiwan
Jennifer K. Pai relative to Gavin J. Blake United States Gavin J. Blake's profile →
Citations per field
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Gavin J. Blake · 1×
Citations per year

Countries citing papers authored by Jennifer K. Pai

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer K. Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer K. Pai. 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 Jennifer K. Pai. The network helps show where Jennifer K. Pai may publish in the future.

Co-authorship network of co-authors of Jennifer K. Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer K. Pai. A scholar is included among the top collaborators of Jennifer K. Pai 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 Jennifer K. Pai. Jennifer K. Pai 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
#WorkIndexed citations
1 12
2 14
3
The Spectrum of Insomnia-Associated Comorbidities in an Electronic Medical Records Cohort.
1
4 2
5 42
6 45
7 71
8 69
9 53
10 69
11 46
12 207
13 12
14 22
15 71
16 19
17 32
18 114
19 51
20 120

About Jennifer K. Pai

Jennifer K. Pai is a scholar working on Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Immunology, having authored 37 papers that have together received 2.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Peripheral Artery Disease Management (5 papers) and Sleep and related disorders (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (581 citations), Endocrinology, Diabetes and Metabolism (364 citations) and Epidemiology (698 citations). Jennifer K. Pai has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Eric B. Rimm, Tobias Pischon, JoAnn E. Manson, Kenneth J. Mukamal, Carolyn C. Cannuscio, Nader Rifai, Gary C. Curhan, Meir J. Stampfer, Kaumudi Joshipura and Kathryn M. Rexrode. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of the American College of Cardiology.

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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