Jennifer E. Lee

17 total papers · 818 total citations
13 papers, 604 citations indexed

About

Jennifer E. Lee is a scholar working on Psychiatry and Mental health, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Jennifer E. Lee has authored 13 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Psychiatry and Mental health, 3 papers in Pharmacology and 3 papers in Cognitive Neuroscience. Recurrent topics in Jennifer E. Lee's work include Musculoskeletal pain and rehabilitation (3 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers) and Psychosomatic Disorders and Their Treatments (2 papers). Jennifer E. Lee is often cited by papers focused on Musculoskeletal pain and rehabilitation (3 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers) and Psychosomatic Disorders and Their Treatments (2 papers). Jennifer E. Lee collaborates with scholars based in United States, United Kingdom and South Africa. Jennifer E. Lee's co-authors include Laura Frey‐Law, Barbara A. Rakel, Kathleen A. Sluka, Dana L. Dailey, Carol Vance, Heather Bush, Richard Eloin Liebano, David Watson, Terry L. Wahls and Linda M. Rubenstein and has published in prestigious journals such as Pain, Journal of Pain and Journal of the American College of Nutrition.

In The Last Decade

Jennifer E. Lee

13 papers receiving 593 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer E. Lee 157 154 140 131 59 13 604
Sebastian Alvarado 260 1.7× 89 0.6× 68 0.5× 58 0.4× 47 0.8× 16 696
Erik Christensson 72 0.5× 69 0.4× 51 0.4× 184 1.4× 28 0.5× 24 663
A. D. Foster 131 0.8× 142 0.9× 53 0.4× 39 0.3× 20 0.3× 20 529
Ron J. Balnave 117 0.7× 67 0.4× 126 0.9× 67 0.5× 14 0.2× 16 698
Charlie H.T. Kwok 292 1.9× 55 0.4× 71 0.5× 75 0.6× 22 0.4× 20 656
Samantha K. Segall 134 0.9× 65 0.4× 139 1.0× 45 0.3× 64 1.1× 13 594
Lex C. Towns 61 0.4× 76 0.5× 243 1.7× 27 0.2× 27 0.5× 17 598
Anne Montgomery 61 0.4× 66 0.4× 37 0.3× 126 1.0× 66 1.1× 10 657
Charles M. Morin 112 0.7× 127 0.8× 200 1.4× 88 0.7× 7 0.1× 13 504
Tatiana Ferrante de Almeida 175 1.1× 109 0.7× 88 0.6× 91 0.7× 14 0.2× 14 501

Countries citing papers authored by Jennifer E. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer E. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer E. Lee. A scholar is included among the top collaborators of Jennifer E. Lee 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 E. Lee. Jennifer E. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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