Jennifer E. Lee

825 total citations
14 papers, 608 citations indexed

About

Jennifer E. Lee is a scholar working on Psychiatry and Mental health, Pharmacology and Neurology. According to data from OpenAlex, Jennifer E. Lee has authored 14 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Psychiatry and Mental health, 3 papers in Pharmacology and 3 papers in Neurology. Recurrent topics in Jennifer E. Lee's work include Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Musculoskeletal pain and rehabilitation (3 papers) and Pain Mechanisms and Treatments (2 papers). Jennifer E. Lee is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Musculoskeletal pain and rehabilitation (3 papers) and Pain Mechanisms and 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, Kathleen A. Sluka, Barbara A. Rakel, Heather Bush, Dana L. Dailey, Carol Vance, Richard Eloin Liebano, Terry L. Wahls, David Watson and Babita Bisht 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 597 citations

Peers

Jennifer E. Lee
Nirit Geva Israel
A. D. Foster United States
Charles Curtis United Kingdom
Paul A. Illich United States
Lynsey S. Hall United Kingdom
Naomi Brooks United Kingdom
Jennifer Lewis United Kingdom
Jennifer E. Lee
Citations per year, relative to Jennifer E. Lee Jennifer E. Lee (= 1×) peers Gennaro Boccia

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

14 of 14 papers shown
1.
2.
Lee, Jennifer E., et al.. (2022). The Wahls Behavior Change Model for Complex Chronic Diseases: A Clinician’s Guide. PubMed. Volume 12. 111–125. 2 indexed citations
3.
Krafft, P. M., et al.. (2021). An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists. University of the Arts London Research Online (University of the Arts London). 772–781. 50 indexed citations
4.
Lee, Jennifer E., et al.. (2020). <p>Multisensory Sensitivity is Related to Deep-Tissue but Not Cutaneous Pain Sensitivity in Healthy Individuals</p>. Journal of Pain Research. Volume 13. 2493–2508. 10 indexed citations
6.
Lee, Jennifer E., et al.. (2018). Transcutaneous Electrical Nerve Stimulation Reduces Resting Pain in Head and Neck Cancer Patients. Cancer Nursing. 42(3). 218–228. 24 indexed citations
7.
Lee, Jennifer E., et al.. (2017). A Multimodal, Nonpharmacologic Intervention Improves Mood and Cognitive Function in People with Multiple Sclerosis. Journal of the American College of Nutrition. 36(3). 150–168. 44 indexed citations
8.
Feinstein, Justin S., Sahib S. Khalsa, Tim V. Salomons, et al.. (2015). Preserved emotional awareness of pain in a patient with extensive bilateral damage to the insula, anterior cingulate, and amygdala. Brain Structure and Function. 221(3). 1499–1511. 67 indexed citations
9.
Dailey, Dana L., Barbara A. Rakel, Carol Vance, et al.. (2013). Transcutaneous electrical nerve stimulation reduces pain, fatigue and hyperalgesia while restoring central inhibition in primary fibromyalgia. Pain. 154(11). 2554–2562. 186 indexed citations
10.
Frey‐Law, Laura, et al.. (2010). Relationships between maximum holding time and ratings of pain and exertion differ for static and dynamic tasks. Applied Ergonomics. 42(1). 9–15. 31 indexed citations
11.
Lee, Jennifer E., David Watson, & Laura Frey‐Law. (2010). Lower-Order Pain-Related Constructs Are More Predictive of Cold Pressor Pain Ratings than Higher-Order Personality Traits. Journal of Pain. 11(7). 681–691. 46 indexed citations
12.
Lee, Jennifer E. & Kevin A. Hughes. (2010). Focused tourism needs focused monitoring. Antarctic Science. 22(1). 1–1. 14 indexed citations
13.
Chown, Steven L., Jennifer E. Lee, & Justine D. Shaw. (2008). Conservation of Southern Ocean Islands: invertebrates as exemplars. Journal of Insect Conservation. 12(3-4). 277–291. 38 indexed citations
14.
Yoon, Dustin Y., Andrew J. Kobets, Christina M. Morris, et al.. (2006). Dopaminergic polymorphisms in Tourette syndrome: Association with the DAT gene (SLC6A3). American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 144B(5). 605–610. 47 indexed citations

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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