Kathryn T. Hall
- Cognitive Neuroscience top 5%
- Molecular Biology
- Physiology top 10%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Ted J. KaptchukJoseph LoscalzoIrving KirschAnthony LemboMartin RitzénLaurence BoumsellJoachim L. SchultzeAngelo A. Cardoso
- Topics
- Pain Management and Placebo Effect (24 papers)Complementary and Alternative Medicine Studies (8 papers)Acupuncture Treatment Research Studies (5 papers)
- Cited by
- Cognitive NeuroscienceComplementary and alternative medicineAnesthesiology and Pain Medicine
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Kathryn T. Hall
54 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 140
- Cognitive Neuroscience 566
- Molecular Biology 503
- Physiology 247
- Psychiatry and Mental health 241
- Cellular and Molecular Neuroscience 232
Countries citing papers authored by Kathryn T. Hall
This map shows the geographic impact of Kathryn T. Hall'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 Kathryn T. Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn T. Hall more than expected).
Fields of papers citing papers by Kathryn T. Hall
This network shows the impact of papers produced by Kathryn T. Hall. 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 Kathryn T. Hall. The network helps show where Kathryn T. Hall may publish in the future.
Co-authorship network of co-authors of Kathryn T. Hall
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn T. Hall. A scholar is included among the top collaborators of Kathryn T. Hall 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 Kathryn T. Hall. Kathryn T. Hall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 19 | |
| 8 | 12 | |
| 9 | 48 | |
| 10 | 14 | |
| 11 | 21 | |
| 12 | 6 | |
| 13 | 71 | |
| 14 | 159 | |
| 15 | 38 | |
| 16 | 79 | |
| 17 | 12 | |
| 18 | 153 | |
| 19 | Genomic imprinting: causes and consequences. | 75 |
| 20 | 26 |
About Kathryn T. Hall
Kathryn T. Hall is a scholar working on Cognitive Neuroscience, Complementary and alternative medicine and Anesthesiology and Pain Medicine, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pain Management and Placebo Effect (24 papers), Complementary and Alternative Medicine Studies (8 papers) and Acupuncture Treatment Research Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (566 citations), Complementary and alternative medicine (204 citations) and Anesthesiology and Pain Medicine (94 citations). Kathryn T. Hall has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ted J. Kaptchuk, Joseph Loscalzo, Irving Kirsch, Anthony Lembo, Martin Ritzén, Laurence Boumsell, Joachim L. Schultze, Angelo A. Cardoso, L M Nadler and David M. Dorfman. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.