Paul Geha
- Physiology top 0.5%
- Cognitive Neuroscience top 1%
- Pharmacology top 0.2%
- Psychiatry and Mental health top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- A. Vania ApkarianMarwan N. BalikiDante R. ChialvoR. Norman HardenTodd B. ParrishChadi G. AbdallahHoward L. FieldsRobert M. Levy
- Topics
- Pain Mechanisms and Treatments (21 papers)Musculoskeletal pain and rehabilitation (20 papers)Pain Management and Placebo Effect (14 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Paul Geha
35 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Physiology 2.2k
- Cognitive Neuroscience 1.9k
- Pharmacology 1.7k
- Psychiatry and Mental health 700
- Cellular and Molecular Neuroscience 596
Countries citing papers authored by Paul Geha
This map shows the geographic impact of Paul Geha'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 Paul Geha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Geha more than expected).
Fields of papers citing papers by Paul Geha
This network shows the impact of papers produced by Paul Geha. 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 Paul Geha. The network helps show where Paul Geha may publish in the future.
Co-authorship network of co-authors of Paul Geha
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Geha. A scholar is included among the top collaborators of Paul Geha 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 Paul Geha. Paul Geha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 24 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 209 | |
| 9 | 34 | |
| 10 | 48 | |
| 11 | 56 | |
| 12 | 44 | |
| 13 | 441 | |
| 14 | Beyond Feeling: Chronic Pain Hurts the Brain, Disrupting the Default-Mode Network Dynamicsbreakdown → | 642 |
| 15 | 78 | |
| 16 | 403 | |
| 17 | Towards a theory of chronic painbreakdown → | 592 |
| 18 | 146 | |
| 19 | Chronic Pain and the Emotional Brain: Specific Brain Activity Associated with Spontaneous Fluctuations of Intensity of Chronic Back Painbreakdown → | 573 |
| 20 | 12 |
About Paul Geha
Paul Geha is a scholar working on Cognitive Neuroscience, Pharmacology and Anesthesiology and Pain Medicine, having authored 40 papers that have together received 4.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Musculoskeletal pain and rehabilitation (20 papers) and Pain Management and Placebo Effect (14 papers). The work is most often cited by research in Pharmacology (1.7k citations), Cognitive Neuroscience (1.9k citations) and Physiology (2.2k citations). Paul Geha has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include A. Vania Apkarian, Marwan N. Baliki, Dante R. Chialvo, R. Norman Harden, Todd B. Parrish, Chadi G. Abdallah, Howard L. Fields, Robert M. Levy, Dana M. Small and William R. Bauer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.