Paul Geha

5.8k total citations · 3 hit papers
40 papers, 4.3k citations indexed

About

Paul Geha is a scholar working on Cognitive Neuroscience, Pharmacology and Physiology. According to data from OpenAlex, Paul Geha has authored 40 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 22 papers in Pharmacology and 21 papers in Physiology. Recurrent topics in Paul Geha's work include Pain Mechanisms and Treatments (21 papers), Musculoskeletal pain and rehabilitation (20 papers) and Pain Management and Placebo Effect (14 papers). Paul Geha is often cited by papers focused on Pain Mechanisms and Treatments (21 papers), Musculoskeletal pain and rehabilitation (20 papers) and Pain Management and Placebo Effect (14 papers). Paul Geha collaborates with scholars based in United States, Germany and Canada. Paul Geha's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Paul Geha

35 papers receiving 4.3k citations

Hit Papers

Beyond Feeling: Chronic Pain Hurts the Brain, Disrupting ... 2006 2026 2012 2019 2008 2008 2006 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul Geha United States 23 2.2k 1.9k 1.7k 700 596 40 4.3k
L. Q. Huang United States 22 1.7k 0.8× 1.4k 0.8× 1.3k 0.8× 628 0.9× 427 0.7× 37 3.3k
Markus Ploner Germany 40 3.0k 1.4× 4.2k 2.2× 1.1k 0.7× 1.1k 1.6× 685 1.1× 93 6.5k
Marta Čeko United States 22 1.3k 0.6× 1.2k 0.7× 918 0.6× 735 1.1× 386 0.6× 35 3.1k
Tobias Schmidt‐Wilcke Germany 42 1.7k 0.8× 2.1k 1.1× 1.7k 1.0× 2.1k 3.0× 359 0.6× 120 5.4k
B. Laurent France 23 3.5k 1.6× 2.1k 1.1× 1.2k 0.7× 1.0k 1.5× 484 0.8× 64 5.7k
Joshua A. Bueller United States 21 1.9k 0.9× 1.9k 1.0× 819 0.5× 749 1.1× 891 1.5× 27 4.8k
Kenneth L. Casey United States 33 3.0k 1.4× 2.8k 1.5× 1.1k 0.7× 917 1.3× 931 1.6× 82 5.3k
Ruth Ruscheweyh Germany 33 2.2k 1.0× 947 0.5× 875 0.5× 1.2k 1.7× 1.0k 1.7× 130 4.5k
Jon-Kar Zubieta United States 25 1.5k 0.7× 1.9k 1.0× 752 0.5× 835 1.2× 1.0k 1.8× 49 4.5k
Timothy J. Ness United States 49 4.0k 1.8× 1.2k 0.6× 1.5k 0.9× 679 1.0× 1.2k 2.0× 169 7.6k

Countries citing papers authored by Paul Geha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Becker, Susanne, et al.. (2025). Loss of effort in chronic low-back pain patients: Motivational anhedonia in chronic pain. PLoS ONE. 20(8). e0317980–e0317980.
2.
Lee, Noah, Martin Löffler, Md Nasir Uddin, et al.. (2024). A multisite validation of brain white matter pathways of resilience to chronic back pain. eLife. 13.
3.
Markman, John D., et al.. (2024). Multidevice spinal cord stimulation trials: shared decision making in the era of multiple neuromodulation paradigms. Pain Management. 14(8). 413–420. 2 indexed citations
4.
Lee, Noah, Martin Löffler, Md Nasir Uddin, et al.. (2024). A multisite validation of brain white matter pathways of resilience to chronic back pain. eLife. 13.
5.
Zhang, Zhengwu, Jennifer S. Gewandter, & Paul Geha. (2022). Brain Imaging Biomarkers for Chronic Pain. Frontiers in Neurology. 12. 734821–734821. 24 indexed citations
6.
Lin, Yezhe, et al.. (2022). Chronic pain precedes disrupted eating behavior in low-back pain patients. PLoS ONE. 17(2). e0263527–e0263527. 15 indexed citations
7.
Lin, Yezhe, et al.. (2021). Brain Structure and Function of Chronic Low Back Pain Patients on Long-Term Opioid Analgesic Treatment: A Preliminary Study. Molecular Pain. 17. 2227794714–2227794714. 10 indexed citations
8.
Abdallah, Chadi G., Lynnette A. Averill, Katherine A. Collins, et al.. (2016). Ketamine Treatment and Global Brain Connectivity in Major Depression. Neuropsychopharmacology. 42(6). 1210–1219. 209 indexed citations
9.
Geha, Paul, et al.. (2014). Decreased food pleasure and disrupted satiety signals in chronic low back pain. Pain. 155(4). 712–722. 34 indexed citations
10.
Matuskey, David, Zubin Bhagwagar, Beata Planeta, et al.. (2013). Reductions in Brain 5-HT1B Receptor Availability in Primarily Cocaine-Dependent Humans. Biological Psychiatry. 76(10). 816–822. 48 indexed citations
11.
Geha, Paul, Katja Aschenbrenner, Jennifer Felsted, Stephanie S. O’Malley, & Dana M. Small. (2012). Altered hypothalamic response to food in smokers. American Journal of Clinical Nutrition. 97(1). 15–22. 56 indexed citations
12.
Veldhuizen, Maria G., et al.. (2012). Midbrain response to milkshake correlates with ad libitum milkshake intake in the absence of hunger. Appetite. 60(1). 168–174. 44 indexed citations
13.
Baliki, Marwan N., Paul Geha, Howard L. Fields, & A. Vania Apkarian. (2010). Predicting Value of Pain and Analgesia: Nucleus Accumbens Response to Noxious Stimuli Changes in the Presence of Chronic Pain. Neuron. 66(1). 149–160. 441 indexed citations
14.
Baliki, Marwan N., Paul Geha, A. Vania Apkarian, & Dante R. Chialvo. (2008). Beyond Feeling: Chronic Pain Hurts the Brain, Disrupting the Default-Mode Network Dynamics. Journal of Neuroscience. 28(6). 1398–1403. 642 indexed citations breakdown →
15.
Geha, Paul, et al.. (2008). Brain dynamics for perception of tactile allodynia (touch-induced pain) in postherpetic neuralgia. Pain. 138(3). 641–656. 78 indexed citations
16.
Geha, Paul, Marwan N. Baliki, R. Norman Harden, et al.. (2008). The Brain in Chronic CRPS Pain: Abnormal Gray-White Matter Interactions in Emotional and Autonomic Regions. Neuron. 60(4). 570–581. 403 indexed citations
17.
Apkarian, A. Vania, Marwan N. Baliki, & Paul Geha. (2008). Towards a theory of chronic pain. Progress in Neurobiology. 87(2). 81–97. 592 indexed citations breakdown →
18.
Geha, Paul, et al.. (2006). Brain activity for spontaneous pain of postherpetic neuralgia and its modulation by lidocaine patch therapy. Pain. 128(1). 88–100. 146 indexed citations
19.
Baliki, Marwan N., Dante R. Chialvo, Paul Geha, et al.. (2006). Chronic Pain and the Emotional Brain: Specific Brain Activity Associated with Spontaneous Fluctuations of Intensity of Chronic Back Pain. Journal of Neuroscience. 26(47). 12165–12173. 573 indexed citations breakdown →
20.
Geha, Paul & A. Vania Apkarian. (2005). Brain imaging findings in neuropathic pain. Current Pain and Headache Reports. 9(3). 184–188. 12 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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