Christopher J. Starr
Impact in
- Cognitive Neuroscience top 10%
- Pain Management and Placebo Effect
- Functional Brain Connectivity Studies
- Psychiatry and Mental health top 10%
- Psychosomatic Disorders and Their Treatments
- Migraine and Headache Studies
Papers in
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- Pain Management and Placebo Effect 4
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- Pain Mechanisms and Treatments 4
- Co-authors
- Robert C. Coghill (4 shared papers)Alexandre Silva de Quevedo (3 shared papers)Yoshitetsu Oshiro (2 shared papers)George F. Wittenberg (2 shared papers)Lumy Sawaki (2 shared papers)Jonathan H. Burdette (2 shared papers)John G. McHaffie (1 shared paper)Hadas Nahman‐Averbuch (1 shared paper)
- Journals
- Pain (1 paper)Journal of Pain (1 paper)Journal of Neuroscience (1 paper)Brain (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Christopher J. Starr
6 papers receiving 448 citations
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 247
- Psychiatry and Mental health 121
- Physiology 207
- Sensory Systems 31
- Pharmacology 85
Countries citing papers authored by Christopher J. Starr
This map shows the geographic impact of Christopher J. Starr'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 Christopher J. Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Starr more than expected).
Fields of papers citing papers by Christopher J. Starr
This network shows the impact of papers produced by Christopher J. Starr. 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 Christopher J. Starr. The network helps show where Christopher J. Starr may publish in the future.
Co-authors
The 23 scholars most cited alongside Christopher J. Starr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 207 | |
| 2 | 2011 | 124 | |
| 3 | 2013 | 93 | |
| 4 | 2010 | 22 | |
| 5 | 2019 | 7 | |
| 6 | 2021 | 3 |
About Christopher J. Starr
Christopher J. Starr is a scholar working on Cognitive Neuroscience, Physiology, Pharmacology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 6 papers that have together received 456 indexed citations. Recurring topics across this work include Pain Management and Placebo Effect (4 papers), Pain Mechanisms and Treatments (4 papers), Musculoskeletal pain and rehabilitation (2 papers), MRI in cancer diagnosis (2 papers), Heart Rate Variability and Autonomic Control (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Digital Radiography and Breast Imaging (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (247 citations), Psychiatry and Mental health (121 citations), Physiology (207 citations), Sensory Systems (31 citations) and Pharmacology (85 citations). Christopher J. Starr has collaborated with scholars based in United States and Israel. Frequent co-authors include Robert C. Coghill, Alexandre Silva de Quevedo, Yoshitetsu Oshiro, George F. Wittenberg, Lumy Sawaki, Jonathan H. Burdette, John G. McHaffie, Hadas Nahman‐Averbuch, David Yarnitsky and Katherine T. Martucci. Their work appears in journals such as Pain, Journal of Pain, Journal of Neuroscience, Brain 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.