Neil Chatterjee
Impact in
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- Pain Management and Treatment
- Cognitive Neuroscience top 10%
- Pain Management and Placebo Effect
Papers in
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- Radiomics and Machine Learning in Medical Imaging 3
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- Cerebrovascular and Carotid Artery Diseases 2
- Co-authors
- Sean Mackey (5 shared papers)Jarred Younger (3 shared papers)Sara C. Parke (1 shared paper)Arthur Aron (1 shared paper)Justin Brown (1 shared paper)Meredith Barad (1 shared paper)Takefumi Ueno (1 shared paper)Shyam Prabhakaran (4 shared papers)
- Journals
- Magnetic Resonance Imaging (3 papers)Journal of Pain (3 papers)Journal of Cardiovascular Magnetic Resonance (2 papers)Allergy (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesBelgiumAlgeria
In The Last Decade
Neil Chatterjee
19 papers receiving 576 citations
Peers
Comparison fields: 5 of 92
- Anesthesiology and Pain Medicine 77
- Cognitive Neuroscience 153
- Physiology 151
- Pharmacology 99
- Social Psychology 126
Countries citing papers authored by Neil Chatterjee
This map shows the geographic impact of Neil Chatterjee'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 Neil Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Chatterjee more than expected).
Fields of papers citing papers by Neil Chatterjee
This network shows the impact of papers produced by Neil Chatterjee. 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 Neil Chatterjee. The network helps show where Neil Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Neil Chatterjee, 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 | 2010 | 230 | |
| 2 | 2011 | 142 | |
| 3 | 2013 | 109 | |
| 4 | 2017 | 20 | |
| 5 | 2024 | 16 | |
| 6 | 2000 | 15 | |
| 7 | 2015 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2024 | 8 | |
| 10 | 2000 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2025 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2016 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2011 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2015 | 1 | |
| 19 | 2010 | 1 |
About Neil Chatterjee
Neil Chatterjee is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Health Informatics and Epidemiology, having authored 19 papers that have together received 606 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Pain Mechanisms and Treatments (3 papers), Acute Ischemic Stroke Management (3 papers), Pain Management and Placebo Effect (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (77 citations), Cognitive Neuroscience (153 citations), Physiology (151 citations), Pharmacology (99 citations) and Social Psychology (126 citations). Neil Chatterjee has collaborated with scholars based in United States, Belgium and Algeria. Frequent co-authors include Sean Mackey, Jarred Younger, Sara C. Parke, Arthur Aron, Justin Brown, Meredith Barad, Takefumi Ueno, Shyam Prabhakaran, Jungwha Lee and Chen Lin. Their work appears in journals such as Magnetic Resonance Imaging, Journal of Pain, Journal of Cardiovascular Magnetic Resonance, Allergy and PLoS ONE.
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.