Neil Chatterjee

807 total citations
19 papers, 545 citations indexed

About

Neil Chatterjee is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Neil Chatterjee has authored 19 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Physiology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Neil Chatterjee's work include Pain Mechanisms and Treatments (4 papers), Cardiac Imaging and Diagnostics (4 papers) and Advanced MRI Techniques and Applications (4 papers). Neil Chatterjee is often cited by papers focused on Pain Mechanisms and Treatments (4 papers), Cardiac Imaging and Diagnostics (4 papers) and Advanced MRI Techniques and Applications (4 papers). Neil Chatterjee collaborates with scholars based in United States, Algeria and Belgium. Neil Chatterjee's co-authors include Sean Mackey, Jarred Younger, Sara C. Parke, Arthur Aron, Justin Brown, Meredith Barad, Takefumi Ueno, Jungwha Lee, Shyam Prabhakaran and Chen Lin and has published in prestigious journals such as PLoS ONE, Stroke and Radiology.

In The Last Decade

Neil Chatterjee

19 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil Chatterjee United States 8 188 161 141 105 85 19 545
Ishtiaq Mawla United States 15 227 1.2× 394 2.4× 264 1.9× 55 0.5× 61 0.7× 19 871
José Biurrun Manresa Denmark 14 416 2.2× 282 1.8× 349 2.5× 28 0.3× 64 0.8× 65 796
Cody Ashe-McNalley United States 17 323 1.7× 324 2.0× 117 0.8× 123 1.2× 12 0.1× 27 1.0k
Anson Kairys United States 11 221 1.2× 278 1.7× 326 2.3× 39 0.4× 33 0.4× 15 857
Kai Nitschke Germany 17 73 0.4× 296 1.8× 37 0.3× 92 0.9× 18 0.2× 25 614
Christina Chan New Zealand 14 141 0.8× 251 1.6× 96 0.7× 30 0.3× 21 0.2× 36 686
Jennifer Kemp France 10 97 0.5× 220 1.4× 43 0.3× 66 0.6× 17 0.2× 15 446
E. J. Moana-Filho United States 11 197 1.0× 165 1.0× 73 0.5× 22 0.2× 25 0.3× 22 536
Nirit Weiss United States 15 268 1.4× 357 2.2× 52 0.4× 22 0.2× 36 0.4× 25 681
Hrishikesh Deshpande United States 16 63 0.3× 534 3.3× 77 0.5× 73 0.7× 14 0.2× 29 793

Countries citing papers authored by Neil Chatterjee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Neil Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Chatterjee. A scholar is included among the top collaborators of Neil Chatterjee 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 Neil Chatterjee. Neil Chatterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Duda, Jeffrey, Ameena Elahi, Arijitt Borthakur, et al.. (2025). Automated Integration of AI Results into Radiology Reports Using Common Data Elements. Journal of Imaging Informatics in Medicine. 38(5). 2623–2629. 1 indexed citations
2.
Sagreiya, Hersh, Neil Chatterjee, Matthew T. MacLean, et al.. (2024). Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology. Radiology. 310(1). e223170–e223170. 15 indexed citations
3.
Chatterjee, Neil, James C. Gee, Ameena Elahi, et al.. (2024). A Cloud-Based System for Automated AI Image Analysis and Reporting. Journal of Imaging Informatics in Medicine. 38(1). 368–379. 5 indexed citations
4.
Lin, Chen, Neil Chatterjee, Jungwha Lee, Richard L. Harvey, & Shyam Prabhakaran. (2019). Predictive value of the combination of lesion location and volume of ischemic infarction with rehabilitation outcomes. Neuroradiology. 61(10). 1131–1136. 6 indexed citations
5.
Lin, Chen, Rajbeer Singh Sangha, Jungwha Lee, et al.. (2018). Infarct location is associated with quality of life after mild ischemic stroke. International Journal of Stroke. 13(8). 824–831. 13 indexed citations
6.
Lin, Chen, Jungwha Lee, Neil Chatterjee, et al.. (2017). Predicting Domain-Specific Health-Related Quality of Life Using Acute Infarct Volume. Stroke. 48(7). 1925–1931. 20 indexed citations
7.
Chatterjee, Neil, Brandon Benefield, Kathleen R. Harris, et al.. (2016). An empirical method for reducing variability and complexity of myocardial perfusion quantification by dual bolus cardiac MRI. Magnetic Resonance in Medicine. 77(6). 2347–2355. 5 indexed citations
8.
Bane, Octavia, Sanjiv J. Shah, Michael J. Cuttica, et al.. (2015). A non-invasive assessment of cardiopulmonary hemodynamics with MRI in pulmonary hypertension. Magnetic Resonance Imaging. 33(10). 1224–1235. 10 indexed citations
9.
Chatterjee, Neil, Sameer A. Ansari, Parmede Vakil, et al.. (2015). Automated analysis of perfusion weighted MRI using asymmetry in vascular territories. Magnetic Resonance Imaging. 33(5). 618–623. 4 indexed citations
10.
Allen, Bradley D., Neil Chatterjee, Benjamin H. Freed, et al.. (2015). Stress perfusion cardiac MRI with regadenoson and gadofoveset trisodium. Journal of Cardiovascular Magnetic Resonance. 17. P113–P113. 1 indexed citations
11.
Bane, Octavia, Daniel Lee, Brandon Benefield, et al.. (2013). Leakage and water exchange characterization of gadofosveset in the myocardium. Magnetic Resonance Imaging. 32(3). 224–235. 4 indexed citations
12.
Barad, Meredith, Takefumi Ueno, Jarred Younger, Neil Chatterjee, & Sean Mackey. (2013). Complex Regional Pain Syndrome Is Associated With Structural Abnormalities in Pain-Related Regions of the Human Brain. Journal of Pain. 15(2). 197–203. 105 indexed citations
13.
Brown, Justin, Neil Chatterjee, Jarred Younger, & Sean Mackey. (2011). Towards a Physiology-Based Measure of Pain: Patterns of Human Brain Activity Distinguish Painful from Non-Painful Thermal Stimulation. PLoS ONE. 6(9). e24124–e24124. 133 indexed citations
14.
Weale, Peter, Christoph Guetter, Jeremy D. Collins, et al.. (2011). A novel, automated method for measuring mitral valve annular velocity from standard cine TrueFISP data - a feasibility study. Journal of Cardiovascular Magnetic Resonance. 13(S1). 2 indexed citations
15.
Johnson, Kevin A., et al.. (2011). Effects of duloxetine and placebo in patients with chronic low back pain. Journal of Pain. 12(4). P49–P49. 2 indexed citations
16.
Younger, Jarred, Arthur Aron, Sara C. Parke, Neil Chatterjee, & Sean Mackey. (2010). Viewing Pictures of a Romantic Partner Reduces Experimental Pain: Involvement of Neural Reward Systems. PLoS ONE. 5(10). e13309–e13309. 197 indexed citations
17.
Chatterjee, Neil, et al.. (2010). Duloxetine and placebo alter different gray matter regions in chronic low back pain patients. Journal of Pain. 11(4). S40–S40. 1 indexed citations
18.
19.
Fadel, R., et al.. (2000). Cetirizine inhibits bradykinin‐induced cutaneous wheal and flare in atopic and healthy subjects. Allergy. 55(4). 382–385. 14 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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