Marc Kohli

5.0k total citations · 1 hit paper
68 papers, 3.1k citations indexed

About

Marc Kohli is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marc Kohli has authored 68 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Health Informatics and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marc Kohli's work include Radiology practices and education (26 papers), Artificial Intelligence in Healthcare and Education (24 papers) and Radiomics and Machine Learning in Medical Imaging (19 papers). Marc Kohli is often cited by papers focused on Radiology practices and education (26 papers), Artificial Intelligence in Healthcare and Education (24 papers) and Radiomics and Machine Learning in Medical Imaging (19 papers). Marc Kohli collaborates with scholars based in United States, Canada and Germany. Marc Kohli's co-authors include J. Raymond Geis, Sameer Antani, Luciano M. Prevedello, George R. Thoma, Clement J. McDonald, Sonya E. Shooshan, Dina Demner‐Fushman, Marc B. Rosenman, Laritza Rodriguez and Ross W. Filice and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Marc Kohli

63 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Preparing a collection of radiology examinations for distribution and retrieval

2015 576 citations Marc Kohli, Sameer Antani et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc Kohli United States	24	1.7k	986	832	433	424	68	3.1k
Luciano M. Prevedello United States	27	2.1k 1.2×	452 0.5×	590 0.7×	723 1.7×	146 0.3×	100	3.4k
Katherine P. Andriole United States	28	1.9k 1.1×	367 0.4×	346 0.4×	696 1.6×	191 0.5×	131	3.4k
Keith J. Dreyer United States	27	2.4k 1.4×	811 0.8×	1.3k 1.6×	670 1.5×	87 0.2×	99	3.7k
Garry Choy United States	25	1.4k 0.8×	238 0.2×	345 0.4×	643 1.5×	70 0.2×	50	2.5k
Charles E. Kahn United States	30	1.8k 1.0×	992 1.0×	541 0.7×	362 0.8×	277 0.7×	210	3.8k
Konstantinos Balaskas United Kingdom	31	2.2k 1.3×	590 0.6×	676 0.8×	303 0.7×	190 0.4×	136	3.8k
Bettina Baeßler Germany	30	3.0k 1.8×	516 0.5×	788 0.9×	1.0k 2.4×	103 0.2×	100	4.3k
Livia Faes United Kingdom	20	1.6k 0.9×	579 0.6×	651 0.8×	222 0.5×	163 0.4×	66	2.7k
Oleg S. Pianykh United States	17	879 0.5×	378 0.4×	385 0.5×	323 0.7×	197 0.5×	60	1.8k
Drew F. K. Williamson United States	18	1.1k 0.6×	1.5k 1.5×	454 0.5×	207 0.5×	412 1.0×	42	2.8k

Countries citing papers authored by Marc Kohli

Since Specialization

Citations

This map shows the geographic impact of Marc Kohli'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 Marc Kohli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Kohli more than expected).

Fields of papers citing papers by Marc Kohli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Kohli. 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 Marc Kohli. The network helps show where Marc Kohli may publish in the future.

Co-authorship network of co-authors of Marc Kohli

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

All Works

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20 of 20 papers shown

Kohli, Marc, et al.. (2025). Revolutionizing diabetes care: the role of artificial intelligence in prevention, diagnosis, and patient care. Journal of Diabetes & Metabolic Disorders. 24(1). 132–132. 2 indexed citations

Aggarwal, Manisha, et al.. (2025). Is Pneumonectomy Obsolete? Our Experience in the Current Clinical Landscape. Indian Journal of Surgical Oncology. 17(2). 361–367.

Woolen, Sean, Robert MacDougall, Benoît Scherrer, et al.. (2025). Hepatocellular Carcinoma Surveillance: Operational and Environmental Impact of Abbreviated MRI Protocols. Canadian Association of Radiologists Journal. 77(2). 361–368.

Burns, John L., Judy Wawira Gichoya, Marc Kohli, Josette Jones, & Saptarshi Purkayastha. (2024). Theory of radiologist interaction with instant messaging decision support tools: A sequential-explanatory study. SHILAP Revista de lepidopterología. 3(2). e0000297–e0000297. 1 indexed citations

Smith‐Bindman, Rebecca, Yifei Wang, Carly Stewart, et al.. (2024). Improving the Safety of Computed Tomography Through Automated Quality Measurement. Investigative Radiology. 59(8). 569–576. 3 indexed citations

Mongan, John, Marc Kohli, Roozbeh Houshyar, et al.. (2022). Automated detection of IVC filters on radiographs with deep convolutional neural networks. Abdominal Radiology. 48(2). 758–764. 2 indexed citations

Wiggins, Walter F., et al.. (2021). Imaging AI in Practice: A Demonstration of Future Workflow Using Integration Standards. Radiology Artificial Intelligence. 3(6). e210152–e210152. 24 indexed citations

Smith‐Bindman, Rebecca, Yifei Wang, Marc Kohli, et al.. (2021). An Image Quality–informed Framework for CT Characterization. Radiology. 302(2). 380–389. 17 indexed citations

Shih, George, Carol C. Wu, Safwan S. Halabi, et al.. (2019). Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia. Radiology Artificial Intelligence. 1(1). e180041–e180041. 181 indexed citations

10.

Rajaraman, Sivaramakrishnan, et al.. (2019). Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs. PubMed. 2019. 3689–3692. 12 indexed citations

11.

Geis, J. Raymond, Adrian P. Brady, Carol C. Wu, et al.. (2019). Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement. Radiology. 293(2). 436–440. 206 indexed citations

12.

Prevedello, Luciano M., Safwan S. Halabi, George Shih, et al.. (2019). Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions. Radiology Artificial Intelligence. 1(1). e180031–e180031. 107 indexed citations

13.

Halabi, Safwan S., Luciano M. Prevedello, Jayashree Kalpathy–Cramer, et al.. (2018). The RSNA Pediatric Bone Age Machine Learning Challenge. Radiology. 290(2). 498–503. 283 indexed citations

14.

Kohli, Marc, Dania Daye, Alexander J. Towbin, Amy L. Kotsenas, & Marta E. Heilbrun. (2018). Social Media Tools for Department and Practice Communication and Branding in the Digital Age. Radiographics. 38(6). 1773–1785. 29 indexed citations

15.

Langer, Steve G., et al.. (2018). Learning HL7 FHIR Using the HAPI FHIR Server and Its Use in Medical Imaging with the SIIM Dataset. Journal of Digital Imaging. 31(3). 334–340. 21 indexed citations

16.

Marcus, Sivan G., Marc Kohli, John Mongan, et al.. (2017). Association between misty mesentery with baseline or new diagnosis of cancer: a matched cohort study. Clinical Imaging. 50. 57–61. 1 indexed citations

17.

Gichoya, Judy Wawira, et al.. (2017). Proving Value in Radiology: Experience Developing and Implementing a Shareable Open Source Registry Platform Driven by Radiology Workflow. Journal of Digital Imaging. 30(5). 602–608. 2 indexed citations

18.

Kohli, Marc, Keith J. Dreyer, & J. Raymond Geis. (2015). The Imaging 3.0 Informatics Scorecard. Journal of the American College of Radiology. 12(4). 396–402. 6 indexed citations

19.

Kohli, Marc, et al.. (2010). What is a Wiki, and How Can it be Used in Resident Education?. Journal of Digital Imaging. 24(1). 170–175. 23 indexed citations

20.

Maglinte, Dean D. T., Marc Kohli, Stefania Romano, & John C. Lappas. (2009). Air (CO₂) Double-Contrast Barium Enteroclysis. Radiology. 252(3). 633–641. 13 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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