Matt Cham

3.4k citations
76 papers · 2.7k · h-index 26

Impact in

Papers in

Matt Cham

72 papers receiving 2.7k citations

Peers

Matt Cham
Comparison fields: 5 of 90
  • Internal Medicine 300
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Cardiology and Cardiovascular Medicine 643
  • Critical Care and Intensive Care Medicine 133
  • Pulmonary and Respiratory Medicine 489
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Amish N. Raval United States
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Robert‐Jan van Suylen Netherlands
Servet Tatlı United States
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Citations per field
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Citations per year

Countries citing papers authored by Matt Cham

Since Specialization
Citations

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

Fields of papers citing papers by Matt Cham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matt Cham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matt Cham Line = papers co-authored together Matt Cham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001296
2 2010253
3 2000213
4 2009178
5 2014140
6 2009125
7 2012108
8 2009100
9 200089
10 201470
11 200769
12 200865
13 200565
14 201561
15 201358
16 200854
17 201149
18 200847
19 200847
20 200847

About Matt Cham

Matt Cham is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery, having authored 76 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (19 papers), Lung Cancer Diagnosis and Treatment (13 papers), Advanced X-ray and CT Imaging (7 papers), Advanced MRI Techniques and Applications (7 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac tumors and thrombi (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Internal Medicine (300 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Cardiology and Cardiovascular Medicine (643 citations), Critical Care and Intensive Care Medicine (133 citations) and Pulmonary and Respiratory Medicine (489 citations). Matt Cham has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Claudia I. Henschke, David F. Yankelevitz, Jonathan W. Weinsaft, Frederick J. Miller, Alexey L. Khodjakov, Greenfield Sluder, Edward H. Hinchcliffe, Rowena Yip, Dorith Shaham and Noel Codella. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Radiology, Journal of Magnetic Resonance Imaging, JACC. Cardiovascular imaging and American Journal of Roentgenology.

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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