Mark Dunphy

3.5k citations
57 papers · 1.9k · h-index 22

Impact in

Papers in

Mark Dunphy

54 papers receiving 1.8k citations

Peers

Mark Dunphy
Comparison fields: 5 of 97
  • Radiology, Nuclear Medicine and Imaging 617
  • Cancer Research 386
  • Pulmonary and Respiratory Medicine 474
  • Genetics 158
  • Oncology 277
Replace Songji Zhao with:
Songji Zhao Japan
Christof Seidl Germany
Johannes Czernin United States
Serge K. Lyashchenko United States
Ellen Ackerstaff United States
Albert van der Kogel Netherlands
Bernard Aral France
Christoph A. Schatz Germany
W. Timothy Jenkins United States
Timothy D. Shafman United States
Mark Dunphy relative to Songji Zhao Japan Songji Zhao's profile →
Citations per field
00.5×1.5×2.1×
Songji Zhao · 1×
Citations per year

Countries citing papers authored by Mark Dunphy

Since Specialization
Citations

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

Fields of papers citing papers by Mark Dunphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Dunphy, 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 Mark Dunphy Line = papers co-authored together Mark Dunphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015257
2 2013236
3
Association of vascular 18F-FDG uptake with vascular calcification.
2005165
4 2014138
5 201697
6 201887
7 201284
8 200972
9 201366
10 202051
11 201551
12 201945
13 202040
14 201337
15 201535
16 201231
17 201830
18 201929
19 202028
20 202425

About Mark Dunphy

Mark Dunphy is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Cancer Research, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Cancer, Hypoxia, and Metabolism (9 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Glioma Diagnosis and Treatment (7 papers), Heat shock proteins research (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (617 citations), Cancer Research (386 citations), Pulmonary and Respiratory Medicine (474 citations), Genetics (158 citations) and Oncology (277 citations). Mark Dunphy has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Jason S. Lewis, H. William Strausś, Steven M. Larson, Sriram Venneti, Alvin H. Freiman, Pat Zanzonico, Abhijit Parolia, Serge K. Lyashchenko, Andreas Rimner and Michelle M. Kim. Their work appears in journals such as Journal of Clinical Oncology, Journal of Nuclear Medicine, Neuro-Oncology Advances, Journal of Thoracic Oncology and Clinical Lung Cancer.

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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