Thomas E. Yankeelov

13.2k citations
257 papers · 8.0k indexed · 1 hit paper · h-index 49
Topics
MRI in cancer diagnosis (125 papers)Radiomics and Machine Learning in Medical Imaging (90 papers)Advanced MRI Techniques and Applications (72 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Thomas E. Yankeelov

252 papers receiving 7.9k citations

Hit Papers

Simulating the spread of COVID-19 via a spatially-resolve...2021202620222024202150100150

Peers

Thomas E. Yankeelov
Comparison fields: 5 of 162
  • Radiology, Nuclear Medicine and Imaging 5.0k
  • Modeling and Simulation 1.4k
  • Molecular Biology 1.0k
  • Oncology 1.0k
  • Biomedical Engineering 952
Replace Michael Milosevic with:
Michael Milosevic Canada
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Thomas E. Yankeelov relative to Michael Milosevic Canada Michael Milosevic's profile →
Citations per field
00.5×6.2×
Michael Milosevic · 1×
Citations per year

Countries citing papers authored by Thomas E. Yankeelov

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Yankeelov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Yankeelov. 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 Thomas E. Yankeelov. The network helps show where Thomas E. Yankeelov may publish in the future.

Co-authorship network of co-authors of Thomas E. Yankeelov

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 1
3 4
4 68
5 31
6 45
7 17
8 2
9 26
10 2
11 37
12 27
13 24
14 34
15 46
16 10
17 64
18 54
19 26
20 47

About Thomas E. Yankeelov

Thomas E. Yankeelov is a scholar working on Modeling and Simulation, Radiology, Nuclear Medicine and Imaging and Structural Biology, having authored 257 papers that have together received 8.0k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (125 papers), Radiomics and Machine Learning in Medical Imaging (90 papers) and Advanced MRI Techniques and Applications (72 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Radiology, Nuclear Medicine and Imaging (5.0k citations) and Cancer Research (916 citations). Thomas E. Yankeelov has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include John C. Gore, David A. Hormuth, Lori R. Arlinghaus, C. Chad Quarles, Jared A. Weis, Richard G. Abramson, Stephanie L. Barnes, Angela M. Jarrett, Jennifer G. Whisenant and Michael I. Miga. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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