Robert K. Doot

2.6k citations
73 papers · 1.9k · h-index 25

Impact in

Papers in

    • Medical Imaging Techniques and Applications 39
    • Radiomics and Machine Learning in Medical Imaging 17
    • Radiopharmaceutical Chemistry and Applications 11
    • MRI in cancer diagnosis 8
    • Advanced MRI Techniques and Applications 4
    • PARP inhibition in cancer therapy 7

Robert K. Doot

70 papers receiving 1.9k citations

Peers

Robert K. Doot
Comparison fields: 5 of 112
  • Radiology, Nuclear Medicine and Imaging 901
  • Condensed Matter Physics 209
  • Cell Biology 229
  • Cancer Research 169
  • Oncology 264
Replace Costas Arvanitis with:
Costas Arvanitis United States
Jonas Persson Sweden
Paula J. Foster Canada
William L. Hwang United States
Won Hoon Choi South Korea
Kristin M. Riching United States
Simon Walker‐Samuel United Kingdom
Carsten H. Nielsen Denmark
Koichi Nagata Japan
Anca Constantinescu United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert K. Doot

Since Specialization
Citations

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

Fields of papers citing papers by Robert K. Doot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert K. Doot. 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 Robert K. Doot. The network helps show where Robert K. Doot may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005142
2 2008121
3 2003119
4 2018108
5 2004103
6 201091
7 201186
8 201279
9 201065
10 201758
11 201058
12 200652
13 201052
14 201152
15 201551
16 200939
17 202036
18 201034
19 200829
20 201929

About Robert K. Doot

Robert K. Doot is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (39 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Radiopharmaceutical Chemistry and Applications (11 papers), MRI in cancer diagnosis (8 papers), PARP inhibition in cancer therapy (7 papers), Glioma Diagnosis and Treatment (6 papers), Prostate Cancer Treatment and Research (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (901 citations), Condensed Matter Physics (209 citations), Cell Biology (229 citations), Cancer Research (169 citations) and Oncology (264 citations). Robert K. Doot has collaborated with scholars based in United States, Belgium and Ireland. Frequent co-authors include David A. Mankoff, Paul E. Kinahan, Henry Hess, Viola Vogel, John Clemmens, Erin K. Schubert, Brenda F. Kurland, Hannah M. Linden, Mark Muzi and Jennifer M. Specht. Their work appears in journals such as Journal of Nuclear Medicine, Journal of Clinical Oncology, Translational Oncology, Cancer Research and Medical Physics.

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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