Thomas Yu

6.4k citations
31 papers · 524 · h-index 13

Impact in

Papers in

Thomas Yu

28 papers receiving 511 citations

Peers

Thomas Yu
Comparison fields: 5 of 99
  • Otorhinolaryngology 36
  • Obstetrics and Gynecology 51
  • Neurology 95
  • Periodontics 19
  • Health Informatics 5
Replace Fatih Mehmet Yazar with:
Fatih Mehmet Yazar Türkiye
Kavous Firouznia Iran
Takuro Horikoshi Japan
Yoshiaki Ota United States
Pamela Mason United States
Pertti Ryymin Finland
Kunihiko Haráda Japan
J. Hedderich Germany
Jin Woong Choi South Korea
Thomas Yu relative to Fatih Mehmet Yazar Türkiye Fatih Mehmet Yazar's profile →
Citations per field
00.5×7.3×
Fatih Mehmet Yazar · 1×
Citations per year

Countries citing papers authored by Thomas Yu

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994110
2 202163
3
Delays in diagnosis of head and neck cancers.
200856
4 202251
5 200734
6
Women's decision-making determinants in choosing uterine artery embolization for symptomatic fibroids.
200130
7 202029
8 202121
9 200919
10 201717
11 202115
12 199612
13 202112
14 202110
15 20227
16 20206
17 20236
18 20255
19 20225
20 20185

About Thomas Yu

Thomas Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Nuclear and High Energy Physics and Civil and Structural Engineering, having authored 31 papers that have together received 524 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (6 papers), NMR spectroscopy and applications (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Medical Imaging Techniques and Applications (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Otorhinolaryngology (36 citations), Obstetrics and Gynecology (51 citations), Neurology (95 citations), Periodontics (19 citations) and Health Informatics (5 citations). Thomas Yu has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Tracy K. McIntosh, Thomas A. Gennarelli, Robert E. Wood, Howard C. Tenenbaum, Noah Scheinfeld, Jean‐Philippe Thiran, Nicole Nevadunsky, Gloria Bachmann, John L. Nosher and Tom Hilbert. Their work appears in journals such as Medical Image Analysis, Magnetic Resonance in Medicine, Scientific Reports, Journal of the American Medical Informatics Association and NeuroImage.

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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