Tom C. Hu

1.9k citations
37 papers · 1.4k · h-index 16

Impact in

Papers in

Tom C. Hu

35 papers receiving 1.4k citations

Peers

Tom C. Hu
Comparison fields: 5 of 114
  • Developmental Neuroscience 232
  • Radiology, Nuclear Medicine and Imaging 334
  • Radiation 126
  • Reproductive Medicine 96
  • Neurology 75
Replace Anaïck Moisan with:
Anaïck Moisan France
Sandeep Kunwar United States
Marcus Beck Germany
Lara Barazzuol Netherlands
Yoshinaga Kajimoto Japan
Tatsuya Asai Japan
Kevin A. Walter United States
Christian Brekken Norway
Peter Grabham United States
Markus Bergmann Germany
Tom C. Hu relative to Anaïck Moisan France Anaïck Moisan's profile →
Citations per field
00.5×10×15×19.2×
Anaïck Moisan · 1×
Citations per year

Countries citing papers authored by Tom C. Hu

Since Specialization
Citations

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

Fields of papers citing papers by Tom C. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom C. Hu. 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 Tom C. Hu. The network helps show where Tom C. Hu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009462
2 2014146
3 2001108
4 200587
5 201160
6 200156
7 201651
8 200949
9 201349
10 200944
11 200944
12 200436
13 200835
14 200731
15 200526
16 200923
17 201013
18 201013
19 202113
20 20129

About Tom C. Hu

Tom C. Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (15 papers), Cardiac Imaging and Diagnostics (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers), MRI in cancer diagnosis (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Coronary Interventions and Diagnostics (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Developmental Neuroscience (232 citations), Radiology, Nuclear Medicine and Imaging (334 citations), Radiation (126 citations), Reproductive Medicine (96 citations) and Neurology (75 citations). Tom C. Hu has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Alan P. Koretsky, Rusty L. Montgomery, Q. Richard Lu, Hong Bu, Makoto M. Taketo, Ying Chen, Hans Clevers, Rhonda Bassel‐Duby, Eric N. Olson and Johan H. van Es. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, Medical Physics, Clinical Cancer Research and Journal of Radiological Protection.

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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