Tom C. Hu

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

Impact in

Papers in

Tom C. Hu

34 papers receiving 1.4k citations

Peers

Tom C. Hu
Comparison fields: 5 of 115
  • Developmental Neuroscience 237
  • Radiology, Nuclear Medicine and Imaging 363
  • Radiation 127
  • Reproductive Medicine 101
  • Neurology 82
Replace Anaïck Moisan with:
Anaïck Moisan France
Yoshinaga Kajimoto Japan
Peter McL. Black United States
Chi‐Wei Chang Taiwan
Christian Brekken Norway
Carmelo Anile Italy
Lara Barazzuol Netherlands
Peter Grabham United States
Kazunori Suzuki Japan
Tatsuya Asai Japan
Tom C. Hu relative to Anaïck Moisan France Anaïck Moisan's profile →
Citations per field
00.5×10×16.8×
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 2009458
2 2014146
3 2001108
4 200587
5 201160
6 200156
7 201349
8 201649
9 200948
10 200944
11 200943
12 200436
13 200835
14 200731
15 200526
16 200923
17 201013
18 201013
19 202112
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, Pulmonary and Respiratory Medicine and Reproductive 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 (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), MRI in cancer diagnosis (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Lanthanide and Transition Metal Complexes (3 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Developmental Neuroscience (237 citations), Radiology, Nuclear Medicine and Imaging (363 citations), Radiation (127 citations), Reproductive Medicine (101 citations) and Neurology (82 citations). Tom C. Hu has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Alan P. Koretsky, Rhonda Bassel‐Duby, Ying Chen, Ye Feng, Rusty L. Montgomery, Jenny Hsieh, Hans Clevers, Hong Bu, Johan H. van Es and Eric N. Olson. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, Medical Physics, Clinical Cancer Research and Analytical and Bioanalytical Chemistry.

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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