Tom C. Hu

1.9k total citations
37 papers, 1.4k citations indexed

About

Tom C. Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tom C. Hu has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tom C. Hu's work include Advanced MRI Techniques and Applications (15 papers), Cardiac Imaging and Diagnostics (9 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Tom C. Hu is often cited by papers focused on Advanced MRI Techniques and Applications (15 papers), Cardiac Imaging and Diagnostics (9 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Tom C. Hu collaborates with scholars based in United States, United Kingdom and Japan. Tom C. Hu's co-authors include Alan P. Koretsky, Hans Clevers, Johan H. van Es, Jenny Hsieh, Ye Feng, Ying Chen, Q. Richard Lu, Makoto M. Taketo, Hong Bu and Rusty L. Montgomery and has published in prestigious journals such as Nature Neuroscience, Cancer Research and Clinical Cancer Research.

In The Last Decade

Tom C. Hu

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom C. Hu United States 16 505 363 237 203 146 37 1.4k
Anaïck Moisan France 19 418 0.8× 193 0.5× 134 0.6× 165 0.8× 135 0.9× 33 1.2k
Chi‐Wei Chang Taiwan 21 452 0.9× 392 1.1× 30 0.1× 167 0.8× 284 1.9× 60 1.5k
Peter Grabham United States 19 517 1.0× 143 0.4× 77 0.3× 134 0.7× 193 1.3× 37 1.3k
Yoshinaga Kajimoto Japan 28 293 0.6× 434 1.2× 102 0.4× 470 2.3× 114 0.8× 89 2.1k
Christian Brekken Norway 19 415 0.8× 305 0.8× 60 0.3× 134 0.7× 176 1.2× 28 1.5k
Peter McL. Black United States 18 534 1.1× 246 0.7× 100 0.4× 256 1.3× 255 1.7× 23 1.7k
Tatsuya Asai Japan 19 477 0.9× 163 0.4× 47 0.2× 179 0.9× 156 1.1× 39 1.3k
Emanuela Pasquali Italy 19 446 0.9× 389 1.1× 33 0.1× 244 1.2× 81 0.6× 43 1.0k
W. Calvo Germany 18 260 0.5× 349 1.0× 83 0.4× 283 1.4× 49 0.3× 69 1.5k
Roberto J. Diaz Canada 25 572 1.1× 210 0.6× 277 1.2× 210 1.0× 140 1.0× 67 2.2k

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-authorship network of co-authors of Tom C. Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Tom C. Hu. A scholar is included among the top collaborators of Tom C. Hu 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 Tom C. Hu. Tom C. Hu 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
1.
Hu, Tom C., et al.. (2024). Cystic Neutrophilic Granulomatous Mastitis: Imaging Features With Histopathologic Correlation. Journal of Breast Imaging. 7(2). 204–213.
2.
Gibbs, Seth, Carol E. Green, Lalitha Iyer, et al.. (2023). Granulocyte Colony-Stimulating Factor (Neupogen®; Filgrastim) Accelerates Neutrophil Recovery in a Rodent Model of Sulfur Mustard-Induced Hematologic Toxicity. Disaster Medicine and Public Health Preparedness. 17. e550–e550.
3.
4.
Pantazides, Brooke G., Brian S. Crow, Jonas W. Perez, et al.. (2021). Development of a clinical assay to measure chlorinated tyrosine in hair and tissue samples using a mouse chlorine inhalation exposure model. Analytical and Bioanalytical Chemistry. 413(6). 1765–1776. 12 indexed citations
5.
Yoo, Stephen, Timothy J. Jorgensen, Ann R. Kennedy, et al.. (2014). Mitigating the risk of radiation-induced cancers: limitations and paradigms in drug development. Journal of Radiological Protection. 34(2). R25–R52. 146 indexed citations
6.
Wu, Rong, et al.. (2013). Type I to Type II Ovarian Carcinoma Progression. American Journal Of Pathology. 182(4). 1391–1399. 49 indexed citations
7.
Wu, Rong, Tom C. Hu, Alnawaz Rehemtulla, Eric R. Fearon, & Kathleen R. Cho. (2011). Preclinical Testing of PI3K/AKT/mTOR Signaling Inhibitors in a Mouse Model of Ovarian Endometrioid Adenocarcinoma. Clinical Cancer Research. 17(23). 7359–7372. 60 indexed citations
8.
Yang, Yuhui, et al.. (2011). Monitoring bone marrow-originated mesenchymal stem cell traffic to myocardial infarction sites using magnetic resonance imaging. Magnetic Resonance in Medicine. 65(5). 1430–1436. 6 indexed citations
9.
Liu, Jimei, et al.. (2011). Assessment of cell infiltration in myocardial infarction: A dose‐dependent study using micrometer‐sized iron oxide particles. Magnetic Resonance in Medicine. 66(5). 1353–1361. 7 indexed citations
10.
11.
Hu, Tom C., Kai‐Hsiang Chuang, N. E. Yanasak, & Alan P. Koretsky. (2010). Relationship between blood and myocardium manganese levels during manganese‐enhanced MRI (MEMRI) with T1 mapping in rats. NMR in Biomedicine. 24(1). 46–53. 13 indexed citations
12.
Feng, Ye, Ying Chen, Rusty L. Montgomery, et al.. (2009). HDAC1 and HDAC2 regulate oligodendrocyte differentiation by disrupting the β-catenin–TCF interaction. Nature Neuroscience. 12(7). 829–838. 458 indexed citations
13.
Yanasak, N. E., Jerry D. Allison, Tom C. Hu, & Qun Zhao. (2009). The use of novel gradient directions with DTI to synthesize data with complicated diffusion behavior. Medical Physics. 36(5). 1875–1885. 4 indexed citations
14.
Yang, Yuhui, et al.. (2009). Assessing manganese efflux using SEA0400 and cardiac T1‐mapping manganese‐enhanced MRI in a murine model. NMR in Biomedicine. 22(8). 874–881. 23 indexed citations
15.
Li, Shuyi, Hairong Xiong, Tom C. Hu, et al.. (2009). Porous-wall hollow glass microspheres as novel potential nanocarriers for biomedical applications. Nanomedicine Nanotechnology Biology and Medicine. 6(1). 127–136. 48 indexed citations
16.
Yang, Yuhui, et al.. (2009). Temporal and noninvasive monitoring of inflammatory‐cell infiltration to myocardial infarction sites using micrometer‐sized iron oxide particles. Magnetic Resonance in Medicine. 63(1). 33–40. 44 indexed citations
17.
Yanasak, N. E., Jerry D. Allison, Qun Zhao, Tom C. Hu, & Krishnan M. Dhandapani. (2008). Non-uniform Gradient Prescription for Precise Angular Measurements Using DTI. Lecture notes in computer science. 11(Pt 1). 866–873. 1 indexed citations
18.
Jucker, Beat M., Christopher Doe, Christine G. Schnackenberg, et al.. (2007). PPARδ Activation Normalizes Cardiac Substrate Metabolism and Reduces Right Ventricular Hypertrophy in Congestive Heart Failure. Journal of Cardiovascular Pharmacology. 50(1). 25–34. 31 indexed citations
19.
Hu, Tom C., Timothy F. Christian, Anthony H. Aletras, et al.. (2005). Manganese enhanced magnetic resonance imaging of normal and ischemic canine heart. Magnetic Resonance in Medicine. 54(1). 196–200. 26 indexed citations
20.
Hu, Tom C., Robia G. Pautler, Guy A. MacGowan, & Alan P. Koretsky. (2001). Manganese‐enhanced MRI of mouse heart during changes in inotropy†. Magnetic Resonance in Medicine. 46(5). 884–890. 108 indexed citations

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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