Tom T. Chen
- Immunology and Allergy top 5%
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 1
- Molecular Biology top 10%
- Angiogenesis and VEGF in Cancer 4
- Cell Biology top 10%
- Biomaterials top 10%
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- Lymphatic System and Diseases 2
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- 3D Printing in Biomedical Research 2
- Bone Tissue Engineering Materials 1
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- Cholesterol and Lipid Metabolism 1
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- Veterinary Medicine and Surgery 1
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- Shape Memory Alloy Transformations 1
- Co-authors
- M. Luisa Iruela‐ArispeMaria C. JordanKenneth P. RoosNapoleone FerraraSunyoung LeeAndrás NagyChad L. BarberSharina Palencia Desai
- Journals
- Biomaterials (2 papers)The Journal of Cell Biology (1 paper)Journal of the American Veterinary Medical Association (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Tom T. Chen
9 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology and Allergy 120
- Cancer Research 261
- Molecular Biology 898
- Cell Biology 202
- Biomaterials 145
Countries citing papers authored by Tom T. Chen
This map shows the geographic impact of Tom T. Chen'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 T. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom T. Chen more than expected).
Fields of papers citing papers by Tom T. Chen
This network shows the impact of papers produced by Tom T. Chen. 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 T. Chen. The network helps show where Tom T. Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tom T. Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 5 | |
| 2 | 2012 | 100 | |
| 3 | 2011 | 44 | |
| 4 | 2010 | 248 | |
| 5 | 2009 | 78 | |
| 6 | Autocrine VEGF Signaling Is Required for Vascular Homeostasisbreakdown → | 2007 | 808 |
| 7 | 2006 | 70 | |
| 8 | 2006 | 35 | |
| 9 | 1999 | 2 |
About Tom T. Chen
Tom T. Chen is a scholar working on Immunology and Allergy, Speech and Hearing, Surfaces, Coatings and Films, Small Animals and Cancer Research, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Lymphatic System and Diseases (2 papers), 3D Printing in Biomedical Research (2 papers), Cholesterol and Lipid Metabolism (1 paper), Veterinary Medicine and Surgery (1 paper), Bone Tissue Engineering Materials (1 paper), Shape Memory Alloy Transformations (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Immunology and Allergy (120 citations), Cancer Research (261 citations), Molecular Biology (898 citations), Cell Biology (202 citations) and Biomaterials (145 citations). Tom T. Chen has collaborated with scholars based in United States, Canada and India. Frequent co-authors include M. Luisa Iruela‐Arispe, Maria C. Jordan, Kenneth P. Roos, Napoleone Ferrara, Sunyoung Lee, András Nagy, Chad L. Barber, Sharina Palencia Desai, Sean M. Anderson and Tatiana Segura. Their work appears in journals such as Biomaterials, The Journal of Cell Biology, Journal of the American Veterinary Medical Association, Integrative Biology and Arteriosclerosis Thrombosis and Vascular Biology.
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.