Tom T. Chen
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Angiogenesis and VEGF in Cancer 4
-
- 3D Printing in Biomedical Research 2
- Nanofabrication and Lithography Techniques 1
- Co-authors
- M. Luisa Iruela‐Arispe (6 shared papers)Sunyoung Lee (1 shared paper)András Nagy (1 shared paper)Kenneth P. Roos (1 shared paper)Maria C. Jordan (1 shared paper)Chad L. Barber (1 shared paper)Napoleone Ferrara (1 shared paper)Sharina Palencia Desai (1 shared paper)
- Journals
- Biomaterials (2 papers)Integrative Biology (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Cell (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Tom T. Chen
9 papers receiving 1.4k citations
Tom T. Chen's Hit Papers
Peers
Comparison fields: 5 of 103
- Immunology and Allergy 111
- Cancer Research 227
- Molecular Biology 829
- Cell Biology 192
- Biomaterials 140
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-authors
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 | Autocrine VEGF Signaling Is Required for Vascular Homeostasis Hit paper breakdown → | 2007 | 816 |
| 2 | 2010 | 250 | |
| 3 | 2012 | 100 | |
| 4 | 2009 | 78 | |
| 5 | 2006 | 71 | |
| 6 | 2011 | 44 | |
| 7 | 2006 | 34 | |
| 8 | 2020 | 6 | |
| 9 | 1999 | 2 |
About Tom T. Chen
Tom T. Chen is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Cellular and Molecular Neuroscience and Biomaterials, 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), 3D Printing in Biomedical Research (2 papers), Lymphatic System and Diseases (2 papers), Cell Adhesion Molecules Research (1 paper), Axon Guidance and Neuronal Signaling (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Nanofabrication and Lithography Techniques (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Immunology and Allergy (111 citations), Cancer Research (227 citations), Molecular Biology (829 citations), Cell Biology (192 citations) and Biomaterials (140 citations). Tom T. Chen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include M. Luisa Iruela‐Arispe, Sunyoung Lee, András Nagy, Kenneth P. Roos, Maria C. Jordan, Chad L. Barber, Napoleone Ferrara, Sharina Palencia Desai, Sean M. Anderson and Tatiana Segura. Their work appears in journals such as Biomaterials, Integrative Biology, Arteriosclerosis Thrombosis and Vascular Biology, Cell and PLoS ONE.
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.