Theodore Chiang
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
- Molecular Biology top 10%
- TGF-β signaling in diseases
- Cancer-related gene regulation
- Kruppel-like factors research
Papers in
-
- Machine Learning in Bioinformatics 1
- TGF-β signaling in diseases 1
- RNA and protein synthesis mechanisms 1
- Genetics 6
- Genetics and Neurodevelopmental Disorders 3
- Genetic Associations and Epidemiology 2
- Genetic and rare skin diseases. 1
- Co-authors
- Tomoo Tsukazaki (1 shared paper)Jeffrey L. Wrana (1 shared paper)Liliana Attisano (1 shared paper)Lisa J. Strug (6 shared papers)Deb K. Pal (5 shared papers)Steven M. Wolf (3 shared papers)Edward J. Novotny (3 shared papers)H. Huntley Hardison (3 shared papers)
- Journals
- European Journal of Human Genetics (2 papers)Genes Brain & Behavior (1 paper)Bioinformatics (1 paper)Epigenetics (1 paper)Canadian Journal of Emergency Medicine (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Theodore Chiang
10 papers receiving 1.0k citations
Theodore Chiang's Hit Papers
Peers
Comparison fields: 5 of 86
- Immunology and Allergy 77
- Molecular Biology 803
- Cell Biology 174
- Genetics 159
- Oncology 155
Countries citing papers authored by Theodore Chiang
This map shows the geographic impact of Theodore Chiang'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 Theodore Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theodore Chiang more than expected).
Fields of papers citing papers by Theodore Chiang
This network shows the impact of papers produced by Theodore Chiang. 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 Theodore Chiang. The network helps show where Theodore Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Theodore Chiang, 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 | SARA, a FYVE Domain Protein that Recruits Smad2 to the TGFβ Receptor Hit paper breakdown → | 1998 | 757 |
| 2 | 2009 | 141 | |
| 3 | 2013 | 85 | |
| 4 | 2014 | 21 | |
| 5 | 2011 | 17 | |
| 6 | 2012 | 12 | |
| 7 | 2010 | 11 | |
| 8 | 2016 | 11 | |
| 9 | 2013 | 6 | |
| 10 | 2020 | 1 |
About Theodore Chiang
Theodore Chiang is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Genetic Associations and Epidemiology (2 papers), Genetic and rare skin diseases. (1 paper), Machine Learning in Bioinformatics (1 paper), Cystic Fibrosis Research Advances (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), TGF-β signaling in diseases (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Immunology and Allergy (77 citations), Molecular Biology (803 citations), Cell Biology (174 citations), Genetics (159 citations) and Oncology (155 citations). Theodore Chiang has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Tomoo Tsukazaki, Jeffrey L. Wrana, Liliana Attisano, Lisa J. Strug, Deb K. Pal, Steven M. Wolf, Edward J. Novotny, H. Huntley Hardison, David E. Mandelbaum and Tara Clarke. Their work appears in journals such as European Journal of Human Genetics, Genes Brain & Behavior, Bioinformatics, Epigenetics and Canadian Journal of Emergency Medicine.
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.