T Guan
Impact in
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- Nuclear Structure and Function
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA regulation and disease
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
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- Microtubule and mitosis dynamics
Papers in
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- Nuclear Structure and Function 5
- RNA Research and Splicing 5
- RNA modifications and cancer 2
- Protein purification and stability 1
- Glycosylation and Glycoproteins Research 1
- Mitochondrial Function and Pathology 1
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- Monoclonal and Polyclonal Antibodies Research 1
- Co-authors
- Larry Gerace (5 shared papers)Ting Hu (1 shared paper)Frauke Melchior (2 shared papers)T. Nishimoto (1 shared paper)Ueli Aebi (2 shared papers)Nobuhiko Yokoyama (1 shared paper)Nelly Panté (2 shared papers)Bryce M. Paschal (2 shared papers)
- Journals
- The Journal of Cell Biology (3 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Molecular Biology of the Cell (1 paper)Journal of Bacteriology (1 paper)Industrial Crops and Products (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
T Guan
7 papers receiving 540 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 516
- Cell Biology 71
- Structural Biology 6
- Virology 11
- Genetics 44
Countries citing papers authored by T Guan
This map shows the geographic impact of T Guan'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 T Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Guan more than expected).
Fields of papers citing papers by T Guan
This network shows the impact of papers produced by T Guan. 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 T Guan. The network helps show where T Guan may publish in the future.
Co-authors
The 22 scholars most cited alongside T Guan, 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 | 1996 | 158 | |
| 2 | 1995 | 139 | |
| 3 | 1995 | 131 | |
| 4 | 1994 | 103 | |
| 5 | 1985 | 10 | |
| 6 | 1995 | 5 | |
| 7 | 2024 | 5 |
About T Guan
T Guan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Food Science and Infectious Diseases, having authored 7 papers that have together received 551 indexed citations. Recurring topics across this work include Nuclear Structure and Function (5 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (2 papers), Food Chemistry and Fat Analysis (1 paper), Protein purification and stability (1 paper), Glycosylation and Glycoproteins Research (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Molecular Biology (516 citations), Cell Biology (71 citations), Structural Biology (6 citations), Virology (11 citations) and Genetics (44 citations). T Guan has collaborated with scholars based in United States and China. Frequent co-authors include Larry Gerace, Ting Hu, Frauke Melchior, T. Nishimoto, Ueli Aebi, Nobuhiko Yokoyama, Nelly Panté, Bryce M. Paschal, Jonathan M. Blevitt and Markus Häner. Their work appears in journals such as The Journal of Cell Biology, Cold Spring Harbor Symposia on Quantitative Biology, Molecular Biology of the Cell, Journal of Bacteriology and Industrial Crops and Products.
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.