Yuan Tu
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Biophysics top 0.05%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
-
- Aquatic life and conservation 2
- Co-authors
- Martin ChalfieGhia EuskirchenDouglas C. PrasherWilliam W. WardDing XueG. A. HeldGeorges GrinsteinUlf Klein
- Journals
- Journal of Cellular Biochemistry (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaEgypt
In The Last Decade
Yuan Tu
18 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Aging 589
- Biophysics 1.6k
- Molecular Biology 4.3k
- Structural Biology 77
- Biotechnology 415
Countries citing papers authored by Yuan Tu
This map shows the geographic impact of Yuan Tu'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 Yuan Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Tu more than expected).
Fields of papers citing papers by Yuan Tu
This network shows the impact of papers produced by Yuan Tu. 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 Yuan Tu. The network helps show where Yuan Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuan Tu, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 22 | |
| 8 | 2017 | 5 | |
| 9 | 2010 | 130 | |
| 10 | 2010 | 33 | |
| 11 | 2006 | 63 | |
| 12 | 2006 | 88 | |
| 13 | 2003 | 127 | |
| 14 | 2002 | 175 | |
| 15 | 1999 | 10 | |
| 16 | 1998 | 28 | |
| 17 | 1998 | 46 | |
| 18 | 1997 | 28 | |
| 19 | Green Fluorescent Protein as a Marker for Gene Expression Hit paper breakdown → | 1994 | 5128 |
| 20 | 1993 | 199 |
About Yuan Tu
Yuan Tu is a scholar working on Aging, Aquatic Science, Molecular Biology, Cellular and Molecular Neuroscience and Sensory Systems, having authored 20 papers that have together received 6.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Gene expression and cancer classification (3 papers), Bone Metabolism and Diseases (3 papers), Aquatic life and conservation (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Aging (589 citations), Biophysics (1.6k citations), Molecular Biology (4.3k citations), Structural Biology (77 citations) and Biotechnology (415 citations). Yuan Tu has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include Martin Chalfie, Ghia Euskirchen, Douglas C. Prasher, William W. Ward, Ding Xue, G. A. Held, Georges Grinstein, Ulf Klein, Gustavo Stolovitzky and David B. Wainscott. Their work appears in journals such as Journal of Cellular Biochemistry, Journal of Pharmacology and Experimental Therapeutics, Science, Proceedings of the National Academy of Sciences and Scientific Reports.
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.