Shu Yuan Yang
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Invertebrate Immune Response Mechanisms 3
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- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 7
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- CRISPR and Genetic Engineering 3
- Genomics and Chromatin Dynamics 3
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- Neurobiology and Insect Physiology Research 3
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- Animal Behavior and Reproduction 3
- Co-authors
- David G. SchatzMark Van DorenSebastian D. FugmannEllen BaxterDavid G.T. HessleinJonathan P. RastKatherine M. BuckleyMeichen Liu
- Cited by
- ImmunologyAgingGenetics
- Journals
- International Journal of Molecular Sciences (2 papers)iScience (1 paper)Scientific Reports (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shu Yuan Yang
19 papers receiving 310 citations
Peers
Comparison fields: 5 of 62
- Immunology 121
- Aging 7
- Genetics 103
- Molecular Biology 161
- Cellular and Molecular Neuroscience 29
Countries citing papers authored by Shu Yuan Yang
This map shows the geographic impact of Shu Yuan Yang'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 Shu Yuan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Yuan Yang more than expected).
Fields of papers citing papers by Shu Yuan Yang
This network shows the impact of papers produced by Shu Yuan Yang. 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 Shu Yuan Yang. The network helps show where Shu Yuan Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shu Yuan Yang, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 13 | |
| 13 | 2018 | 31 | |
| 14 | 2017 | 14 | |
| 15 | 2012 | 61 | |
| 16 | 2010 | 40 | |
| 17 | 2007 | 7 | |
| 18 | 2007 | 22 | |
| 19 | 2006 | 47 | |
| 20 | 2005 | 20 |
About Shu Yuan Yang
Shu Yuan Yang is a scholar working on Aging, Immunology, Genetics, Pollution and Molecular Biology, having authored 22 papers that have together received 310 indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Animal Behavior and Reproduction (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Neurobiology and Insect Physiology Research (3 papers), CRISPR and Genetic Engineering (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Immunology (121 citations), Aging (7 citations), Genetics (103 citations), Molecular Biology (161 citations) and Cellular and Molecular Neuroscience (29 citations). Shu Yuan Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include David G. Schatz, Mark Van Doren, Sebastian D. Fugmann, Ellen Baxter, David G.T. Hesslein, Jonathan P. Rast, Katherine M. Buckley, Meichen Liu, Donghao Wang and Haiwei Pi. Their work appears in journals such as International Journal of Molecular Sciences, iScience, Scientific Reports, Proceedings of the Royal Society B Biological Sciences and PLoS Genetics.
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.