Yahui Yan
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Hematology top 10%
- Blood Coagulation and Thrombosis Mechanisms
Papers in
- Cell Biology 10
- Endoplasmic Reticulum Stress and Disease 10
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- Blood Coagulation and Thrombosis Mechanisms 2
- Co-authors
- David Ron (9 shared papers)Randy J. Read (7 shared papers)Steffen Preißler (4 shared papers)Aiwu Zhou (5 shared papers)Robin W. Carrell (5 shared papers)Cláudia Rato (4 shared papers)Zhenquan Wei (3 shared papers)Fiona Broughton Pipkin (2 shared papers)
- Journals
- eLife (4 papers)Blood (3 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
Yahui Yan
23 papers receiving 776 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 202
- Hematology 67
- Obstetrics and Gynecology 40
- Molecular Biology 249
- Cardiology and Cardiovascular Medicine 81
Countries citing papers authored by Yahui Yan
This map shows the geographic impact of Yahui Yan'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 Yahui Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yahui Yan more than expected).
Fields of papers citing papers by Yahui Yan
This network shows the impact of papers produced by Yahui Yan. 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 Yahui Yan. The network helps show where Yahui Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yahui Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 177 | |
| 2 | 2019 | 90 | |
| 3 | 2015 | 65 | |
| 4 | 2020 | 64 | |
| 5 | 2017 | 61 | |
| 6 | 2011 | 50 | |
| 7 | 2019 | 46 | |
| 8 | 2009 | 42 | |
| 9 | 2019 | 40 | |
| 10 | 2018 | 28 | |
| 11 | 2021 | 21 | |
| 12 | 2012 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2022 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2017 | 8 | |
| 17 | 2001 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2024 | 4 |
About Yahui Yan
Yahui Yan is a scholar working on Cell Biology, Hematology, Otorhinolaryngology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 788 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (10 papers), Renin-Angiotensin System Studies (3 papers), Heat shock proteins research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Head and Neck Cancer Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Cell Biology (202 citations), Hematology (67 citations), Obstetrics and Gynecology (40 citations), Molecular Biology (249 citations) and Cardiology and Cardiovascular Medicine (81 citations). Yahui Yan has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include David Ron, Randy J. Read, Steffen Preißler, Aiwu Zhou, Robin W. Carrell, Cláudia Rato, Zhenquan Wei, Fiona Broughton Pipkin, Peter L. D. Stanley and Michael P. Murphy. Their work appears in journals such as eLife, Blood, Journal of Biological Chemistry, Nature Communications and Nature Structural & Molecular Biology.
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.