Sidney Yu
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
- Cell Biology 25
- Cellular transport and secretion 21
- Endoplasmic Reticulum Stress and Disease 16
- Microtubule and mitosis dynamics 3
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- Lipid Membrane Structure and Behavior 3
- Co-authors
- David L. Garbers (2 shared papers)Eric J. Baude (2 shared papers)Leon Avery (1 shared paper)Ayano Satoh (9 shared papers)Chuan‐Ming Xie (2 shared papers)Christopher H.K. Cheng (2 shared papers)Michael G. Roth (4 shared papers)Susan Ferro‐Novick (3 shared papers)
- Journals
- PLoS ONE (6 papers)Cell Biology International (5 papers)Molecular Biology of the Cell (3 papers)Scientific Reports (2 papers)Frontiers in Cell and Developmental Biology (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Sidney Yu
43 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 107
- Aging 263
- Cell Biology 842
- Physiology 122
- Endocrine and Autonomic Systems 181
- Molecular Biology 1.1k
Countries citing papers authored by Sidney Yu
This map shows the geographic impact of Sidney Yu'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 Sidney Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sidney Yu more than expected).
Fields of papers citing papers by Sidney Yu
This network shows the impact of papers produced by Sidney Yu. 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 Sidney Yu. The network helps show where Sidney Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sidney Yu, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 368 | |
| 2 | 2011 | 217 | |
| 3 | 2007 | 200 | |
| 4 | 2003 | 138 | |
| 5 | 2009 | 97 | |
| 6 | 2016 | 75 | |
| 7 | 2013 | 72 | |
| 8 | 2006 | 64 | |
| 9 | 2013 | 62 | |
| 10 | 1999 | 57 | |
| 11 | 2015 | 55 | |
| 12 | 2013 | 49 | |
| 13 | 2011 | 47 | |
| 14 | 2014 | 44 | |
| 15 | 2008 | 41 | |
| 16 | 2011 | 40 | |
| 17 | 2017 | 36 | |
| 18 | 2012 | 35 | |
| 19 | 2002 | 34 | |
| 20 | 2016 | 33 |
About Sidney Yu
Sidney Yu is a scholar working on Cell Biology, Molecular Biology, Epidemiology, Physiology and Surgery, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (21 papers), Endoplasmic Reticulum Stress and Disease (16 papers), Autophagy in Disease and Therapy (9 papers), Lipid metabolism and biosynthesis (3 papers), Microtubule and mitosis dynamics (3 papers), Lysosomal Storage Disorders Research (3 papers), Calcium signaling and nucleotide metabolism (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Aging (263 citations), Cell Biology (842 citations), Physiology (122 citations), Endocrine and Autonomic Systems (181 citations) and Molecular Biology (1.1k citations). Sidney Yu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include David L. Garbers, Eric J. Baude, Leon Avery, Ayano Satoh, Chuan‐Ming Xie, Christopher H.K. Cheng, Michael G. Roth, Susan Ferro‐Novick, Jun Zhao and Wood Yee Chan. Their work appears in journals such as PLoS ONE, Cell Biology International, Molecular Biology of the Cell, Scientific Reports and Frontiers in Cell and Developmental 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.