Eric Tse
Impact in
- Structural Biology top 5%
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
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- Advanced Electron Microscopy Techniques and Applications 3
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- Heat shock proteins research 10
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 3
- Co-authors
- Daniel R. Southworth (24 shared papers)Jason E. Gestwicki (8 shared papers)Sue‐Ann Mok (3 shared papers)Ursula Jakob (5 shared papers)Jane Chiu (1 shared paper)Matthew Kam (1 shared paper)John Canny (1 shared paper)Alastair Iles (1 shared paper)
- Journals
- Nature Communications (4 papers)Nature Structural & Molecular Biology (3 papers)Journal of Biological Chemistry (3 papers)FEBS Letters (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Eric Tse
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Structural Biology 34
- Cell Biology 210
- Molecular Biology 711
- Aging 18
- Human-Computer Interaction 38
Countries citing papers authored by Eric Tse
This map shows the geographic impact of Eric Tse'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 Eric Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Tse more than expected).
Fields of papers citing papers by Eric Tse
This network shows the impact of papers produced by Eric Tse. 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 Eric Tse. The network helps show where Eric Tse may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Tse, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 145 | |
| 2 | 2019 | 115 | |
| 3 | 2016 | 108 | |
| 4 | 2019 | 78 | |
| 5 | 2018 | 76 | |
| 6 | 2015 | 75 | |
| 7 | 2021 | 56 | |
| 8 | 2018 | 54 | |
| 9 | 2020 | 50 | |
| 10 | 2015 | 49 | |
| 11 | 2021 | 42 | |
| 12 | 2013 | 39 | |
| 13 | 2023 | 38 | |
| 14 | 2017 | 38 | |
| 15 | 2019 | 33 | |
| 16 | 2019 | 25 | |
| 17 | 2022 | 17 | |
| 18 | 2024 | 16 | |
| 19 | 2024 | 11 | |
| 20 | 2023 | 11 |
About Eric Tse
Eric Tse is a scholar working on Structural Biology, Molecular Biology, Physiology, Neurology and Cell Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heat shock proteins research (10 papers), Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (5 papers), Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Structural Biology (34 citations), Cell Biology (210 citations), Molecular Biology (711 citations), Aging (18 citations) and Human-Computer Interaction (38 citations). Eric Tse has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Daniel R. Southworth, Jason E. Gestwicki, Sue‐Ann Mok, Ursula Jakob, Jane Chiu, Matthew Kam, John Canny, Alastair Iles, Jingtao Wang and Stephanie N. Gates. Their work appears in journals such as Nature Communications, Nature Structural & Molecular Biology, Journal of Biological Chemistry, FEBS Letters and Journal of 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.