Ting‐Wei Mu
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Aging top 10%
Papers in
-
- Ion channel regulation and function 4
- Cell Biology 19
- Endoplasmic Reticulum Stress and Disease 15
- Cellular transport and secretion 7
- Co-authors
- Yajuan Wang (21 shared papers)Jeffery W. Kelly (5 shared papers)Derrick Sek Tong Ong (3 shared papers)John R. Yates (3 shared papers)Laura Segatori (1 shared paper)William E. Balch (1 shared paper)Douglas M. Fowler (1 shared paper)Qing‐Xiang Guo (4 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Pharmacological Research (2 papers)Chinese Journal of Chemistry (2 papers)Cell (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Ting‐Wei Mu
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Cell Biology 454
- Aging 28
- Physiology 69
- Pharmaceutical Science 75
- Biological Psychiatry 26
Countries citing papers authored by Ting‐Wei Mu
This map shows the geographic impact of Ting‐Wei Mu'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 Ting‐Wei Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting‐Wei Mu more than expected).
Fields of papers citing papers by Ting‐Wei Mu
This network shows the impact of papers produced by Ting‐Wei Mu. 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 Ting‐Wei Mu. The network helps show where Ting‐Wei Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting‐Wei Mu, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 314 | |
| 2 | 2008 | 103 | |
| 3 | 2010 | 79 | |
| 4 | 2000 | 71 | |
| 5 | 2003 | 60 | |
| 6 | 2000 | 49 | |
| 7 | 2014 | 43 | |
| 8 | 2016 | 38 | |
| 9 | 2013 | 38 | |
| 10 | 2014 | 29 | |
| 11 | 2019 | 28 | |
| 12 | 2015 | 28 | |
| 13 | 2000 | 24 | |
| 14 | 2017 | 24 | |
| 15 | 2018 | 22 | |
| 16 | 2001 | 18 | |
| 17 | 2015 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2013 | 15 |
About Ting‐Wei Mu
Ting‐Wei Mu is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Genetics and Organic Chemistry, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (15 papers), Neuroscience and Neuropharmacology Research (10 papers), Genetics and Neurodevelopmental Disorders (7 papers), Cellular transport and secretion (7 papers), Crystallography and molecular interactions (6 papers), Ion channel regulation and function (4 papers), Lysosomal Storage Disorders Research (4 papers) and Supramolecular Chemistry and Complexes (3 papers). The work is most often cited by research in Cell Biology (454 citations), Aging (28 citations), Physiology (69 citations), Pharmaceutical Science (75 citations) and Biological Psychiatry (26 citations). Ting‐Wei Mu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yajuan Wang, Jeffery W. Kelly, Derrick Sek Tong Ong, John R. Yates, Laura Segatori, William E. Balch, Douglas M. Fowler, Qing‐Xiang Guo, Chao Yang and Amy E. Palmer. Their work appears in journals such as Journal of Biological Chemistry, Pharmacological Research, Chinese Journal of Chemistry, Cell and PLoS ONE.
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.