Alan Tseng
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
-
- Circadian rhythm and melatonin
Papers in
-
- Ubiquitin and proteasome pathways 6
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology 6
- Cancer-related Molecular Pathways 4
- Co-authors
- Wenyi Wei (7 shared papers)Hiroyuki Inuzuka (7 shared papers)Daming Gao (7 shared papers)Lixin Wan (4 shared papers)Steven P. Gygi (3 shared papers)Erik D. Herzog (1 shared paper)Shavali Shaik (3 shared papers)Daniel Granados‐Fuentes (1 shared paper)
- Journals
- Blood (2 papers)Tissue Engineering Part A (2 papers)Haematologica (2 papers)Molecular Cell (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Alan Tseng
31 papers receiving 1.7k citations
Alan Tseng's Hit Papers
Peers
Comparison fields: 5 of 92
- Oncology 437
- Endocrine and Autonomic Systems 106
- Molecular Biology 1.0k
- Cell Biology 239
- Hematology 113
Countries citing papers authored by Alan Tseng
This map shows the geographic impact of Alan Tseng'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 Alan Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Tseng more than expected).
Fields of papers citing papers by Alan Tseng
This network shows the impact of papers produced by Alan Tseng. 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 Alan Tseng. The network helps show where Alan Tseng may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan Tseng, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SCFFBW7 regulates cellular apoptosis by targeting MCL1 for ubiquitylation and destruction Hit paper breakdown → | 2011 | 541 |
| 2 | 2009 | 213 | |
| 3 | 2010 | 170 | |
| 4 | 2006 | 124 | |
| 5 | 2015 | 80 | |
| 6 | 2010 | 75 | |
| 7 | 2015 | 67 | |
| 8 | 2009 | 53 | |
| 9 | 2005 | 50 | |
| 10 | 2013 | 38 | |
| 11 | 2013 | 37 | |
| 12 | 2015 | 33 | |
| 13 | 2008 | 31 | |
| 14 | 2014 | 26 | |
| 15 | 2009 | 25 | |
| 16 | 2016 | 24 | |
| 17 | 2013 | 23 | |
| 18 | 2016 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2014 | 14 |
About Alan Tseng
Alan Tseng is a scholar working on Molecular Biology, Oncology, Surgery, Hematology and Cancer Research, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Cancer-related Molecular Pathways (4 papers), Acupuncture Treatment Research Studies (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Bone health and osteoporosis research (3 papers), Nasal Surgery and Airway Studies (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Silk-based biomaterials and applications (2 papers). The work is most often cited by research in Oncology (437 citations), Endocrine and Autonomic Systems (106 citations), Molecular Biology (1.0k citations), Cell Biology (239 citations) and Hematology (113 citations). Alan Tseng has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Wenyi Wei, Hiroyuki Inuzuka, Daming Gao, Lixin Wan, Steven P. Gygi, Erik D. Herzog, Shavali Shaik, Daniel Granados‐Fuentes, Alex Toker and Jaehyung Cho. Their work appears in journals such as Blood, Tissue Engineering Part A, Haematologica, Molecular Cell and Molecular Biology of the Cell.
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.