Alan Tseng
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Cell death mechanisms and regulation
- PI3K/AKT/mTOR signaling in cancer
- Genomics, phytochemicals, and oxidative stress
- Genetics top 10%
Papers in
-
- Acute Myeloid Leukemia Research 2
- Platelet Disorders and Treatments 2
-
- Ubiquitin and proteasome pathways 5
- PI3K/AKT/mTOR signaling in cancer 2
- Co-authors
- Hiroyuki Inuzuka (7 shared papers)Daming Gao (7 shared papers)Wenyi Wei (7 shared papers)Lixin Wan (4 shared papers)Steven P. Gygi (3 shared papers)Shavali Shaik (3 shared papers)Alex Toker (2 shared papers)Jaehyung Cho (6 shared papers)
- Journals
- Blood (3 papers)Haematologica (2 papers)Tissue Engineering Part A (2 papers)Cancer Cell (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Alan Tseng
28 papers receiving 2k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 1k
- Genetics 110
- Hematology 164
- Cancer Research 155
- Oncology 255
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 555 | |
| 2 | 2013 | 245 | |
| 3 | 2009 | 224 | |
| 4 | 2010 | 181 | |
| 5 | 2016 | 167 | |
| 6 | 2010 | 82 | |
| 7 | 2015 | 82 | |
| 8 | 2015 | 71 | |
| 9 | 2009 | 59 | |
| 10 | 2005 | 53 | |
| 11 | 2013 | 42 | |
| 12 | 2015 | 41 | |
| 13 | 2008 | 31 | |
| 14 | 2020 | 30 | |
| 15 | 2014 | 27 | |
| 16 | 2013 | 26 | |
| 17 | 2009 | 25 | |
| 18 | 2016 | 25 | |
| 19 | 2018 | 19 | |
| 20 | 2014 | 17 |
About Alan Tseng
Alan Tseng is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Orthopedics and Sports Medicine, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Bone health and osteoporosis research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cancer-related Molecular Pathways (2 papers), Acute Myeloid Leukemia Research (2 papers), Platelet Disorders and Treatments (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Molecular Biology (1k citations), Genetics (110 citations), Hematology (164 citations), Cancer Research (155 citations) and Oncology (255 citations). Alan Tseng has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Hiroyuki Inuzuka, Daming Gao, Wenyi Wei, Lixin Wan, Steven P. Gygi, Shavali Shaik, Alex Toker, Jaehyung Cho, Kyungho Kim and Y. Rebecca Chin. Their work appears in journals such as Blood, Haematologica, Tissue Engineering Part A, Cancer Cell and Methods in enzymology on CD-ROM/Methods in enzymology.
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.