Alan Tseng

31 papers receiving 1.7k citations

Hit Papers

SCFFBW7 regulates cellular apoptosis by targeting MCL1 for ubiquitylation and destruction 2011 · 537 citations
5372011202620162021100200300400500

Peers

Alan Tseng
Comparison fields: 5 of 96
  • Oncology 475
  • Endocrine and Autonomic Systems 109
  • Cell Biology 253
  • Molecular Biology 1.1k
  • Hematology 127
Replace Rajan Jain with:
Rajan Jain United States
Giorgio Malpeli Italy
Tiziana Crepaldi Italy
Noriko Takegahara Japan
Barbara Seidler Germany
Bernd Kinzel Switzerland
Yan‐Shan Dai United States
Paola Narducci Italy
Lieve Umans Belgium
Alan Tseng relative to Rajan Jain United States Rajan Jain's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alan Tseng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Alan Tseng Line = papers co-authored together Alan Tseng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2011537
2 2009210
3 2010169
4 2006123
5 201578
6 201074
7 201567
8 200952
9 200550
10 201337
11 201336
12 201532
13 200831
14 201426
15 200925
16 201624
17 201323
18 201618
19 201817
20 201414

About Alan Tseng

Alan Tseng is a scholar working on Orthopedics and Sports Medicine, Otorhinolaryngology, Hematology, Complementary and alternative medicine 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), Nasal Surgery and Airway Studies (5 papers), Cancer-related Molecular Pathways (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Reconstructive Facial Surgery Techniques (3 papers), Bone health and osteoporosis research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Silk-based biomaterials and applications (3 papers). The work is most often cited by research in Oncology (475 citations), Endocrine and Autonomic Systems (109 citations), Cell Biology (253 citations), Molecular Biology (1.1k citations) and Hematology (127 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, Daniel Granados‐Fuentes, Shavali Shaik, Erik D. Herzog, Steven P. Gygi, Alex Toker and Kyungho Kim. Their work appears in journals such as Blood, Haematologica, Tissue Engineering Part A, Trials and Cancer 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.

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