Szu-Wei Lee

2.3k citations
12 papers · 1.7k indexed · h-index 12
    • Ubiquitin and proteasome pathways 6
    • PI3K/AKT/mTOR signaling in cancer 6
    • DNA Repair Mechanisms 3
    • RNA modifications and cancer 2
    • Metabolism, Diabetes, and Cancer 2
    • Protein Kinase Regulation and GTPase Signaling 1
  • Oncology top 10%
    • Cancer-related Molecular Pathways 6
  • Cell Biology top 10%
    • Virus-based gene therapy research 1

Szu-Wei Lee

12 papers receiving 1.7k citations

Peers

Szu-Wei Lee
Comparison fields: 5 of 82
  • Cancer Research 500
  • Molecular Biology 1.4k
  • Oncology 407
  • Cell Biology 192
  • Immunology 181
Replace Wei-Lei Yang with:
Wei-Lei Yang United States
Sushma Gurumurthy United States
Wenjian Gan United States
Brian C. Grabiner United States
Hui-Kuan Lin United States
Kiran Mahajan United States
Xiangpeng Dai United States
Chongzhi Zhou China
Theresia R. Kress Italy
Alina Molchadsky Israel
Szu-Wei Lee relative to Wei-Lei Yang United States Wei-Lei Yang's profile →
Citations per field
00.5×1.5×
Wei-Lei Yang · 1×
Citations per year

Countries citing papers authored by Szu-Wei Lee

Since Specialization
Citations

This map shows the geographic impact of Szu-Wei Lee'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 Szu-Wei Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Szu-Wei Lee more than expected).

Fields of papers citing papers by Szu-Wei Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Szu-Wei Lee. 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 Szu-Wei Lee. The network helps show where Szu-Wei Lee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Szu-Wei Lee, 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 Szu-Wei Lee Line = papers co-authored together Szu-Wei Lee links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2016247
2 201567
3 201591
4 201593
5 201538
6 201414
7 2012344
8 2011117
9 201171
10 201148
11 201096
12 2009497

About Szu-Wei Lee

Szu-Wei Lee is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 12 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 (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), DNA Repair Mechanisms (3 papers), RNA modifications and cancer (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Virus-based gene therapy research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cancer Research (500 citations), Molecular Biology (1.4k citations) and Oncology (407 citations). Szu-Wei Lee has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hui‐Kuan Lin, Chia‐Hsin Chan, Wei-Lei Yang, Alejandro D. Campos, Bryant G. Darnay, Betty Lamothe, Jing Wang, Brian C. Grabiner, Xin Lin and Jing Wang. Their work appears in journals such as Molecular Cell, Nature Cell Biology, Cell Cycle, Science and Nature Communications.

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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