Si Tuen Lee-Hoeflich

1.3k citations
7 papers · 961 indexed · 1 hit paper · h-index 7
Topics
TGF-β signaling in diseases (3 papers)HER2/EGFR in Cancer Research (2 papers)Monoclonal and Polyclonal Antibodies Research (2 papers)

In The Last Decade

Si Tuen Lee-Hoeflich

7 papers receiving 939 citations

Hit Papers

A Central Role for HER3 in HER2 -Amplified Breast Cancer:...20082026201420202008100200300400500

Peers

Si Tuen Lee-Hoeflich
Comparison fields: 5 of 68
  • Molecular Biology 548
  • Oncology 537
  • Radiology, Nuclear Medicine and Imaging 366
  • Pulmonary and Respiratory Medicine 107
  • Cellular and Molecular Neuroscience 77
Replace Paolo Fedi with:
Paolo Fedi United States
Lily Yen United States
R.C. McGarry United States
Raffaele Tecce Italy
C. Botta Italy
Sergio Anastasi Italy
Sasidhar Vemula United States
R M de Waal Netherlands
Karin Staflin United States
Han Chang United States
Si Tuen Lee-Hoeflich relative to Paolo Fedi United States Paolo Fedi's profile →
Citations per field
00.5×2.7×
Paolo Fedi · 1×
Citations per year

Countries citing papers authored by Si Tuen Lee-Hoeflich

Since Specialization
Citations

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

Fields of papers citing papers by Si Tuen Lee-Hoeflich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Tuen Lee-Hoeflich

This figure shows the co-authorship network connecting the top 25 collaborators of Si Tuen Lee-Hoeflich. A scholar is included among the top collaborators of Si Tuen Lee-Hoeflich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Si Tuen Lee-Hoeflich. Si Tuen Lee-Hoeflich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 6
2 18
3 104
4
A Central Role for HER3 in HER2 -Amplified Breast Cancer: Implications for Targeted Therapybreakdown →
501
5 29
6 178
7 125

About Si Tuen Lee-Hoeflich

Si Tuen Lee-Hoeflich is a scholar working on Immunology and Allergy, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 961 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), HER2/EGFR in Cancer Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Oncology (537 citations), Radiology, Nuclear Medicine and Imaging (366 citations) and Immunology and Allergy (73 citations). Si Tuen Lee-Hoeflich has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Liliana Attisano, Mark X. Sliwkowski, Evelyn Yao, Klaus P. Hoeflich, Xander Munroe, Thinh Q. Pham, Lisa Crocker, Howard M. Stern, Monika Podkowa and Xin Zhao. Their work appears in journals such as Journal of Clinical Oncology, The EMBO Journal and Cancer Research.

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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