Shang‐Fan Yu

5.2k citations
45 papers · 1.7k indexed · h-index 22
Topics
Monoclonal and Polyclonal Antibodies Research (31 papers)HER2/EGFR in Cancer Research (29 papers)CAR-T cell therapy research (10 papers)

In The Last Decade

Shang‐Fan Yu

43 papers receiving 1.6k citations

Peers

Shang‐Fan Yu
Comparison fields: 5 of 84
  • Molecular Biology 929
  • Radiology, Nuclear Medicine and Imaging 864
  • Oncology 833
  • Immunology 280
  • Biomedical Engineering 205
Replace Fredrik Y. Frejd with:
Fredrik Y. Frejd Sweden
Marijke Stigter‐van Walsum Netherlands
Chingwei V. Lee United States
Michael Kragh Denmark
Raimond Heukers Netherlands
Marleen Keyaerts Belgium
Sarajane Ross United States
Roger F. Zabinski United States
Gabriela Krämer-Marek United Kingdom
Shang‐Fan Yu relative to Fredrik Y. Frejd Sweden Fredrik Y. Frejd's profile →
Citations per field
00.5×1.5×
Fredrik Y. Frejd · 1×
Citations per year

Countries citing papers authored by Shang‐Fan Yu

Since Specialization
Citations

This map shows the geographic impact of Shang‐Fan Yu'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 Shang‐Fan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang‐Fan Yu more than expected).

Fields of papers citing papers by Shang‐Fan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang‐Fan Yu. 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 Shang‐Fan Yu. The network helps show where Shang‐Fan Yu may publish in the future.

Co-authorship network of co-authors of Shang‐Fan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Fan Yu. A scholar is included among the top collaborators of Shang‐Fan Yu 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 Shang‐Fan Yu. Shang‐Fan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 8
4 8
5 11
6 24
7 49
8 9
9 31
10 27
11 21
12 125
13 32
14 69
15 42
16 27
17
CD40 pathway activation status and germinal B-cell identity are predictive of response to anti-CD40 (SGN-40) in preclinical NHL models
1
18 58
19 92
20 243

About Shang‐Fan Yu

Shang‐Fan Yu is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (31 papers), HER2/EGFR in Cancer Research (29 papers) and CAR-T cell therapy research (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (864 citations), Oncology (833 citations) and Molecular Biology (929 citations). Shang‐Fan Yu has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Darlene E. Jenkins, Tony Purchio, Pamela R. Contag, Yoko Oei, Andrew G. Polson, Katherine R. Kozak, Keyang Xu, David Kan, Thomas H. Pillow and Karen L. Billeci. Their work appears in journals such as Science, Nucleic Acids Research and Blood.

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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