Shang‐Fan Yu

5.2k total citations
45 papers, 1.7k citations indexed

About

Shang‐Fan Yu is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Shang‐Fan Yu has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Oncology, 32 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Molecular Biology. Recurrent topics in Shang‐Fan Yu's work include Monoclonal and Polyclonal Antibodies Research (31 papers), HER2/EGFR in Cancer Research (29 papers) and CAR-T cell therapy research (10 papers). Shang‐Fan Yu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (31 papers), HER2/EGFR in Cancer Research (29 papers) and CAR-T cell therapy research (10 papers). Shang‐Fan Yu collaborates with scholars based in United States, France and United Kingdom. Shang‐Fan Yu's 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 and has published in prestigious journals such as Science, Nucleic Acids Research and Blood.

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 Dennis R. Benjamin with:
Dennis R. Benjamin United States
Russell J. Sanderson United States
Fredrik Y. Frejd Sweden
Leonardo Giovannoni Switzerland
Torbjörn Gräslund Sweden
Roger F. Zabinski United States
Julie L. Sutcliffe United States
Robert P. Lyon United States
Marijke Stigter‐van Walsum Netherlands
Dennis R. Benjamin United States View profile →
Citations per field, relative to Shang‐Fan Yu
Shang‐Fan Yu · 1×
Citations per year, relative to Shang‐Fan Yu
Shang‐Fan Yu · 1×

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
# Work Indexed 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

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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