Che‐Hung Shen

839 total citations
18 papers, 617 citations indexed

About

Che‐Hung Shen is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Che‐Hung Shen has authored 18 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Che‐Hung Shen's work include Melanoma and MAPK Pathways (6 papers), DNA Repair Mechanisms (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). Che‐Hung Shen is often cited by papers focused on Melanoma and MAPK Pathways (6 papers), DNA Repair Mechanisms (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). Che‐Hung Shen collaborates with scholars based in Taiwan, United States and Japan. Che‐Hung Shen's co-authors include Bin Zheng, Rolando Pérez‐Lorenzo, Mindy H. Hsieh, Michael DeRan, Ping Yuan, John M. Asara, Jun Liu, Shunying Zhu, PuiYee Chan and Xu Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Che‐Hung Shen

18 papers receiving 612 citations

Peers

Che‐Hung Shen
Comparison fields: 5 of 71
  • Molecular Biology 437
  • Cell Biology 230
  • Oncology 144
  • Cancer Research 115
  • Immunology 36
Replace Marie Anne Pringle with:
Marie Anne Pringle United Kingdom
Rosa Della Monica Italy
Rosanna Dattilo Italy
Anita Hufnagel Germany
Micah J. Maxwell United States
Chiara Soncini Italy
Saul Carcamo United States
Chenming Zeng China
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Marie Anne Pringle United Kingdom View profile →
Citations per field, relative to Che‐Hung Shen
Che‐Hung Shen · 1×
Citations per year, relative to Che‐Hung Shen
Che‐Hung Shen · 1×

Countries citing papers authored by Che‐Hung Shen

Since Specialization
Citations

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

Fields of papers citing papers by Che‐Hung Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che‐Hung Shen. 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 Che‐Hung Shen. The network helps show where Che‐Hung Shen may publish in the future.

Co-authorship network of co-authors of Che‐Hung Shen

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 4
2 6
3 6
4 9
5 15
6 17
7 17
8 19
9
Low expression of cytosolic NOTCH1 predicts poor prognosis of breast cancer patients.
7
10 14
11 1
12 16
13 12
14 1
15 251
16 39
17 176
18 7

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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