Shao‐Chun Wang

8.3k citations
149 papers · 6.1k indexed · 2 hit papers · h-index 39

Shao‐Chun Wang

147 papers receiving 6.1k citations

Hit Papers

Advances and p...502015202620182022200400600

Peers

Shao‐Chun Wang
Comparison fields: 5 of 160
  • Oncology 1.6k
  • Inorganic Chemistry 772
  • Cancer Research 812
  • Molecular Biology 3.1k
  • Immunology 609
Replace Qing Miao with:
Qing Miao China
Qin Wang China
Jiao Wang China
David Stirling United Kingdom
Shinji Tamura Japan
Hang Zhang China
Zhenzhen Li China
Zhong Liu China
Christopher R. Chitambar United States
Hai Wang China
Shao‐Chun Wang relative to Qing Miao China Qing Miao's profile →
Citations per field
00.5×2.6×
Qing Miao · 1×
Citations per year

Countries citing papers authored by Shao‐Chun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shao‐Chun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao‐Chun Wang. 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 Shao‐Chun Wang. The network helps show where Shao‐Chun Wang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shao‐Chun Wang, 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 Shao‐Chun Wang Line = papers co-authored together Shao‐Chun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202211
3 20223
4 20225
5 202221
6 202213
7 20211
8 202124
9
Tannic acid suppresses SARS-CoV-2 as a dual inhibitor of the viral main protease and the cellular TMPRSS2 protease
202066
10 202042
11 201957
12 201910
13 2019282
14 2017333
15 20171
16 201288
17 201176
18
Inhibition of c-ABL sensitizes breast cancer cells to the dual ErbB receptor tyrosine kinase inhibitor lapatinib (GW572016).
201116
19 200865
20 2004241

About Shao‐Chun Wang

Shao‐Chun Wang is a scholar working on Oncology, Cancer Research and Immunology and Allergy, having authored 149 papers that have together received 6.1k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (16 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), MicroRNA in disease regulation (8 papers), Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Glycosylation and Glycoproteins Research (7 papers), Cancer Cells and Metastasis (7 papers) and DNA Repair Mechanisms (7 papers). The work is most often cited by research in Oncology (1.6k citations), Inorganic Chemistry (772 citations) and Cancer Research (812 citations). Shao‐Chun Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Mien‐Chie Hung, Fa‐Kuen Shieh, Kevin C.‐W. Wu, Lien‐Yang Chou, Joseph V. Morabito, Chia‐Kuang Tsung, Peter M. Fischer, Weiya Xia, Pan Hu and Eing‐Mei Tsai. Their work appears in journals such as Scientific Reports, American Journal of Physiology-Legacy Content, Oncogene, Biochemistry 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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