Bing-Chang Chen

1.8k total citations
44 papers, 1.5k citations indexed

About

Bing-Chang Chen is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Bing-Chang Chen has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 16 papers in Cancer Research and 10 papers in Pharmacology. Recurrent topics in Bing-Chang Chen's work include NF-κB Signaling Pathways (15 papers), Connective Tissue Growth Factor Research (13 papers) and Inflammatory mediators and NSAID effects (8 papers). Bing-Chang Chen is often cited by papers focused on NF-κB Signaling Pathways (15 papers), Connective Tissue Growth Factor Research (13 papers) and Inflammatory mediators and NSAID effects (8 papers). Bing-Chang Chen collaborates with scholars based in Taiwan, India and Pakistan. Bing-Chang Chen's co-authors include Chien‐Huang Lin, Ming‐Jen Hsu, Joen‐Rong Sheu, M.M.Y. Chang, Chia‐Chin Lin, Mei-Chieh Chen, Wen‐Ta Chiu, Chuang-Ye Hong, Mauo-Ying Bien and Wan‐Wan Lin and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Bing-Chang Chen

44 papers receiving 1.5k citations

Peers

Bing-Chang Chen
Comparison fields: 5 of 107
  • Molecular Biology 711
  • Immunology 311
  • Oncology 251
  • Pulmonary and Respiratory Medicine 236
  • Cancer Research 232
Replace Weimin Sun with:
Weimin Sun United States
Maria Cekanova United States
Bastian Popper Germany
Xiaowei Yang China
Wei‐Ning Lin Taiwan
Jang Hee Hong South Korea
Yang Jiao China
Michael K. Jones United States
Matthew C. Catley United Kingdom
Weimin Sun United States View profile →
Citations per field, relative to Bing-Chang Chen
Bing-Chang Chen · 1×
Citations per year, relative to Bing-Chang Chen
Bing-Chang Chen · 1×

Countries citing papers authored by Bing-Chang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bing-Chang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing-Chang Chen. 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 Bing-Chang Chen. The network helps show where Bing-Chang Chen may publish in the future.

Co-authorship network of co-authors of Bing-Chang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bing-Chang Chen. A scholar is included among the top collaborators of Bing-Chang Chen 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 Bing-Chang Chen. Bing-Chang Chen 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 1
2 2
3 21
4 12
5 22
6 20
7 18
8 25
9 38
10 51
11 43
12 51
13 12
14 25
15 14
16 41
17 47
18 74
19 47
20 89

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026