Hong-Wu Chen

2.7k citations
23 papers · 1.8k · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors

Papers in

Hong-Wu Chen

23 papers receiving 1.8k citations

Peers

Hong-Wu Chen
Comparison fields: 5 of 83
  • Cancer Research 566
  • Molecular Biology 1.2k
  • Pulmonary and Respiratory Medicine 342
  • Oncology 285
  • Genetics 223
Replace Enping Xu with:
Enping Xu China
Anna M. Puzio‐Kuter United States
Luke Gaughan United Kingdom
Aliccia Bollig‐Fischer United States
Yunqian Pan United States
Wei Jin China
Regan M. Memmott United States
Weiwen Long United States
Fanny Dupuy Canada
Francesco Pacifico Italy
Hong-Wu Chen relative to Enping Xu China Enping Xu's profile →
Citations per field
00.5×1.5×2.3×
Enping Xu · 1×
Citations per year

Countries citing papers authored by Hong-Wu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hong-Wu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hong-Wu Chen, 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 Hong-Wu Chen Line = papers co-authored together Hong-Wu Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014263
2 2003175
3 2010158
4 2016158
5 2004153
6 2019135
7 2003133
8 2009130
9 200381
10 201674
11 201665
12 200654
13 201949
14 202139
15 201630
16 202027
17 202123
18 202022
19 201919
20 20208

About Hong-Wu Chen

Hong-Wu Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Genetics, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Epigenetics and DNA Methylation (6 papers), Ubiquitin and proteasome pathways (3 papers), Estrogen and related hormone effects (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Protein Degradation and Inhibitors (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (566 citations), Molecular Biology (1.2k citations), Pulmonary and Respiratory Medicine (342 citations), Oncology (285 citations) and Genetics (223 citations). Hong-Wu Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Hsing-Jien Kung, June X. Zou, Clifford G. Tepper, Maggie C. Louie, Ling‐Yu Wang, Chiu-Lien Hung, Yen‐Ling Yu, György Petrovics, Shiv Srivastava and Joy C. Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Death and Differentiation, Acta Pharmaceutica Sinica B, Cancer Research and Molecular Cancer Therapeutics.

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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