Wan Chang

8.8k citations
11 papers · 400 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related Molecular Pathways

Papers in

    • Ubiquitin and proteasome pathways 5
    • Chromatin Remodeling and Cancer 3
    • RNA modifications and cancer 3
    • DNA Repair Mechanisms 1
    • Epigenetics and DNA Methylation 1
    • Cancer-related Molecular Pathways 3

Wan Chang

11 papers receiving 399 citations

Peers

Wan Chang
Comparison fields: 5 of 54
  • Cancer Research 88
  • Oncology 116
  • Molecular Biology 303
  • Pathology and Forensic Medicine 42
  • Cell Biology 30
Replace Xiaohong Gai with:
Xiaohong Gai China
Jiequn Ma China
Yiji Liao China
Yun Seong Jeong United States
Pei Jou Chua Singapore
Camilla Avivi Israel
Jeroen M. Bugter Netherlands
Dejun Wu China
Martina Mang Leng Lei Hong Kong
Ilenia Pellarin Italy
Wan Chang relative to Xiaohong Gai China Xiaohong Gai's profile →
Citations per field
00.5×3.3×
Xiaohong Gai · 1×
Citations per year

Countries citing papers authored by Wan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Wan Chang, 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 Wan Chang Line = papers co-authored together Wan Chang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201965
2 202160
3 201955
4 202041
5 201937
6 201835
7 202229
8 202225
9 202222
10 202316
11 202415

About Wan Chang

Wan Chang is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Cell Biology, having authored 11 papers that have together received 400 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Cancer Mechanisms and Therapy (3 papers), Chromatin Remodeling and Cancer (3 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), DNA Repair Mechanisms (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (88 citations), Oncology (116 citations), Molecular Biology (303 citations), Pathology and Forensic Medicine (42 citations) and Cell Biology (30 citations). Wan Chang has collaborated with scholars based in China and United States. Frequent co-authors include Xiaowei Wu, Qingyu Luo, Pengfei Zhao, Zhihua Liu, Yabing Nan, Fang Ding, Tong Shu, Dan Su, Xiaolin Zhu and Bin Li. Their work appears in journals such as Cell Reports, Proceedings of the National Academy of Sciences, Cell Death and Differentiation, Cancer Letters and Advanced Science.

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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