Xiao‐Fan Wang

11.0k citations
85 papers · 9.1k indexed · 4 hit papers · h-index 39

Impact in

    • TGF-β signaling in diseases
    • Histone Deacetylase Inhibitors Research
    • Cancer-related gene regulation
    • Protein Degradation and Inhibitors
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways

Papers in

Xiao‐Fan Wang

79 papers receiving 9.0k citations

Hit Papers

Signaling cross-talk between TGF-β/BMP and other pathways 2008 · 807 citations
807199120262002201450010001.5k

Peers

Xiao‐Fan Wang
Comparison fields: 5 of 129
  • Molecular Biology 7.4k
  • Immunology and Allergy 500
  • Oncology 2.1k
  • Cancer Research 1.1k
  • Cell Biology 750
Replace Maria Sibilia with:
Maria Sibilia Austria
Parmjit Jat United Kingdom
Hiroshi Nishina Japan
Hervé Acloque France
Yasufumi Sato Japan
Jennifer P. Morton United Kingdom
Vladimír Kořínek Czechia
Joerg Huelsken Switzerland
Jan Köster Netherlands
John S. Rudge United States
Xiao‐Fan Wang relative to Maria Sibilia Austria Maria Sibilia's profile →
Citations per field
00.5×1.5×
Maria Sibilia · 1×
Citations per year

Countries citing papers authored by Xiao‐Fan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Fan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20242
4 202360
5 202315
6 201827
7 201635
8 201696
9 2008220
10 20081
11 200714
12 200744
13 200615
14 200339
15 200350
16 200325
17 200212
18 199847
19 1998149
20 1996110

About Xiao‐Fan Wang

Xiao‐Fan Wang is a scholar working on Cancer Research, Immunology and Allergy, Molecular Biology, Biochemistry and Pathology and Forensic Medicine, having authored 85 papers that have together received 9.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (28 papers), Prion Diseases and Protein Misfolding (9 papers), Genetic factors in colorectal cancer (8 papers), Kruppel-like factors research (8 papers), NF-κB Signaling Pathways (6 papers), Cancer-related gene regulation (6 papers), Cell Adhesion Molecules Research (6 papers) and Neurological diseases and metabolism (4 papers). The work is most often cited by research in Molecular Biology (7.4k citations), Immunology and Allergy (500 citations), Oncology (2.1k citations), Cancer Research (1.1k citations) and Cell Biology (750 citations). Xiao‐Fan Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xing Guo, Herbert Y. Lin, Robert A. Weinberg, Harvey F. Lodish, Joshua P. Frederick, Tso‐Pang Yao, Yoshiharu Kawaguchi, Michael Datto, Akihiro Ito and Charlotte Hubbert. Their work appears in journals such as Molecular and Cellular Biology, Cell, Journal of Biological Chemistry, Cancer Research and Genes & Development.

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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