Gangwen Han

3.7k citations
39 papers · 2.9k indexed · 1 hit paper · h-index 25
Topics
TGF-β signaling in diseases (15 papers)Kruppel-like factors research (9 papers)Wound Healing and Treatments (7 papers)

In The Last Decade

Gangwen Han

39 papers receiving 2.8k citations

Hit Papers

Caspase 3–mediated stimulation of tumor cell repopulation...20112026201620212011200400600

Peers

Gangwen Han
Comparison fields: 5 of 110
  • Molecular Biology 1.6k
  • Oncology 697
  • Immunology 645
  • Cancer Research 506
  • Rehabilitation 277
Replace Tracy Tabib with:
Tracy Tabib United States
R. Dover United Kingdom
Wendy C. Weinberg United States
Molly Kulesz‐Martin United States
Jesús M. Paramio Spain
Adam Giangreco United Kingdom
Delphine Javelaud France
K T Yeo United States
Mario A. Anzano United States
Howard Edington United States
Gangwen Han relative to Tracy Tabib United States Tracy Tabib's profile →
Citations per field
00.5×10×14.4×
Tracy Tabib · 1×
Citations per year

Countries citing papers authored by Gangwen Han

Since Specialization
Citations

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

Fields of papers citing papers by Gangwen Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gangwen Han

This figure shows the co-authorship network connecting the top 25 collaborators of Gangwen Han. A scholar is included among the top collaborators of Gangwen Han 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 Gangwen Han. Gangwen Han 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
#WorkIndexed citations
1 1
2 4
3 25
4 21
5 10
6 15
7 41
8 6
9 28
10 8
11 111
12 33
13
A Role for TGFb Signaling in the Pathogenesis of Psoriasis
2
14 44
15 33
16 42
17 55
18 129
19 17
20 179

About Gangwen Han

Gangwen Han is a scholar working on Urology, Rehabilitation and Developmental Biology, having authored 39 papers that have together received 2.9k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (15 papers), Kruppel-like factors research (9 papers) and Wound Healing and Treatments (7 papers). The work is most often cited by research in Rehabilitation (277 citations), Cancer Research (506 citations) and Dermatology (276 citations). Gangwen Han has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Xiao‐Jing Wang, Philip Owens, David Raben, Fulun Li, Aik Choon Tan, Shi‐Long Lu, Allen G. Li, Wenrong Li, Fei‐Fei Liu and Fang Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

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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