Sufan Wu

1.9k citations
48 papers · 1.4k · h-index 20

Impact in

Papers in

    • Facial Rejuvenation and Surgery Techniques 17
    • Dermatologic Treatments and Research 10

Sufan Wu

42 papers receiving 1.3k citations

Peers

Sufan Wu
Comparison fields: 5 of 95
  • Developmental Neuroscience 250
  • Dermatology 352
  • Cellular and Molecular Neuroscience 481
  • Genetics 270
  • Biomaterials 206
Replace Jianhua Gao with:
Jianhua Gao China
Lauren Kokai United States
Zhifeng You China
Matthew D. Wood United States
Xinchi Jiang China
Carlo Soranzo Italy
Yannan Zhao China
Javad Verdi Iran
Yongchao Mou United States
Brenton Cavanagh Ireland
Sufan Wu relative to Jianhua Gao China Jianhua Gao's profile →
Citations per field
00.5×7.8×
Jianhua Gao · 1×
Citations per year

Countries citing papers authored by Sufan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sufan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003191
2 2000161
3 2012128
4 200490
5 200182
6 200281
7 200258
8 200157
9 200251
10 200251
11 200348
12 201743
13 202230
14 201930
15 201729
16 202024
17 202422
18 200921
19 201921
20 200219

About Sufan Wu

Sufan Wu is a scholar working on Dermatology, Surgery, Neurology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Facial Rejuvenation and Surgery Techniques (17 papers), Nerve injury and regeneration (10 papers), Dermatologic Treatments and Research (10 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Facial Nerve Paralysis Treatment and Research (7 papers), Botulinum Toxin and Related Neurological Disorders (6 papers), Wound Healing and Treatments (5 papers) and Spinal Cord Injury Research (4 papers). The work is most often cited by research in Developmental Neuroscience (250 citations), Dermatology (352 citations), Cellular and Molecular Neuroscience (481 citations), Genetics (270 citations) and Biomaterials (206 citations). Sufan Wu has collaborated with scholars based in China, Japan and Italy. Frequent co-authors include Yoshihisa Suzuki, Yoshihiko Nishimura, Chizuka Idé, Masaaki Kitada, Kazuya Kataoka, Kyoko Suzuki, Hongliang Bai, Lei Pan, Masao Tanihara and Masayoshi Ohta. Their work appears in journals such as Aesthetic Plastic Surgery, Journal of Craniofacial Surgery, Aesthetic Surgery Journal, Journal of Cosmetic Dermatology and Scientific Reports.

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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