Xiao Long

4.1k citations
221 papers · 2.9k · h-index 27

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Dermatology top 0.5%
    • Dermatologic Treatments and Research
    • Facial Rejuvenation and Surgery Techniques

Papers in

    • Facial Rejuvenation and Surgery Techniques 28
    • Dermatologic Treatments and Research 24
    • Wound Healing and Treatments 10

Xiao Long

197 papers receiving 2.8k citations

Peers

Xiao Long
Comparison fields: 5 of 98
  • Aging 94
  • Dermatology 511
  • Rehabilitation 99
  • Statistics, Probability and Uncertainty 116
  • Surgery 376
Replace Jiuzuo Huang with:
Jiuzuo Huang China
Nanze Yu China
Parminder Pal Singh United States
Cecilia M. Prêle Australia
Akiyoshi Hirano Japan
Yu‐Wen Su China
Jodie Birch United Kingdom
Anne Marie Kuijpers‐Jagtman Netherlands
Ernest S. Chiu United States
Laura Bertoni Italy
Xiao Long relative to Jiuzuo Huang China Jiuzuo Huang's profile →
Citations per field
00.5×2×4×5.2×
Jiuzuo Huang · 1×
Citations per year

Countries citing papers authored by Xiao Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 221 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020285
2 2020281
3 2022135
4 2014107
5 201570
6 201465
7 201557
8 201756
9 201953
10 202051
11 201350
12 201749
13 201347
14 202346
15 201843
16 202140
17 201939
18 202238
19 201335
20 201635

About Xiao Long

Xiao Long is a scholar working on Dermatology, Rehabilitation, Surgery, Pathology and Forensic Medicine and Neurology, having authored 221 papers that have together received 2.9k indexed citations. Recurring topics across this work include Facial Rejuvenation and Surgery Techniques (28 papers), Dermatologic Treatments and Research (24 papers), Breast Implant and Reconstruction (14 papers), Systemic Sclerosis and Related Diseases (14 papers), Lymphatic System and Diseases (10 papers), Wound Healing and Treatments (10 papers), Botulinum Toxin and Related Neurological Disorders (9 papers) and Reconstructive Surgery and Microvascular Techniques (9 papers). The work is most often cited by research in Aging (94 citations), Dermatology (511 citations), Rehabilitation (99 citations), Statistics, Probability and Uncertainty (116 citations) and Surgery (376 citations). Xiao Long has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nanze Yu, Jiuzuo Huang, Xiaojun Wang, Yuh‐Shan Ho, Zhiran Zou, Jing Tao Qu, Guang‐Hui Liu, Juan Carlos Izpisúa Belmonte, Weiqi Zhang and Moshi Song. Their work appears in journals such as Aesthetic Plastic Surgery, Plastic & Reconstructive Surgery, Aesthetic Surgery Journal, Journal of Cosmetic Dermatology and Annals of Plastic Surgery.

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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