Yan Han

3.3k citations
99 papers · 1.5k · h-index 18

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 7
    • Reconstructive Surgery and Microvascular Techniques 7
    • Facial Trauma and Fracture Management 6
    • Extracellular vesicles in disease 8

Yan Han

90 papers receiving 1.4k citations

Peers

Yan Han
Comparison fields: 5 of 118
  • Genetics 340
  • Rehabilitation 211
  • Cancer Research 284
  • Biomaterials 198
  • Molecular Biology 720
Replace Loubna Mazini with:
Loubna Mazini Morocco
Qilin Huang China
Yaoxiang Sun China
Arsalan Shabbir United States
Peipei Wu China
Jia Cao China
Rica Tanaka Japan
Shilong Han China
Una Riekstiņa Latvia
Yan Han relative to Loubna Mazini Morocco Loubna Mazini's profile →
Citations per field
00.5×12×
Loubna Mazini · 1×
Citations per year

Countries citing papers authored by Yan Han

Since Specialization
Citations

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

Fields of papers citing papers by Yan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019239
2 2018134
3 2018125
4 202178
5 202057
6 202448
7 201947
8 201634
9 201634
10 201533
11 202031
12 202327
13 201927
14 201624
15 201722
16 202122
17 202020
18 201620
19 201517
20 201517

About Yan Han

Yan Han is a scholar working on Surgery, Molecular Biology, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 99 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (13 papers), Facial Rejuvenation and Surgery Techniques (8 papers), Extracellular vesicles in disease (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), Reconstructive Surgery and Microvascular Techniques (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Wound Healing and Treatments (6 papers) and Facial Trauma and Fracture Management (6 papers). The work is most often cited by research in Genetics (340 citations), Rehabilitation (211 citations), Cancer Research (284 citations), Biomaterials (198 citations) and Molecular Biology (720 citations). Yan Han has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Yudi Han, Xuetao Pei, Yun Bai, Jing Ren, Quan Zeng, Youbai Chen, Jing Ren, Xinlong Yan, Xiaodong Li and Xuejiao Liu. Their work appears in journals such as Aesthetic Plastic Surgery, Biochemical and Biophysical Research Communications, Journal of Craniofacial Surgery, Journal of Oral and Maxillofacial Surgery 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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