Ying Cen

1.9k total citations
122 papers, 1.3k citations indexed

About

Ying Cen is a scholar working on Surgery, Dermatology and Molecular Biology. According to data from OpenAlex, Ying Cen has authored 122 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Surgery, 34 papers in Dermatology and 29 papers in Molecular Biology. Recurrent topics in Ying Cen's work include Dermatologic Treatments and Research (27 papers), Wound Healing and Treatments (21 papers) and Reconstructive Surgery and Microvascular Techniques (12 papers). Ying Cen is often cited by papers focused on Dermatologic Treatments and Research (27 papers), Wound Healing and Treatments (21 papers) and Reconstructive Surgery and Microvascular Techniques (12 papers). Ying Cen collaborates with scholars based in China, United States and Netherlands. Ying Cen's co-authors include Junjie Chen, Zhengyong Li, Xuewen Xu, Zhenyu Zhang, Wencheng Zhou, Yong Qing, Dongmei Wu, Yong Liu, Hongfang Zhang and Siwei Bi and has published in prestigious journals such as Biomaterials, Chemical Engineering Journal and Cochrane Database of Systematic Reviews.

In The Last Decade

Ying Cen

116 papers receiving 1.3k citations

Peers

Ying Cen
Comparison fields: 5 of 113
  • Molecular Biology 300
  • Rehabilitation 265
  • Surgery 255
  • Dermatology 211
  • Epidemiology 157
Replace Corinne Scaletta with:
Corinne Scaletta Switzerland
Xiaojun Wang China
Bing Tang China
Filippo Renò Italy
Mônica Beatriz Mathor Brazil
Swathi Balaji United States
Deshka S. Foster United States
Adam J. Mamelak United States
S. Elizabeth James United Kingdom
Raquel A. Minasian United States
Corinne Scaletta Switzerland View profile →
Citations per field, relative to Ying Cen
Ying Cen · 1×
Citations per year, relative to Ying Cen
Ying Cen · 1×

Countries citing papers authored by Ying Cen

Since Specialization
Citations

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

Fields of papers citing papers by Ying Cen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Cen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Cen. A scholar is included among the top collaborators of Ying Cen 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 Ying Cen. Ying Cen 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
# Work Indexed citations
1 0
2 1
3 0
4 1
5 2
6 1
7 2
8 27
9
Poly(ϵ-Caprolactone)-Methoxypolyethylene Glycol (PCL-MPEG)-Based Micelles for Drug-Delivery: The Effect of PCL Chain Length on Blood Components, Phagocytosis, and Biodistribution
13
10 21
11 10
12 15
13 12
14 13
15 30
16 34
17 5
18 1
19 5
20 30

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026