Jin Cheng

3.9k citations
113 papers · 2.9k indexed · 2 hit papers · h-index 27
Topics
Osteoarthritis Treatment and Mechanisms (21 papers)Knee injuries and reconstruction techniques (16 papers)Tissue Engineering and Regenerative Medicine (12 papers)
Journals
Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Jin Cheng

109 papers receiving 2.9k citations

Hit Papers

Structurally and Functionally Optimized Silk‐Fibroin–Gela...201720262020202320172020100200300400

Peers

Jin Cheng
Comparison fields: 5 of 148
  • Molecular Biology 872
  • Surgery 682
  • Biomedical Engineering 633
  • Biomaterials 584
  • Rheumatology 559
Replace Sudha Agarwal with:
Sudha Agarwal United States
Mei‐Ling Ho Taiwan
Daping Wang China
Yan Xu China
Sien Lin China
Jie Shen China
Dechun Geng China
Sun Hee South Korea
Carmelita G. Frondoza United States
Ping Ji China
Jin Cheng relative to Sudha Agarwal United States Sudha Agarwal's profile →
Citations per field
00.5×6.2×
Sudha Agarwal · 1×
Citations per year

Countries citing papers authored by Jin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Cheng. A scholar is included among the top collaborators of Jin Cheng 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 Jin Cheng. Jin Cheng 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 3
3 3
4 4
5 9
6 18
7 1
8 0
9 1
10 2
11 13
12 1
13 1
14 40
15 6
16 5
17 34
18 41
19
Based on the Established Vocabulary of Yi Automatic Segmentation System Design and Implementation
3
20 19

About Jin Cheng

Jin Cheng is a scholar working on Rheumatology, Orthopedics and Sports Medicine and Biomaterials, having authored 113 papers that have together received 2.9k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (21 papers), Knee injuries and reconstruction techniques (16 papers) and Tissue Engineering and Regenerative Medicine (12 papers). The work is most often cited by research in Biomaterials (584 citations), Rheumatology (559 citations) and Orthopedics and Sports Medicine (291 citations). Jin Cheng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaoqing Hu, Yingfang Ao, Xiaoning Duan, Jiying Zhang, Muyang Sun, Weili Shi, Bo Ren, Xin Fu, Hui‐Lei Yu and Peng Yang. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

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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