Jincheng Tang

3.0k citations
70 papers · 2.5k indexed · 1 hit paper · h-index 23
Topics
Bone Tissue Engineering Materials (20 papers)Electrospun Nanofibers in Biomedical Applications (12 papers)Graphene and Nanomaterials Applications (10 papers)
Journals
Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Jincheng Tang

66 papers receiving 2.4k citations

Hit Papers

Modulation of Local Overactive Inflammation via Injectabl...2021202620222024202150100150

Peers

Jincheng Tang
Comparison fields: 5 of 115
  • Biomedical Engineering 1.1k
  • Biomaterials 784
  • Surgery 614
  • Pathology and Forensic Medicine 282
  • Automotive Engineering 270
Replace Mitchell Kuss with:
Mitchell Kuss United States
Bin Wu China
Mahrokh Dadsetan United States
Chiara Tonda‐Turo Italy
Binbin Sun China
Deepak M. Kalaskar United Kingdom
Fengxuan Han China
Meifeng Zhu China
Qingqiang Yao China
Chao Xu China
Jincheng Tang relative to Mitchell Kuss United States Mitchell Kuss's profile →
Citations per field
00.5×5.1×
Mitchell Kuss · 1×
Citations per year

Countries citing papers authored by Jincheng Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jincheng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jincheng Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jincheng Tang. A scholar is included among the top collaborators of Jincheng Tang 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 Jincheng Tang. Jincheng Tang 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 2
2 1
3 2
4 1
5 2
6 11
7 21
8 12
9 8
10 7
11 20
12 9
13 3
14 3
15 23
16 1
17 38
18 3
19 114
20 183

About Jincheng Tang

Jincheng Tang is a scholar working on Biomaterials, Health Informatics and Pathology and Forensic Medicine, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (20 papers), Electrospun Nanofibers in Biomedical Applications (12 papers) and Graphene and Nanomaterials Applications (10 papers). The work is most often cited by research in Biomaterials (784 citations), Molecular Medicine (148 citations) and Biomedical Engineering (1.1k citations). Jincheng Tang has collaborated with scholars based in China, Portugal and United Kingdom. Frequent co-authors include Yong Gu, Liang Chen, Wenguo Cui, Kun Xi, Liang Wu, Lianfu Deng, Feng Cai, Ruoyu Cheng, Yichang Xu and Tianwen Xin. 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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