Ke Cheng

8.8k citations
92 papers · 6.3k indexed · 4 hit papers · h-index 45
Topics
Tissue Engineering and Regenerative Medicine (36 papers)Electrospun Nanofibers in Biomedical Applications (26 papers)Extracellular vesicles in disease (21 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Ke Cheng

85 papers receiving 6.2k citations

Hit Papers

Tumor cell-derived exosomes home to their cells of origin...20202026202220242020202420232024100200300

Peers

Ke Cheng
Comparison fields: 5 of 125
  • Molecular Biology 3.5k
  • Surgery 2.3k
  • Biomaterials 1.6k
  • Biomedical Engineering 1.4k
  • Cancer Research 983
Replace Ke Cheng with:
Ke Cheng United States
Ke Huang China
Zongjin Li China
Steven M. Jay United States
Juan M. Melero‐Martin United States
Patrick C.H. Hsieh Taiwan
Sharon Gerecht United States
Thomas H. Barker United States
C. Patrick United States
Jochen Ringe Germany
Ke Cheng relative to Ke Cheng United States Ke Cheng's profile →
Citations per field
00.5×1.5×
Ke Cheng · 1×
Citations per year

Countries citing papers authored by Ke Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ke Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Cheng. A scholar is included among the top collaborators of Ke 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 Ke Cheng. Ke 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 0
2 4
3 12
4 0
5
Stem cell-derived exosome versus stem cell therapybreakdown →
134
6 14
7 147
8 46
9
Tumor cell-derived exosomes home to their cells of origin and can be used as Trojan horses to deliver cancer drugsbreakdown →
325
10 31
11 37
12 249
13 311
14 65
15 52
16
Abstract 14781: Intracoronary Cardiosphere-Derived Cells for Heart Regeneration after Myocardial Infarction: Determinants of Regenerative Efficacy in the Final 1-Year Results of the CADUCEUS Trial
2
17 65
18 343
19 4
20 64

About Ke Cheng

Ke Cheng is a scholar working on Biomaterials, Genetics and Surgery, having authored 92 papers that have together received 6.3k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (36 papers), Electrospun Nanofibers in Biomedical Applications (26 papers) and Extracellular vesicles in disease (21 papers). The work is most often cited by research in Biomaterials (1.6k citations), Genetics (767 citations) and Cancer Research (983 citations). Ke Cheng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Shiqi Hu, Ke Huang, Deliang Shen, Eduardo Marbán, Tao‐Sheng Li, Zhenhua Li, Teng Su, Jhon Cores, Michael Taylor Hensley and Konstantinos Malliaras. Their work appears in journals such as Advanced Materials, Circulation and Nature Communications.

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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