Shinan Geng

750 total citations
21 papers, 615 citations indexed

About

Shinan Geng is a scholar working on Biomedical Engineering, Biomaterials and Materials Chemistry. According to data from OpenAlex, Shinan Geng has authored 21 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Biomaterials and 5 papers in Materials Chemistry. Recurrent topics in Shinan Geng's work include Nanoparticle-Based Drug Delivery (8 papers), Nanoplatforms for cancer theranostics (7 papers) and Veterinary medicine and infectious diseases (3 papers). Shinan Geng is often cited by papers focused on Nanoparticle-Based Drug Delivery (8 papers), Nanoplatforms for cancer theranostics (7 papers) and Veterinary medicine and infectious diseases (3 papers). Shinan Geng collaborates with scholars based in China, United States and Hong Kong. Shinan Geng's co-authors include Yanbing Zhao, Xiangliang Yang, Hao Zhao, Guiting Zhan, Xiaole Peng, Jiangshan Wan, Xiaohong Chen, Richard J. Miron, Qiao Zhang and Yufeng Zhang and has published in prestigious journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and Journal of Controlled Release.

In The Last Decade

Shinan Geng

20 papers receiving 609 citations

Peers

Shinan Geng
Comparison fields: 5 of 86
  • Biomedical Engineering 344
  • Biomaterials 240
  • Materials Chemistry 138
  • Molecular Biology 110
  • Molecular Medicine 68
Replace Ansuja Pulickal Mathew with:
Ansuja Pulickal Mathew South Korea
Sue Hyun Lee South Korea
Xueli Zhao China
Yanting Wu China
Dinglingge Cao China
Xinquan Jiang China
Han Tang China
Zhi Pan United States
Akhil Patel United States
Vianni Chopra India
Ansuja Pulickal Mathew South Korea View profile →
Citations per field, relative to Shinan Geng
Shinan Geng · 1×
Citations per year, relative to Shinan Geng
Shinan Geng · 1×

Countries citing papers authored by Shinan Geng

Since Specialization
Citations

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

Fields of papers citing papers by Shinan Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinan Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Shinan Geng. A scholar is included among the top collaborators of Shinan Geng 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 Shinan Geng. Shinan Geng 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 47
3 17
4 20
5 42
6 96
7 39
8 27
9 3
10 50
11 43
12 35
13 55
14 66
15 6
16 21
17 1
18
Pharmacologic and toxicologic study of prostaglandin F2alpha in cattle.
3
19 10
20 2

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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