Wen Shi

3.2k total citations · 1 hit paper
62 papers, 2.6k citations indexed

About

Wen Shi is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wen Shi has authored 62 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Biomedical Engineering and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Wen Shi's work include 3D Printing in Biomedical Research (10 papers), Nerve injury and regeneration (8 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). Wen Shi is often cited by papers focused on 3D Printing in Biomedical Research (10 papers), Nerve injury and regeneration (8 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). Wen Shi collaborates with scholars based in United States, China and United Kingdom. Wen Shi's co-authors include Bin Duan, Mitchell Kuss, Adrian L. Harris, Yunfan Kong, Jiliang Li, Richard C.A. Sainson, Xiping Jiang, Shaohua Wu, Laura Harrington and Wen Xue and has published in prestigious journals such as ACS Nano, The Journal of Immunology and Biomaterials.

In The Last Decade

Wen Shi

61 papers receiving 2.5k citations

Hit Papers

Multifunctional Microgel-Based Cream Hydrogels for Postop... 2023 2026 2024 2025 2023 20 40 60

Peers

Wen Shi
Comparison fields: 5 of 116
  • Molecular Biology 938
  • Biomedical Engineering 790
  • Biomaterials 461
  • Surgery 388
  • Oncology 382
Replace Giulio Ghersi with:
Giulio Ghersi Italy
In‐Sun Hong South Korea
George S. Hussey United States
Wei Song China
Zhiyuan Zhang China
Virginie Sottile United Kingdom
Xun Sun China
Yongchao Mou United States
Byung Hyune Choi South Korea
Jun Fan China
Giulio Ghersi Italy View profile →
Citations per field, relative to Wen Shi
Wen Shi · 1×
Citations per year, relative to Wen Shi
Wen Shi · 1×

Countries citing papers authored by Wen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Shi. A scholar is included among the top collaborators of Wen Shi 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 Wen Shi. Wen Shi 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 4
2 1
3 15
4 19
5 11
6 47
7 14
8 116
9 81
10 79
11 25
12 36
13 69
14 17
15 14
16 17
17 29
18 3
19 187
20 242

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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