Shih-Chen Fan

29 total papers · 482 total citations
20 papers, 351 citations indexed

About

Shih-Chen Fan is a scholar working on Surgery, General Health Professions and Rehabilitation. According to data from OpenAlex, Shih-Chen Fan has authored 20 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in General Health Professions and 4 papers in Rehabilitation. Recurrent topics in Shih-Chen Fan's work include Stroke Rehabilitation and Recovery (4 papers), Mesenchymal stem cell research (3 papers) and Context-Aware Activity Recognition Systems (3 papers). Shih-Chen Fan is often cited by papers focused on Stroke Rehabilitation and Recovery (4 papers), Mesenchymal stem cell research (3 papers) and Context-Aware Activity Recognition Systems (3 papers). Shih-Chen Fan collaborates with scholars based in Taiwan, United States and United Kingdom. Shih-Chen Fan's co-authors include Chia‐Ching Wu, Ya‐Ju Chang, Yi‐Chun Du, Yuan‐Yu Hsueh, Hsin-Min Lee, Tzu-Chieh Huang, Jia‐Jin Jason Chen, Chia-Wei Huang, Chien‐Yu Huang and Ho‐Chang Kuo and has published in prestigious journals such as Biomaterials, Scientific Reports and Thrombosis and Haemostasis.

In The Last Decade

Shih-Chen Fan

18 papers receiving 345 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shih-Chen Fan 93 81 77 74 61 20 351
Fahad Somaa 34 0.4× 79 1.0× 29 0.4× 37 0.5× 91 1.5× 16 321
Sung Hoon Kim 58 0.6× 69 0.9× 39 0.5× 39 0.5× 56 0.9× 38 339
Cristina Daia 43 0.5× 95 1.2× 51 0.7× 59 0.8× 39 0.6× 34 394
Susruta Manivannan 17 0.2× 46 0.6× 87 1.1× 42 0.6× 76 1.2× 35 385
Thais Raquel Martins Filippo 43 0.5× 40 0.5× 43 0.6× 27 0.4× 58 1.0× 19 360
Aleksandra Bryndal 29 0.3× 132 1.6× 76 1.0× 28 0.4× 40 0.7× 24 385
Xiangzhe Li 18 0.2× 79 1.0× 51 0.7× 31 0.4× 52 0.9× 35 318
Maya N. Hatch 54 0.6× 87 1.1× 49 0.6× 22 0.3× 94 1.5× 19 389
Gabriela Bortolança Chiarotto 31 0.3× 77 1.0× 37 0.5× 69 0.9× 79 1.3× 26 317
Caitlin Hurd 96 1.0× 95 1.2× 59 0.8× 83 1.1× 19 0.3× 19 367

Countries citing papers authored by Shih-Chen Fan

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Chen Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Chen Fan. 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 Shih-Chen Fan. The network helps show where Shih-Chen Fan may publish in the future.

Co-authorship network of co-authors of Shih-Chen Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Chen Fan. A scholar is included among the top collaborators of Shih-Chen Fan 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 Shih-Chen Fan. Shih-Chen Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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