Shih-Han Kao

36 total papers · 787 total citations
21 papers, 589 citations indexed

About

Shih-Han Kao is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Shih-Han Kao has authored 21 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Neurology and 4 papers in Genetics. Recurrent topics in Shih-Han Kao's work include Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Ubiquitin and proteasome pathways (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). Shih-Han Kao is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Ubiquitin and proteasome pathways (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). Shih-Han Kao collaborates with scholars based in Taiwan, United States and Sweden. Shih-Han Kao's co-authors include Kou‐Juey Wu, Pan‐Chyr Yang, Han‐Tsang Wu, Kuo‐Yen Huang, Tse‐Ming Hong, Shuenn‐Chen Yang, Wen‐Hwa Lee, Yi‐Ting Wang, Yu‐Ju Chen and S.‐Ja Tseng and has published in prestigious journals such as Nature Communications, ACS Nano and PLoS ONE.

In The Last Decade

Shih-Han Kao

20 papers receiving 586 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-Han Kao 412 152 112 82 71 21 589
Jianhua Chen 372 0.9× 114 0.8× 130 1.2× 71 0.9× 53 0.7× 32 622
Magdalena Rudzińska 288 0.7× 121 0.8× 121 1.1× 101 1.2× 59 0.8× 26 592
Patrycja Pawlikowska 389 0.9× 137 0.9× 177 1.6× 38 0.5× 59 0.8× 24 681
Jonghwa Jin 386 0.9× 204 1.3× 102 0.9× 63 0.8× 41 0.6× 31 685
Hongchen Cai 410 1.0× 136 0.9× 184 1.6× 38 0.5× 67 0.9× 17 572
Ola Hadadeh 340 0.8× 183 1.2× 181 1.6× 72 0.9× 94 1.3× 16 676
Thomas Plath 293 0.7× 115 0.8× 181 1.6× 93 1.1× 36 0.5× 13 536
Lukas Janker 268 0.7× 134 0.9× 171 1.5× 61 0.7× 47 0.7× 25 620
Lihua Zeng 233 0.6× 265 1.7× 135 1.2× 72 0.9× 67 0.9× 21 586
Igor Katsyv 352 0.9× 123 0.8× 139 1.2× 41 0.5× 67 0.9× 17 657

Countries citing papers authored by Shih-Han Kao

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Han Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shih-Han Kao

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Han Kao. A scholar is included among the top collaborators of Shih-Han Kao 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-Han Kao. Shih-Han Kao 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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