Shu-Min Kao

12 total papers · 1.2k total citations
7 papers, 184 citations indexed

About

Shu-Min Kao is a scholar working on Pediatrics, Perinatology and Child Health, Physiology and Molecular Biology. According to data from OpenAlex, Shu-Min Kao has authored 7 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pediatrics, Perinatology and Child Health, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in Shu-Min Kao's work include Erythrocyte Function and Pathophysiology (2 papers), Neonatal Health and Biochemistry (2 papers) and Congenital heart defects research (1 paper). Shu-Min Kao is often cited by papers focused on Erythrocyte Function and Pathophysiology (2 papers), Neonatal Health and Biochemistry (2 papers) and Congenital heart defects research (1 paper). Shu-Min Kao collaborates with scholars based in Taiwan, China and South Africa. Shu-Min Kao's co-authors include Hsuan-Chieh Liao, Yann-Jang Chen, Chuan-Chi Chiang, Chung-Hsing Wang, Fuu‐Jen Tsai, Wei-De Lin, Chun-Kai Huang, Dau‐Ming Niu, Chia-Feng Yang and Meng‐Yao Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Pediatrics and Clinica Chimica Acta.

In The Last Decade

Shu-Min Kao

7 papers receiving 181 citations

Author Peers

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

Author Last Decade Papers Cites
Shu-Min Kao 83 50 41 40 39 7 184
Lissette Estrella 100 1.2× 64 1.3× 51 1.2× 39 1.0× 95 2.4× 9 234
J Weston 47 0.6× 51 1.0× 29 0.7× 29 0.7× 72 1.8× 6 226
Pietro De Togni 29 0.3× 21 0.4× 21 0.5× 98 2.5× 60 1.5× 10 258
Devin Champagne 43 0.5× 25 0.5× 14 0.3× 74 1.9× 99 2.5× 8 255
K. Robin Carder 96 1.2× 18 0.4× 21 0.5× 41 1.0× 24 0.6× 11 237
Awo D. Osafo-Addo 21 0.3× 65 1.3× 43 1.0× 99 2.5× 100 2.6× 6 273
Sumnima Singh 32 0.4× 63 1.3× 37 0.9× 113 2.8× 60 1.5× 7 291
Emma L. Cambridge 44 0.5× 31 0.6× 17 0.4× 64 1.6× 29 0.7× 8 217
Jill Hardin 50 0.6× 28 0.6× 17 0.4× 95 2.4× 6 0.2× 11 248
Tracey Bishop 50 0.6× 10 0.2× 132 3.2× 53 1.3× 5 0.1× 10 230

Countries citing papers authored by Shu-Min Kao

Since Specialization
Citations

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

Fields of papers citing papers by Shu-Min Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu-Min Kao

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