Shu‐Min Kao

809 citations
25 papers · 535 · h-index 12

Impact in

Papers in

Shu‐Min Kao

23 papers receiving 518 citations

Peers

Shu‐Min Kao
Comparison fields: 5 of 78
  • Clinical Biochemistry 121
  • Pediatrics, Perinatology and Child Health 154
  • Physiology 101
  • Rheumatology 56
  • Epidemiology 117
Replace Orlando Torres with:
Orlando Torres Colombia
Yoshinori Kohno Japan
Lawrence Greed Australia
Nancy J. Lewis United States
Diane Copeland United States
Ebenezer Satyaraj United States
Neil Henderson United Kingdom
Dolores Martín Mexico
Chad P. Haase United States
T. Dishon Israel
Shu‐Min Kao relative to Orlando Torres Colombia Orlando Torres's profile →
Citations per field
00.5×7.3×
Orlando Torres · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Shu‐Min Kao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shu‐Min Kao Line = papers co-authored together Shu‐Min Kao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010125
2 202170
3 201849
4 199237
5 199135
6 199331
7 199331
8 199123
9 201119
10 201717
11 201611
12 202111
13 199310
14 202310
15 20199
16 19908
17 20228
18 20228
19 19907
20 20215

About Shu‐Min Kao

Shu‐Min Kao is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health, Physiology, Molecular Biology and Genetics, having authored 25 papers that have together received 535 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (7 papers), Trypanosoma species research and implications (6 papers), Neonatal Health and Biochemistry (4 papers), Prenatal Screening and Diagnostics (3 papers), Rice Cultivation and Yield Improvement (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genomics and Phylogenetic Studies (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Clinical Biochemistry (121 citations), Pediatrics, Perinatology and Child Health (154 citations), Physiology (101 citations), Rheumatology (56 citations) and Epidemiology (117 citations). Shu‐Min Kao has collaborated with scholars based in Taiwan, South Africa and United Kingdom. Frequent co-authors include Chia C. Pao, ChiaC. Pao, Dau‐Ming Niu, T’sang‐T’ang Hsieh, Hung Chiang, Yves Van de Peer, Hui‐Chen Ho, Wuh‐Liang Hwu, Chuan‐Hong Kao and Jia‐Yu Xue. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Human Genetics, Human Reproduction, Scientific Reports and Rice.

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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