Yi‐Tzu Kuo

540 citations
19 papers · 326 · h-index 9

Impact in

Papers in

    • Chromosomal and Genetic Variations 7
    • Plant Molecular Biology Research 2
    • Plant Parasitism and Resistance 2
    • Plant Reproductive Biology 2

Yi‐Tzu Kuo

18 papers receiving 320 citations

Peers

Yi‐Tzu Kuo
Comparison fields: 5 of 44
  • Plant Science 222
  • Ecology, Evolution, Behavior and Systematics 60
  • Molecular Biology 185
  • Cell Biology 23
  • Experimental and Cognitive Psychology 16
Replace Alex Ríos-Moreno with:
Alex Ríos-Moreno Spain
G. Resquín-Romero Paraguay
Gu Rao China
Li Ping Tang China
Kangzhuo Ye China
Tsuyoshi Habu Japan
Tian‐Le Shi China
Yunzhi Lin China
Lisa M. Stutius United States
J. Enkerli Italy
Yi‐Tzu Kuo relative to Alex Ríos-Moreno Spain Alex Ríos-Moreno's profile →
Citations per field
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Alex Ríos-Moreno · 1×
Citations per year

Countries citing papers authored by Yi‐Tzu Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Tzu Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Tzu Kuo. 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 Yi‐Tzu Kuo. The network helps show where Yi‐Tzu Kuo may publish in the future.

Co-authors

The 25 scholars most cited alongside Yi‐Tzu Kuo, 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 Yi‐Tzu Kuo Line = papers co-authored together Yi‐Tzu Kuo links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201875
2 201149
3 202249
4 201834
5 202328
6 201919
7 202113
8 202010
9 20169
10
Anthropometric correlates of metabolic syndrome components in a diverse sample of overweight/obese women.
20088
11 20227
12 20246
13 20246
14 20225
15 20203
16 20242
17 20242
18
COMPARISON OF BODY COMPOSITION, EATING HABITS, EXERCISE HABITS, AND HIGH RISK BEHAVIOR IN TRI-RACIAL FEMALE ATHLETES
20161
19 20230

About Yi‐Tzu Kuo

Yi‐Tzu Kuo is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics and Cell Biology, having authored 19 papers that have together received 326 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), Plant Taxonomy and Phylogenetics (3 papers), Plant Reproductive Biology (2 papers), Plant Molecular Biology Research (2 papers), Plant Parasitism and Resistance (2 papers), Sports injuries and prevention (2 papers), Genetic diversity and population structure (2 papers) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Plant Science (222 citations), Ecology, Evolution, Behavior and Systematics (60 citations), Molecular Biology (185 citations), Cell Biology (23 citations) and Experimental and Cognitive Psychology (16 citations). Yi‐Tzu Kuo has collaborated with scholars based in Germany, Taiwan and United States. Frequent co-authors include Song‐Bin Chang, Andreas Houben, Ya‐Ting Chao, Martin Mascher, Jörg Fuchs, Ming‐Che Shih, Yu-Ling Lee, Jaroslav Doležel, Chia‐Chi Hsu and Zuzana Tulpová. Their work appears in journals such as Frontiers in Plant Science, Chromosome Research, Plant Biotechnology Journal, Nature Communications and Annals of Botany.

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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