Rita Kuo

1.5k citations
16 papers · 285 · h-index 11

Impact in

    • Plant-Microbe Interactions and Immunity
    • Plant Pathogenic Bacteria Studies
    • Legume Nitrogen Fixing Symbiosis
    • Plant Virus Research Studies

Papers in

    • Protist diversity and phylogeny 3
    • Genomics and Phylogenetic Studies 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • CRISPR and Genetic Engineering 2
    • Microbial Community Ecology and Physiology 4

Rita Kuo

16 papers receiving 284 citations

Peers

Rita Kuo
Comparison fields: 5 of 43
  • Plant Science 132
  • Endocrinology 13
  • Ecology 56
  • Molecular Biology 139
  • Biotechnology 14
Replace Maija Pollari with:
Maija Pollari Finland
Yanchun You China
Wen Ming Chen China
Thomas Lane United States
Mareike Viebahn Netherlands
Bradley W. Abramson United States
J. A. Lauritis United States
Natalie Vande Pol United States
Dhruv Patel‐Tupper United States
Evan Ernst United States
Rita Kuo relative to Maija Pollari Finland Maija Pollari's profile →
Citations per field
00.5×1.5×2.1×
Maija Pollari · 1×
Citations per year

Countries citing papers authored by Rita Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Rita Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201593
2 201239
3 201828
4 202420
5 202318
6 201316
7 201613
8 201712
9 201810
10 201710
11 202010
12 20205
13 20184
14 20183
15 20243
16 20181

About Rita Kuo

Rita Kuo is a scholar working on Molecular Biology, Ecology, Plant Science, Renewable Energy, Sustainability and the Environment and Genetics, having authored 16 papers that have together received 285 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (4 papers), Algal biology and biofuel production (3 papers), Protist diversity and phylogeny (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Genomics and Phylogenetic Studies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bacterial Genetics and Biotechnology (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Plant Science (132 citations), Endocrinology (13 citations), Ecology (56 citations), Molecular Biology (139 citations) and Biotechnology (14 citations). Rita Kuo has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include Senjie Lin, Vasanth Singan, Nicholas Holton, Patrick E. Canlas, Christopher J. Petzold, Cyril Zipfel, Ofir Bahar, Benjamin Schwessinger, Chris Daum and Vladimir Nekrasov. Their work appears in journals such as PLoS ONE, Journal of Industrial Microbiology & Biotechnology, Memórias do Instituto Oswaldo Cruz, Frontiers in Microbiology and Nature Biotechnology.

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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