Paula Kuo

1.1k citations
38 papers · 767 indexed · h-index 17

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • Immunotherapy and Immune Responses 13
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 7
    • Bacteriophages and microbial interactions 8

Paula Kuo

38 papers receiving 745 citations

Peers

Paula Kuo
Comparison fields: 5 of 91
  • Immunology 286
  • Hepatology 69
  • Oncology 158
  • Molecular Biology 283
  • Developmental Neuroscience 15
Replace Laura Carramolino with:
Laura Carramolino Spain
Shinichiro Tsuyama Japan
Stephen A. Chappell United States
Roger B. Slee United States
Ri‐Ichiroh Manabe Japan
Joshua W. Ziel United States
Laurie A. Dempsey United States
B. Decock Belgium
Jumin Zhou United States
Jennifer M. Love New Zealand
Paula Kuo relative to Laura Carramolino Spain Laura Carramolino's profile →
Citations per field
00.5×6.9×
Laura Carramolino · 1×
Citations per year

Countries citing papers authored by Paula Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Paula Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20232
3 202216
4 202046
5 20204
6 201911
7 2018128
8 20186
9 201719
10 20177
11 201723
12 201625
13 201026
14 200719
15 200311
16 20018
17 200113
18 19997
19 19994
20 199413

About Paula Kuo

Paula Kuo is a scholar working on Immunology, Ecology, Toxicology, Plant Science and Cell Biology, having authored 38 papers that have together received 767 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (9 papers), Bacteriophages and microbial interactions (8 papers), T-cell and B-cell Immunology (7 papers), Plant Pathogenic Bacteria Studies (6 papers), Genomics and Phylogenetic Studies (5 papers), Plant Virus Research Studies (3 papers) and Cervical Cancer and HPV Research (3 papers). The work is most often cited by research in Immunology (286 citations), Hepatology (69 citations), Oncology (158 citations), Molecular Biology (283 citations) and Developmental Neuroscience (15 citations). Paula Kuo has collaborated with scholars based in Taiwan, Australia and China. Frequent co-authors include Graham R. Leggatt, Yi‐Ping Hsueh, James W. Wells, Ian H. Frazer, Zhen Zeng, Zewen Kelvin Tuong, Tsune Kosuge, Charlotte J. Imianowski, Klaus Okkenhaug and Jie Yang. Their work appears in journals such as Journal of General Virology, Journal of Virology, Frontiers in Immunology, The Journal of Experimental Medicine and Applied Microbiology and 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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