Robert Kuo

478 citations
7 papers · 400 · h-index 7

Impact in

    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

    • Immunotherapy and Immune Responses 2
    • Phagocytosis and Immune Regulation 1
    • Nanoparticle-Based Drug Delivery 2

Robert Kuo

7 papers receiving 396 citations

Peers

Robert Kuo
Comparison fields: 5 of 53
  • Immunology 141
  • Biomaterials 87
  • Drug Discovery 1
  • Pathology and Forensic Medicine 43
  • Genetics 17
Replace Madiha Zahra Syeda with:
Madiha Zahra Syeda China
Francesca Piaggio Italy
Luyen Tien Vu Singapore
Isabelle Gruber Switzerland
Yuanliang Xia China
Sadaf Khursheed Baba Qatar
Hengyi Wang China
Matthias Schröder Germany
Daniel Alexandre Ferreira Portugal
Robert Kuo relative to Madiha Zahra Syeda China Madiha Zahra Syeda's profile →
Citations per field
00.5×2×4×6×8.3×
Madiha Zahra Syeda · 1×
Citations per year

Countries citing papers authored by Robert Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Robert Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2017114
2 201991
3 201782
4 201956
5 201221
6 201319
7 201617

About Robert Kuo

Robert Kuo is a scholar working on Immunology, Biomaterials, Genetics, Neurology and Pathology and Forensic Medicine, having authored 7 papers that have together received 400 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (2 papers), Immunotherapy and Immune Responses (2 papers), Vascular Anomalies and Treatments (1 paper), Phagocytosis and Immune Regulation (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Virus-based gene therapy research (1 paper) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Immunology (141 citations), Biomaterials (87 citations), Drug Discovery (1 citation), Pathology and Forensic Medicine (43 citations) and Genetics (17 citations). Robert Kuo has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Lonnie D. Shea, Eiji Saito, Stephen D. Miller, Ryan M. Pearson, Nicholas J. C. King, Jacques Eduardo Nor, Amy J. Koh, Laurie K. McCauley, Stephanie Daignault‐Newton and William L. Young. Their work appears in journals such as Stroke, Journal of Clinical Investigation, Journal of Controlled Release, Translational Stroke Research and Biomaterials.

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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