Kun‐Hui Lu

539 citations
8 papers · 381 · h-index 6

Impact in

    • Galectins and Cancer Biology
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • CAR-T cell therapy research
    • Cancer-related Molecular Pathways
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Protein Tyrosine Phosphatases 2
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Galectins and Cancer Biology 1

Kun‐Hui Lu

8 papers receiving 377 citations

Peers

Kun‐Hui Lu
Comparison fields: 5 of 50
  • Immunology 143
  • Oncology 163
  • Molecular Biology 212
  • Genetics 24
  • Cancer Research 24
Replace Inge S. van Houdt with:
Inge S. van Houdt Netherlands
Ryota Kondou Japan
Purnima K. Wagh United States
C Jin United States
Jeenah Park United States
Simona Nuzzo Italy
Pauline L. de Goeje Netherlands
Victoria L. Peek United States
Christine Odoux United States
Debarati Banik United States
Kun‐Hui Lu relative to Inge S. van Houdt Netherlands Inge S. van Houdt's profile →
Citations per field
00.5×12.1×
Inge S. van Houdt · 1×
Citations per year

Countries citing papers authored by Kun‐Hui Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Hui Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Hui Lu. 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 Kun‐Hui Lu. The network helps show where Kun‐Hui Lu may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2021101
2 201999
3 202376
4 201351
5 201733
6 201515
7 20155
8 20121

About Kun‐Hui Lu

Kun‐Hui Lu is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Surgery and Pharmacology, having authored 8 papers that have together received 381 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Protein Tyrosine Phosphatases (2 papers), Synthesis and Biological Evaluation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Galectins and Cancer Biology (1 paper), Diabetes and associated disorders (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Immunology (143 citations), Oncology (163 citations), Molecular Biology (212 citations), Genetics (24 citations) and Cancer Research (24 citations). Kun‐Hui Lu has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Tony Tiganis, Florian Wiede, Pei Kee Goh, Xin Du, Paul A. Beavis, Phillip K. Darcy, Garron T. Dodd, Nicholas K. Tonks, Roger J. Daly and Kevin Sek. Their work appears in journals such as Cancer Discovery, Frontiers in Immunology, Nature Immunology, The EMBO Journal and European Journal of Cancer.

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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