Ganwei Lu

1.5k citations
18 papers · 889 · h-index 14

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Cell Adhesion Molecules Research

Papers in

    • Bone Metabolism and Diseases 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • S100 Proteins and Annexins 2
    • Cell death mechanisms and regulation 2
    • RNA Interference and Gene Delivery 2
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3

Ganwei Lu

18 papers receiving 870 citations

Peers

Ganwei Lu
Comparison fields: 5 of 69
  • Immunology 277
  • Immunology and Allergy 63
  • Oncology 230
  • Hematology 92
  • Cancer Research 117
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Ganwei Lu relative to Maya Zigler United States Maya Zigler's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ganwei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ganwei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2008199
2 2002118
3 200282
4 200678
5 200474
6 200672
7 200554
8 200748
9 201035
10 200629
11 200628
12
The V5 domain of protein kinase C plays a critical role in determining the isoform-specific localization, translocation, and biological function of protein kinase C-delta and -epsilon.
200424
13 200423
14 200418
15 20053
16 20052
17 20051
18 20051

About Ganwei Lu

Ganwei Lu is a scholar working on Molecular Biology, Immunology, Surgery, Genetics and Oncology, having authored 18 papers that have together received 889 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (4 papers), T-cell and B-cell Immunology (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Immunotherapy and Immune Responses (3 papers), S100 Proteins and Annexins (2 papers), Cell death mechanisms and regulation (2 papers), RNA Interference and Gene Delivery (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Immunology (277 citations), Immunology and Allergy (63 citations), Oncology (230 citations), Hematology (92 citations) and Cancer Research (117 citations). Ganwei Lu has collaborated with scholars based in United States, Japan and Serbia. Frequent co-authors include G. David Roodman, Nikola L. Vujanović, Qiming J. Wang, Walter J. Storkus, Bratislav Janjic, Theresa L. Whiteside, Jun Chen, Jelena M. Janjic, Noriyoshi Kurihara and Russell S. Taichman. Their work appears in journals such as Blood, Journal of Bone and Mineral Research, The Journal of Immunology, Journal of Cellular Biochemistry and Clinical Cancer Research.

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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