William Lu

834 citations
9 papers · 633 · 1 hit paper · h-index 5

Impact in

  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Immunotherapy and Immune Responses

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 2
    • CAR-T cell therapy research 1
    • Cancer Immunotherapy and Biomarkers 1
    • Alzheimer's disease research and treatments 2

William Lu

9 papers receiving 615 citations

William Lu's Hit Papers

Non-viral precision T cell receptor replacement for personalized cell therapy 2022 · 214 citations
2140+1+2Years since publication50100150200

Peers

William Lu
Comparison fields: 5 of 52
  • Oncology 374
  • Immunology 132
  • Psychiatry and Mental health 42
  • Hepatology 17
  • Physiology 46
Replace Pankaj Gaur with:
Pankaj Gaur United States
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Erin E. Shannon United States
Yaiza del Pozo Martín Spain
Andrew C. McClary United States
Christina Seitz Sweden
Sung-Nam Cho United States
Yasuo Mukai Japan
Phillip S. Gross United States
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William Lu relative to Pankaj Gaur United States Pankaj Gaur's profile →
Citations per field
00.5×2×3×4.3×
Pankaj Gaur · 1×
Citations per year

Countries citing papers authored by William Lu

Since Specialization
Citations

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

Fields of papers citing papers by William Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Non-viral precision T cell receptor replacement for personalized cell therapy
Hit paper breakdown →
2022214
2 2023128
3 2013125
4 2020105
5 201450
6 20185
7 20184
8 20251
9 20251

About William Lu

William Lu is a scholar working on Oncology, Physiology, Biotechnology, Molecular Biology and Nuclear Energy and Engineering, having authored 9 papers that have together received 633 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (2 papers), Alzheimer's disease research and treatments (2 papers), Melanoma and MAPK Pathways (2 papers), Cancer Research and Treatments (1 paper), CAR-T cell therapy research (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Oncology (374 citations), Immunology (132 citations), Psychiatry and Mental health (42 citations), Hepatology (17 citations) and Physiology (46 citations). William Lu has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Basem N. Azab, Scott W. Bloom, Neeraj Nailesh Shah, Nicolas R. Barthélemy, Randall John Bateman, Haiyan Liu, Paul T. Kotzbauer, Brendan P. Lucey, Farhan Mohammed and Grant A. McArthur. Their work appears in journals such as Nature, JCO Precision Oncology, Cancer Biomarkers, Journal of Clinical Investigation and Oncotarget.

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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