Patrick Z. Yu

454 citations
3 papers · 280 · 1 hit paper · h-index 3

Impact in

    • Cancer Genomics and Diagnostics
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Cancer Genomics and Diagnostics 3
    • Pancreatic and Hepatic Oncology Research 2
    • Cancer Cells and Metastasis 1

Patrick Z. Yu

3 papers receiving 278 citations

Patrick Z. Yu's Hit Papers

Single-nucleus and spatial transcriptome profiling of pancreatic cancer identifies multicellular dynamics associated with neoadjuvant treatment 2022 · 273 citations
2730+1+2Years since publication50100150200250

Peers

Patrick Z. Yu
Comparison fields: 5 of 36
  • Cancer Research 78
  • Oncology 129
  • Immunology 47
  • Molecular Biology 136
  • Biophysics 8
Replace Jorge Roldán with:
Jorge Roldán United States
Marion Joy United States
Susanne Dettwiler Switzerland
Dustin Rollins United States
Einav Somech Israel
Cenzhu Wang China
Fiona Lee Singapore
Dominique Camat Macalinao Singapore
Robert Hapke United States
Liam Jenkins United Kingdom
Patrick Z. Yu relative to Jorge Roldán United States Jorge Roldán's profile →
Citations per field
00.5×1.5×
Jorge Roldán · 1×
Citations per year

Countries citing papers authored by Patrick Z. Yu

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Z. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Z. Yu. 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 Patrick Z. Yu. The network helps show where Patrick Z. Yu may publish in the future.

Co-authors

The 17 scholars most cited alongside Patrick Z. Yu, 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 Patrick Z. Yu Line = papers co-authored together Patrick Z. Yu links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Single-nucleus and spatial transcriptome profiling of pancreatic cancer identifies multicellular dynamics associated with neoadjuvant treatment
Hit paper breakdown →
2022273
2 20214
3 20253

About Patrick Z. Yu

Patrick Z. Yu is a scholar working on Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 3 papers that have together received 280 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Ferroptosis and cancer prognosis (1 paper), Cancer Cells and Metastasis (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (78 citations), Oncology (129 citations), Immunology (47 citations), Molecular Biology (136 citations) and Biophysics (8 citations). Patrick Z. Yu has collaborated with scholars based in United States. Frequent co-authors include Jimmy A. Guo, Peter Chen, Daniel Yan Zhao, Kevin S. Kapner, Seema Chugh, Joseph Douglas Mancias, Julien Dilly, Francisca Vázquez, Harshabad Singh and William L. Hwang. Their work appears in journals such as Cell Reports, Nature Genetics and Cancer Informatics.

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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