Tim Chu

1.2k citations
4 papers · 851 · 1 hit paper · h-index 4

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

Tim Chu

4 papers receiving 849 citations

Tim Chu's Hit Papers

Immune and genomic correlates of response to anti-PD-1 immunotherapy in glioblastoma 2019 · 701 citations
7010+2+4Years since publication200400600

Peers

Tim Chu
Comparison fields: 5 of 76
  • Genetics 282
  • Immunology 271
  • Oncology 287
  • Cancer Research 114
  • Neurology 46
Replace Yeup Yoon with:
Yeup Yoon South Korea
Alicia Francis United States
Sarah K. Charbonneau United States
Steve Guerrero United States
Markella Zannikou United States
Koen Van der Borght Belgium
Pravesh Gupta United States
Jill A. Gershan United States
Catherine P. Langford United States
Raziye Piranlioglu United States
Tim Chu relative to Yeup Yoon South Korea Yeup Yoon's profile →
Citations per field
00.5×2×3×4.2×
Yeup Yoon · 1×
Citations per year

Countries citing papers authored by Tim Chu

Since Specialization
Citations

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

Fields of papers citing papers by Tim Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Tim Chu, 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 Tim Chu Line = papers co-authored together Tim Chu links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Immune and genomic correlates of response to anti-PD-1 immunotherapy in glioblastoma
Hit paper breakdown →
2019701
2 2019104
3 202036
4 201610

About Tim Chu

Tim Chu is a scholar working on Modeling and Simulation, Genetics, Cancer Research, Molecular Biology and Immunology, having authored 4 papers that have together received 851 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper), Ferroptosis and cancer prognosis (1 paper), vaccines and immunoinformatics approaches (1 paper), interferon and immune responses (1 paper), Mathematical Biology Tumor Growth (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Genetics (282 citations), Immunology (271 citations), Oncology (287 citations), Cancer Research (114 citations) and Neurology (46 citations). Tim Chu has collaborated with scholars based in United States and Spain. Frequent co-authors include Raúl Rabadán, Sagi D. Shapira, Gorka Lasso, E. Winkelmann, Barry H. Honig, Juan Ángel Patiño-Galindo, Sandra Vanderli Mayer, Pablo G. Cámara, Luís Arnes and Daniel I. S. Rosenbloom. Their work appears in journals such as Nature Communications, Nature Medicine, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer and Cell.

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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