Gerald Chu
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
- Oncology 7
- CAR-T cell therapy research 4
- Cytokine Signaling Pathways and Interactions 2
- PARP inhibition in cancer therapy 1
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- Renal and related cancers 2
- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Zhihu Ding (2 shared papers)Ronald A. DePinho (2 shared papers)Ramya Kollipara (1 shared paper)Lynda Chin (1 shared paper)Diego H. Castrillón (1 shared paper)D. Gary Gilliland (1 shared paper)Ji-Hye Paik (1 shared paper)Yonghong Xiao (1 shared paper)
- Journals
- Cancer Research (5 papers)Clinical Cancer Research (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Blood (1 paper)Cell (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Gerald Chu
13 papers receiving 1.2k citations
Gerald Chu's Hit Papers
Peers
Comparison fields: 5 of 74
- Aging 158
- Geriatrics and Gerontology 69
- Molecular Biology 900
- Cancer Research 180
- Hematology 100
Countries citing papers authored by Gerald Chu
This map shows the geographic impact of Gerald 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 Gerald Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Chu more than expected).
Fields of papers citing papers by Gerald Chu
This network shows the impact of papers produced by Gerald 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 Gerald Chu. The network helps show where Gerald Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerald Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | FoxOs Are Lineage-Restricted Redundant Tumor Suppressors and Regulate Endothelial Cell Homeostasis Hit paper breakdown → | 2007 | 884 |
| 2 | 2020 | 124 | |
| 3 | 2010 | 119 | |
| 4 | 2020 | 37 | |
| 5 | 2020 | 9 | |
| 6 | 2022 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2025 | 1 | |
| 9 | 2014 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2023 | 0 |
About Gerald Chu
Gerald Chu is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Prostate Cancer Treatment and Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Renal and related cancers (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Aging (158 citations), Geriatrics and Gerontology (69 citations), Molecular Biology (900 citations), Cancer Research (180 citations) and Hematology (100 citations). Gerald Chu has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Zhihu Ding, Ronald A. DePinho, Ramya Kollipara, Lynda Chin, Diego H. Castrillón, D. Gary Gilliland, Ji-Hye Paik, Yonghong Xiao, James W. Horner and Daniel R. Carrasco. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Clinical Pharmacology & Therapeutics, Blood 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.