Stanford Chen
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Oncology 3
- CAR-T cell therapy research 3
-
- Cellular transport and secretion 2
- Co-authors
- Aylin Carla Hanyaloglu (1 shared paper)Manojkumar A. Puthenveedu (1 shared paper)Frédéric Jean‐Alphonse (1 shared paper)Gabriel A. Vargas (2 shared papers)Mark von Zastrow (2 shared papers)Stephen M. Rosenthal (1 shared paper)Abraham Kovoor (1 shared paper)Moulay Driss Rochdi (1 shared paper)
- Journals
- Science Translational Medicine (2 papers)Journal of Biological Chemistry (2 papers)Molecular Pharmacology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Stanford Chen
6 papers receiving 891 citations
Peers
Comparison fields: 5 of 63
- Oncology 535
- Immunology 388
- Radiology, Nuclear Medicine and Imaging 194
- Pathology and Forensic Medicine 96
- Molecular Biology 243
Countries citing papers authored by Stanford Chen
This map shows the geographic impact of Stanford Chen'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 Stanford Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanford Chen more than expected).
Fields of papers citing papers by Stanford Chen
This network shows the impact of papers produced by Stanford Chen. 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 Stanford Chen. The network helps show where Stanford Chen may publish in the future.
Co-authors
The 14 scholars most cited alongside Stanford Chen, 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 | 2020 | 339 | |
| 2 | 2019 | 220 | |
| 3 | 2018 | 203 | |
| 4 | 2013 | 96 | |
| 5 | 2010 | 60 | |
| 6 | 2008 | 17 |
About Stanford Chen
Stanford Chen is a scholar working on Oncology, Cell Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 6 papers that have together received 935 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Cellular transport and secretion (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Ion Transport and Channel Regulation (1 paper), Electrolyte and hormonal disorders (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Oncology (535 citations), Immunology (388 citations), Radiology, Nuclear Medicine and Imaging (194 citations), Pathology and Forensic Medicine (96 citations) and Molecular Biology (243 citations). Stanford Chen has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Aylin Carla Hanyaloglu, Manojkumar A. Puthenveedu, Frédéric Jean‐Alphonse, Gabriel A. Vargas, Mark von Zastrow, Stephen M. Rosenthal, Abraham Kovoor, Moulay Driss Rochdi, Stephen Eric Gitelman and Éric Le Carpentier. Their work appears in journals such as Science Translational Medicine, Journal of Biological Chemistry, Molecular Pharmacology 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.