Darin Chin
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
- CAR-T cell therapy research
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 5
- Lung Cancer Research Studies 2
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- Immune Cell Function and Interaction 2
- Co-authors
- Joginder Singh (1 shared paper)Claudio E. Chuaqui (1 shared paper)Wendy Gilbert (1 shared paper)Jaana T. Karttunen (1 shared paper)Debattama R. Sen (1 shared paper)
- Journals
- Cancer Immunology Research (1 paper)Clinical Cancer Research (1 paper)Mini-Reviews in Medicinal Chemistry (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Cell Reports (1 paper)
- Partner nations
- United States
In The Last Decade
Darin Chin
8 papers receiving 588 citations
Darin Chin's Hit Papers
Peers
Comparison fields: 5 of 52
- Oncology 378
- Immunology 178
- Pulmonary and Respiratory Medicine 248
- Genetics 59
- Cancer Research 59
Countries citing papers authored by Darin Chin
This map shows the geographic impact of Darin Chin'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 Darin Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darin Chin more than expected).
Fields of papers citing papers by Darin Chin
This network shows the impact of papers produced by Darin Chin. 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 Darin Chin. The network helps show where Darin Chin may publish in the future.
Co-authors
The 5 scholars most cited alongside Darin Chin, 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 | The CDK4/6 Inhibitor Abemaciclib Induces a T Cell Inflamed Tumor Microenvironment and Enhances the Efficacy of PD-L1 Checkpoint Blockade Hit paper breakdown → | 2018 | 365 |
| 2 | 2019 | 114 | |
| 3 | 2020 | 62 | |
| 4 | 2018 | 21 | |
| 5 | 2020 | 15 | |
| 6 | 2004 | 14 | |
| 7 | Murine memory B cells are multi-isotype expressors. | 1991 | 7 |
| 8 | 2018 | 3 |
About Darin Chin
Darin Chin is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 601 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Research Studies (2 papers), Advanced Breast Cancer Therapies (2 papers), Immune Cell Function and Interaction (2 papers), Steroid Chemistry and Biochemistry (1 paper), Glycosylation and Glycoproteins Research (1 paper), Computational Drug Discovery Methods (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Oncology (378 citations), Immunology (178 citations), Pulmonary and Respiratory Medicine (248 citations), Genetics (59 citations) and Cancer Research (59 citations). Darin Chin has collaborated with scholars based in United States. Frequent co-authors include Joginder Singh, Claudio E. Chuaqui, Wendy Gilbert, Jaana T. Karttunen and Debattama R. Sen. Their work appears in journals such as Cancer Immunology Research, Clinical Cancer Research, Mini-Reviews in Medicinal Chemistry, Journal for ImmunoTherapy of Cancer and Cell Reports.
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.