Ryan D. Chow
Impact in
Papers in
-
- CRISPR and Genetic Engineering 12
- Single-cell and spatial transcriptomics 4
- Oncology 14
- CAR-T cell therapy research 10
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Sidi Chen (20 shared papers)Lupeng Ye (11 shared papers)Matthew B. Dong (10 shared papers)Guangchuan Wang (11 shared papers)Youssef Errami (8 shared papers)Xiaoyun Dai (7 shared papers)Jennifer Chen (3 shared papers)Jonathan J. Park (7 shared papers)
- Journals
- Nature Biotechnology (4 papers)Cancer Discovery (3 papers)Nature Immunology (2 papers)Urologic Oncology Seminars and Original Investigations (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Ryan D. Chow
32 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 112
- Aging 57
- Oncology 645
- Business and International Management 42
- Molecular Biology 1.2k
- Immunology 340
Countries citing papers authored by Ryan D. Chow
This map shows the geographic impact of Ryan D. Chow'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 Ryan D. Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan D. Chow more than expected).
Fields of papers citing papers by Ryan D. Chow
This network shows the impact of papers produced by Ryan D. Chow. 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 Ryan D. Chow. The network helps show where Ryan D. Chow may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan D. Chow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 225 | |
| 2 | 2017 | 176 | |
| 3 | 2019 | 153 | |
| 4 | 2022 | 150 | |
| 5 | 2015 | 129 | |
| 6 | 2020 | 122 | |
| 7 | 2021 | 102 | |
| 8 | 2018 | 97 | |
| 9 | 2019 | 90 | |
| 10 | 2020 | 90 | |
| 11 | 2018 | 79 | |
| 12 | 2018 | 72 | |
| 13 | 2018 | 63 | |
| 14 | 2021 | 57 | |
| 15 | 2022 | 44 | |
| 16 | 2019 | 43 | |
| 17 | 2023 | 37 | |
| 18 | 2023 | 35 | |
| 19 | 2024 | 33 | |
| 20 | 2018 | 30 |
About Ryan D. Chow
Ryan D. Chow is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Surgery, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), CAR-T cell therapy research (10 papers), Single-cell and spatial transcriptomics (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers), Virus-based gene therapy research (4 papers), Cancer Genomics and Diagnostics (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Aging (57 citations), Oncology (645 citations), Business and International Management (42 citations), Molecular Biology (1.2k citations) and Immunology (340 citations). Ryan D. Chow has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Sidi Chen, Lupeng Ye, Matthew B. Dong, Guangchuan Wang, Youssef Errami, Xiaoyun Dai, Jennifer Chen, Jonathan J. Park, Johanna Shen and Paul Renauer. Their work appears in journals such as Nature Biotechnology, Cancer Discovery, Nature Immunology, Urologic Oncology Seminars and Original Investigations and Nature Communications.
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.