Ryan D. Chow

3.6k total citations · 1 hit paper
40 papers, 1.9k citations indexed

About

Ryan D. Chow is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ryan D. Chow has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Immunology. Recurrent topics in Ryan D. Chow's work include CRISPR and Genetic Engineering (12 papers), CAR-T cell therapy research (10 papers) and Immune Cell Function and Interaction (6 papers). Ryan D. Chow is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), CAR-T cell therapy research (10 papers) and Immune Cell Function and Interaction (6 papers). Ryan D. Chow collaborates with scholars based in United States, Japan and China. Ryan D. Chow's co-authors include Sidi Chen, Matthew B. Dong, Lupeng Ye, Guangchuan Wang, Youssef Errami, Xiaoyun Dai, Jennifer Chen, Jonathan J. Park, Johanna Shen and Paul Renauer and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Ryan D. Chow

33 papers receiving 1.8k citations

Hit Papers

A genome-scale gain-of-function CRISPR screen in CD8 T ce... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan D. Chow United States 21 1.2k 661 355 266 216 40 1.9k
Stephan Fricke Germany 18 705 0.6× 739 1.1× 456 1.3× 142 0.5× 131 0.6× 63 1.6k
Yuh-Ling Chen Taiwan 24 1.0k 0.9× 362 0.5× 523 1.5× 206 0.8× 216 1.0× 39 1.8k
Xin He China 27 1.3k 1.1× 456 0.7× 500 1.4× 230 0.9× 99 0.5× 132 2.4k
Ren-Yuan Bai United States 20 917 0.8× 593 0.9× 206 0.6× 154 0.6× 280 1.3× 25 1.9k
Yasuto Akiyama Japan 27 878 0.7× 937 1.4× 708 2.0× 148 0.6× 270 1.3× 128 2.2k
Raquel Blanco Spain 15 1.4k 1.1× 403 0.6× 322 0.9× 113 0.4× 86 0.4× 18 1.9k
Marianne Terndrup Pedersen Denmark 17 1.9k 1.6× 441 0.7× 346 1.0× 398 1.5× 66 0.3× 26 2.6k
Kang Hu China 19 618 0.5× 536 0.8× 216 0.6× 532 2.0× 86 0.4× 27 1.3k
Neil Ashley United Kingdom 21 1.3k 1.1× 442 0.7× 393 1.1× 403 1.5× 105 0.5× 33 2.3k
Salvador F. Aliño Spain 25 1.1k 0.9× 364 0.6× 192 0.5× 496 1.9× 95 0.4× 112 1.9k

Countries citing papers authored by Ryan D. Chow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan D. Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan D. Chow. A scholar is included among the top collaborators of Ryan D. Chow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryan D. Chow. Ryan D. Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chow, Ryan D., Ramy Sedhom, & Ronac Mamtani. (2025). Reduced-Dose Enfortumab Vedotin, Treatment Continuity, and Survival in Urothelial Cancer. JAMA Oncology. 12(1). 104–104.
2.
Elfatimi, Elhoucine, Swayam Prakash, Hawa Vahed, et al.. (2025). The Path Towards Effective Long-Lasting Tissue-Targeted Prime/Pull/Keep Herpes Simplex Therapeutic Vaccines. Vaccines. 13(9). 908–908. 2 indexed citations
3.
Mamtani, Ronac, et al.. (2025). Outcomes of enfortumab vedotin plus pembrolizumab in patients with advanced urothelial cancer and severe renal dysfunction. Urologic Oncology Seminars and Original Investigations. 44(2). 118.e1–118.e5.
4.
5.
Renauer, Paul, Giacomo Sferruzza, Luojia Yang, et al.. (2024). In vivo AAV–SB-CRISPR screens of tumor-infiltrating primary NK cells identify genetic checkpoints of CAR-NK therapy. Nature Biotechnology. 43(5). 752–761. 26 indexed citations
6.
Chow, Ryan D., Meizhu Bai, Matthew B. Dong, et al.. (2023). CTLA-4 tail fusion enhances CAR-T antitumor immunity. Nature Immunology. 24(9). 1499–1510. 32 indexed citations
7.
Chow, Ryan D., Jessica B. Long, Stephanie B. Wheeler, et al.. (2023). Disparities in immune and targeted therapy utilization for older US patients with metastatic renal cell carcinoma. JNCI Cancer Spectrum. 7(3). 5 indexed citations
8.
Chow, Ryan D., Stefania Bellone, Tobias M.P. Hartwich, et al.. (2022). Distinct Mechanisms of Mismatch-Repair Deficiency Delineate Two Modes of Response to Anti–PD-1 Immunotherapy in Endometrial Carcinoma. Cancer Discovery. 13(2). 312–331. 40 indexed citations
9.
Ye, Lupeng, Jonathan J. Park, Lei Peng, et al.. (2022). A genome-scale gain-of-function CRISPR screen in CD8 T cells identifies proline metabolism as a means to enhance CAR-T therapy. Cell Metabolism. 34(4). 595–614.e14. 143 indexed citations breakdown →
10.
Song, Jaewon, Ryan D. Chow, Mario A. Peña-Hernández, et al.. (2022). LRRC15 inhibits SARS-CoV-2 cellular entry in trans. PLoS Biology. 20(10). e3001805–e3001805. 13 indexed citations
11.
Wang, Guangchuan, Ryan D. Chow, Lvyun Zhu, et al.. (2020). CRISPR-GEMM Pooled Mutagenic Screening Identifies KMT2D as a Major Modulator of Immune Checkpoint Blockade. Cancer Discovery. 10(12). 1912–1933. 87 indexed citations
12.
Chow, Ryan D., Jennifer Chen, Johanna Shen, & Sidi Chen. (2020). A web tool for the design of prime-editing guide RNAs. Nature Biomedical Engineering. 5(2). 190–194. 116 indexed citations
13.
Ye, Lupeng, Jonathan J. Park, Matthew B. Dong, et al.. (2019). In vivo CRISPR screening in CD8 T cells with AAV–Sleeping Beauty hybrid vectors identifies membrane targets for improving immunotherapy for glioblastoma. Nature Biotechnology. 37(11). 1302–1313. 148 indexed citations
14.
Wang, Guangchuan, Ryan D. Chow, Zhigang Bai, et al.. (2019). Multiplexed activation of endogenous genes by CRISPRa elicits potent antitumor immunity. Nature Immunology. 20(11). 1494–1505. 88 indexed citations
15.
Chow, Ryan D., Guangchuan Wang, Lupeng Ye, et al.. (2019). In vivo profiling of metastatic double knockouts through CRISPR–Cpf1 screens. Nature Methods. 16(5). 405–408. 42 indexed citations
16.
Dong, Matthew B., Guangchuan Wang, Ryan D. Chow, et al.. (2019). Systematic Immunotherapy Target Discovery Using Genome-Scale In Vivo CRISPR Screens in CD8 T Cells. Cell. 178(5). 1189–1204.e23. 213 indexed citations
17.
Wang, Guangchuan, Ryan D. Chow, Lupeng Ye, et al.. (2018). Mapping a functional cancer genome atlas of tumor suppressors in mouse liver using AAV-CRISPR–mediated direct in vivo screening. Science Advances. 4(2). eaao5508–eaao5508. 72 indexed citations
18.
Tata, Purushothama Rao, Ryan D. Chow, Srinivas Vinod Saladi, et al.. (2018). Developmental History Provides a Roadmap for the Emergence of Tumor Plasticity. Developmental Cell. 44(6). 679–693.e5. 60 indexed citations
19.
Chow, Ryan D. & Sidi Chen. (2018). Sno-derived RNAs are prevalent molecular markers of cancer immunity. Oncogene. 37(50). 6442–6462. 29 indexed citations
20.
Chow, Ryan D., Christopher D. Guzman, Guangchuan Wang, et al.. (2017). AAV-mediated direct in vivo CRISPR screen identifies functional suppressors in glioblastoma. Nature Neuroscience. 20(10). 1329–1341. 175 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026