Junwei Shi

14.7k total citations · 4 hit papers
105 papers, 7.3k citations indexed

About

Junwei Shi is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Junwei Shi has authored 105 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 21 papers in Hematology and 19 papers in Genetics. Recurrent topics in Junwei Shi's work include Protein Degradation and Inhibitors (22 papers), Hemoglobinopathies and Related Disorders (19 papers) and RNA modifications and cancer (16 papers). Junwei Shi is often cited by papers focused on Protein Degradation and Inhibitors (22 papers), Hemoglobinopathies and Related Disorders (19 papers) and RNA modifications and cancer (16 papers). Junwei Shi collaborates with scholars based in United States, China and Austria. Junwei Shi's co-authors include Christopher R. Vakoc, Eric Wang, Joseph P. Milazzo, Johannes Zuber, Scott W. Lowe, Meredith J. Taylor, Amy Rappaport, Justin B. Kinney, Jun Qi and Scott C. Kogan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Junwei Shi

97 papers receiving 7.2k citations

Hit Papers

RNAi screen identifies Br... 2011 2026 2016 2021 2011 2017 2014 2015 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junwei Shi 6.2k 1.5k 1.3k 808 513 105 7.3k
Rolf Marschalek 3.3k 0.5× 2.0k 1.4× 569 0.4× 412 0.5× 395 0.8× 225 5.4k
Roy M. Pollock 5.4k 0.9× 958 0.7× 636 0.5× 368 0.5× 385 0.8× 55 6.4k
Adrian P. Bracken 7.4k 1.2× 392 0.3× 1.1k 0.8× 1.2k 1.4× 553 1.1× 47 8.5k
Mark Rolfe 4.6k 0.7× 471 0.3× 2.5k 1.8× 570 0.7× 407 0.8× 55 6.0k
Robert J. Sims 5.6k 0.9× 731 0.5× 736 0.5× 351 0.4× 311 0.6× 50 6.1k
Daniel E. Bauer 7.3k 1.2× 1.2k 0.8× 890 0.7× 2.0k 2.5× 560 1.1× 108 9.4k
Bruce E. Clurman 7.8k 1.3× 547 0.4× 4.2k 3.1× 1.2k 1.5× 641 1.2× 77 9.6k
Beric R. Henderson 4.1k 0.7× 588 0.4× 753 0.6× 427 0.5× 206 0.4× 90 5.1k
Takeshi Urano 7.7k 1.2× 285 0.2× 1.5k 1.1× 799 1.0× 910 1.8× 198 9.4k
David T. Weaver 6.5k 1.1× 336 0.2× 2.6k 2.0× 1.3k 1.6× 1.4k 2.6× 150 9.0k

Countries citing papers authored by Junwei Shi

Since Specialization
Citations

This map shows the geographic impact of Junwei Shi'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 Junwei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Shi more than expected).

Fields of papers citing papers by Junwei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junwei Shi. 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 Junwei Shi. The network helps show where Junwei Shi may publish in the future.

Co-authorship network of co-authors of Junwei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Junwei Shi. A scholar is included among the top collaborators of Junwei Shi 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 Junwei Shi. Junwei Shi 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.
Abdulmalik, Osheiza, Belinda Giardine, Cheryl A. Keller, et al.. (2025). Highly discriminative globin gene activation by the noncanonical BAF chromatin remodeling complex. Blood. 147(6). 675–688.
2.
Wertheim, Gerald, Shikha Gaur, Joseph P. Loftus, et al.. (2025). DYRK1A inhibition results in MYC and ERK activation rendering KMT2A-R acute lymphoblastic leukemia cells sensitive to BCL2 inhibition. Leukemia. 39(5). 1078–1089. 1 indexed citations
3.
Alikarami‬, Fatemeh, Simone S. Riedel, Sarah K. Tasian, et al.. (2025). Upfront menin-inhibitor resistance in multiply pretreated leukemias. Experimental Hematology. 153. 105268–105268. 1 indexed citations
4.
5.
Shi, Junwei, et al.. (2024). Fine modeling of spatial three-dimensional curved steel box girders based on BIM technology. Results in Engineering. 25. 103729–103729.
6.
Shi, Junwei, et al.. (2024). Dynamic response and densification mechanism of dynamic compaction for silt soil through a large scale field test at Daxing Airport. Soil Dynamics and Earthquake Engineering. 190. 109201–109201. 1 indexed citations
7.
Shen, Lin, Caicun Zhou, Yinghua Ji, et al.. (2024). Results of a phase 1/2 study of MHB088C: A novel B7H3 antibody-drug conjugate (ADC) incorporating a potent DNA topoisomerase I inhibitor in recurrent or metastatic solid tumors.. Journal of Clinical Oncology. 42(16_suppl). 3012–3012. 9 indexed citations
8.
Zhao, Jingru, et al.. (2024). Oncogenic transcription factors instruct promoter-enhancer hubs in individual triple negative breast cancer cells. Science Advances. 10(32). eadl4043–eadl4043. 4 indexed citations
9.
Mittal, Monika, Baiyun Wang, Ning Zheng, et al.. (2024). DCAF15 control of cohesin dynamics sustains acute myeloid leukemia. Nature Communications. 15(1). 5604–5604. 6 indexed citations
10.
Huang, Peng, Scott A. Peslak, Cheryl A. Keller, et al.. (2024). let-7 miRNAs repress HIC2 to regulate BCL11A transcription and hemoglobin switching. Blood. 143(19). 1980–1991. 10 indexed citations
11.
Berríos, Kiara N., Juan Carlos Serrano, Jared B. Parker, et al.. (2024). Cooperativity between Cas9 and hyperactive AID establishes broad and diversifying mutational footprints in base editors. Nucleic Acids Research. 52(4). 2078–2090. 2 indexed citations
12.
Hsiung, Chris C.‐S., Caroline Wilson, QiLiang Chen, et al.. (2024). Engineered CRISPR-Cas12a for higher-order combinatorial chromatin perturbations. Nature Biotechnology. 43(3). 369–383. 15 indexed citations
13.
Qin, Kunhua, Xianjiang Lan, Peng Huang, et al.. (2023). Molecular basis of polycomb group protein-mediated fetal hemoglobin repression. Blood. 141(22). 2756–2770. 7 indexed citations
14.
Wu, Jennifer E., Sasikanth Manne, Shin Foong Ngiow, et al.. (2023). In vitro modeling of CD8 + T cell exhaustion enables CRISPR screening to reveal a role for BHLHE40. Science Immunology. 8(86). eade3369–eade3369. 33 indexed citations
15.
Shi, Junwei, et al.. (2023). Electrochemiluminescence imaging of a membrane carcinoembryonic antigen at single tissue sections. The Analyst. 148(11). 2511–2517. 8 indexed citations
16.
Huang, Peng, Scott A. Peslak, Ren Ren, et al.. (2022). HIC2 controls developmental hemoglobin switching by repressing BCL11A transcription. Nature Genetics. 54(9). 1417–1426. 31 indexed citations
17.
Berríos, Kiara N., Niklaus H. Evitt, Diqiu Ren, et al.. (2021). Controllable genome editing with split-engineered base editors. Nature Chemical Biology. 17(12). 1262–1270. 30 indexed citations
18.
Lan, Xianjiang, Ren Ren, Ruopeng Feng, et al.. (2020). ZNF410 Uniquely Activates the NuRD Component CHD4 to Silence Fetal Hemoglobin Expression. Blood. 136(Supplement 1). 54–54. 2 indexed citations
19.
Lan, Xianjiang, Ren Ren, Ruopeng Feng, et al.. (2020). ZNF410 Uniquely Activates the NuRD Component CHD4 to Silence Fetal Hemoglobin Expression. Molecular Cell. 81(2). 239–254.e8. 60 indexed citations
20.
Shi, Junwei. (2011). Observation of clinical curative effect on multi-drug resistant pulmonary tuberculosis in elderly patients.

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.

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