Quanming Shi

5.3k total citations · 5 hit papers
28 papers, 3.1k citations indexed

About

Quanming Shi is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Quanming Shi has authored 28 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cell Biology and 8 papers in Oncology. Recurrent topics in Quanming Shi's work include Cellular Mechanics and Interactions (7 papers), Immune Cell Function and Interaction (6 papers) and CRISPR and Genetic Engineering (5 papers). Quanming Shi is often cited by papers focused on Cellular Mechanics and Interactions (7 papers), Immune Cell Function and Interaction (6 papers) and CRISPR and Genetic Engineering (5 papers). Quanming Shi collaborates with scholars based in United States, Germany and China. Quanming Shi's co-authors include Jan Liphardt, Deborah Leckband, Valerie M. Weaver, Luke Cassereau, E. Shelley Hwang, Ivory Dean, Irene Acerbi, Alfred Au, Chanhyuk Park and Ning Wang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Quanming Shi

28 papers receiving 3.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human breast cancer invasion and aggression correlates with ECM stiffening and immune cell infiltration

2015 789 citations Luke Cassereau, Quanming Shi et al. profile →
Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing

2021 433 citations James K. Nuñez, Chen Jin et al. Cell profile →
Genome-wide CRISPR screens of T cell exhaustion identify chromatin remodeling factors that limit T cell persistence

2022 201 citations Julia A. Belk, Winnie Yao et al. Cancer Cell profile →
Spatiotemporal co-dependency between macrophages and exhausted CD8+ T cells in cancer

2022 188 citations Kelly Kersten, Kenneth H. Hu et al. Cancer Cell profile →
Discovery and functional interrogation of SARS-CoV-2 RNA-host protein interactions

2021 130 citations Ryan A. Flynn, Julia A. Belk et al. Cell profile →

Peers

Countries citing papers authored by Quanming Shi

Since Specialization

Citations

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

Fields of papers citing papers by Quanming Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanming Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Quanming Shi. A scholar is included among the top collaborators of Quanming 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 Quanming Shi. Quanming Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Genetic elements promote retention of extrachromosomal DNA in cancer cells 2025 ·Nature ·Venkat Sankar, King L. Hung, Aditi Gnanasekar, Ivy Tsz-Lo Wong, Quanming Shi, Katerina Kraft, Matthew G. Jones, (unknown), Xiaowei Yan, Julia A. Belk, Kevin J. Liu, Sangya Agarwal, Sean K. Wang, Anton G. Henssen, Paul S. Mischel, Howard Y. Chang	1
2	Enhancer activation from transposable elements in extrachromosomal DNA 2025 ·Nature Cell Biology ·Katerina Kraft, Sedona E. Murphy, Matthew G. Jones, Quanming Shi, (unknown), (unknown), King L. Hung, (unknown), Rui Li, (unknown), Michael T. Montgomery, Natasha E. Weiser, (unknown), Jens Luebeck, Vineet Bafna, Jef D. Boeke, Paul S. Mischel, Alistair N. Boettiger, Howard Y. Chang	2
3	Bidirectional epigenetic editing reveals hierarchies in gene regulation 2024 ·Nature Biotechnology ·(unknown), Zachary Steinhart, Quanming Shi, Julia A. Belk, (unknown), Katerina Kraft, Kevin R. Parker, Brian R. Shy, Alexander Marson, Howard Y. Chang	16
4	Inducible lncRNA transgenic mice reveal continual role of HOTAIR in promoting breast cancer metastasis 2022 ·eLife ·Qing Ma, Liuyi Yang, Karen Tolentino, Guiping Wang, Yang Zhao, Ulrike Litzenburger, Quanming Shi, (unknown), Yang Chen, (unknown), Feng Zhang, Rui Li, Miao-Chih Tsai, Jun‐An Chen, Ian Lai, Hong Zeng, Lingjie Li, Howard Y. Chang	31
5	Spatiotemporal co-dependency between macrophages and exhausted CD8+ T cells in cancer breakdown → 2022 ·Cancer Cell ·Kelly Kersten, Kenneth H. Hu, Alexis J. Combes, Bushra Samad, (unknown), Arja Ray, Arjun A. Rao, En Cai, (unknown), (unknown), Tristan Courau, Quanming Shi, Julia A. Belk, Ansuman T. Satpathy, Matthew F. Krummel	188
6	Divergent clonal differentiation trajectories of T cell exhaustion 2022 ·Nature Immunology ·Bence Dániel, Kathryn E. Yost, Sunnie Hsiung, Katalin Sándor, Yu Xia, Yanyan Qi, Kamir J. Hiam-Galvez, (unknown), (unknown), Quanming Shi, Stefanie L. Meier, Julia A. Belk, Josephine R. Giles, E. John Wherry, Howard Y. Chang, Takeshi Egawa, Ansuman T. Satpathy	97
7	Engineered cell entry links receptor biology with single-cell genomics 2022 ·Cell ·Bingfei Yu, Quanming Shi, Julia A. Belk, Kathryn E. Yost, Kevin R. Parker, Rui Li, (unknown), Huang Huang, Daniel Lingwood, William J. Greenleaf, Mark M. Davis, Ansuman T. Satpathy, Howard Y. Chang	40
8	Genome-wide CRISPR screens of T cell exhaustion identify chromatin remodeling factors that limit T cell persistence breakdown → 2022 ·Cancer Cell ·Julia A. Belk, Winnie Yao, Nghi Ly, Katherine A. Freitas, Yanting Chen, Quanming Shi, Alfredo M. Valencia, Eric Shifrut, Nupura Kale, Kathryn E. Yost, Connor V. Duffy, Bence Dániel, Madeline A. Hwee, Zhuang Miao, Alan Ashworth, Crystal L. Mackall, Alexander Marson, Julia Carnevale, Santosha A. Vardhana, Ansuman T. Satpathy	201
9	A human mutation in STAT3 promotes type 1 diabetes through a defect in CD8+ T cell tolerance 2021 ·The Journal of Experimental Medicine ·Jeremy Warshauer, Julia A. Belk, Alice Chan, Jiaxi Wang, (unknown), Quanming Shi, Nikolaos Skartsis, Yani Peng, (unknown), Dante Acenas, Jennifer Smith, Stanley Tamaki, Qizhi Tang, James M. Gardner, Ansuman T. Satpathy, Mark S. Anderson	33
10	Discovery and functional interrogation of SARS-CoV-2 RNA-host protein interactions breakdown → 2021 ·Cell ·Ryan A. Flynn, Julia A. Belk, Yanyan Qi, Yuki Yasumoto, Jin Wei, Mia Madel Alfajaro, Quanming Shi, Maxwell R. Mumbach, (unknown), Peter C. DeWeirdt, (unknown), Kevin R. Parker, Elizabeth Woo, Howard Y. Chang, Tamás L. Horváth, Jan E. Carette, Carolyn R. Bertozzi, Craig B. Wilen, Ansuman T. Satpathy	130
11	Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing breakdown → 2021 ·Cell ·James K. Nuñez, Chen Jin, (unknown), J. Zachery Cogan, Joseph M. Replogle, Carmen Adriaens, Gokul N. Ramadoss, Quanming Shi, King L. Hung, Avi J. Samelson, Angela N. Pogson, James Y.S. Kim, Amanda G. Chung, Manuel D. Leonetti, Howard Y. Chang, Martin Kampmann, B Bernstein, Volker Hovestadt, Luke A. Gilbert, Jonathan S. Weissman	433
12	B cell-specific XIST complex enforces X-inactivation and restrains atypical B cells 2021 ·Cell ·Bingfei Yu, Yanyan Qi, Rui Li, Quanming Shi, Ansuman T. Satpathy, Howard Y. Chang	142
13	Concerted localization-resets precede YAP-dependent transcription 2020 ·Nature Communications ·James Franklin, (unknown), Quanming Shi, (unknown), Jan Liphardt	51
14	Physical confinement induces malignant transformation in mammary epithelial cells 2019 ·Biomaterials ·Yen‐Chun Lu, Tinyi Chu, Matthew S. Hall, (unknown), Quanming Shi, Alan Chiu, Duo An, Long‐Hai Wang, Yehudah Pardo, Teresa Southard, Charles G. Danko, Jan Liphardt, Alexander Yu. Nikitin, Mingming Wu, Claudia Fischbach, Scott A. Coonrod, Minglin Ma	13
15	A fluorogenic array for temporally unlimited single-molecule tracking 2019 ·Nature Chemical Biology ·Rajarshi P. Ghosh, James Franklin, (unknown), Quanming Shi, Bruno Beltran, Andrew J. Spakowitz, Jan Liphardt	35
16	Rapid Disorganization of Mammary Acini Driven by Long-Range Mechanical Interaction 2014 ·Biophysical Journal ·Quanming Shi, Rajarshi P. Ghosh	1
17	Rapid disorganization of mechanically interacting systems of mammary acini 2013 ·Proceedings of the National Academy of Sciences ·Quanming Shi, (unknown), Hanna Engelke, Chris H. Rycroft, Luke Cassereau, James A. Sethian, Valerie M. Weaver, Jan Liphardt	112
18	Cadherin-dependent mechanotransduction depends on ligand identity but not affinity 2012 ·Journal of Cell Science ·(unknown), (unknown), Quanming Shi, Yeh-Chuin Poh, Ning Wang, Deborah Leckband	49
19	Cadherin Point Mutations Alter Cell Sorting and Modulate GTPase Signaling 2012 ·Journal of Cell Science ·(unknown), (unknown), (unknown), (unknown), Quanming Shi, (unknown), Deborah Leckband	20
20	Biophysical Properties of Cadherin Bonds Do Not Predict Cell Sorting 2008 ·Journal of Biological Chemistry ·Quanming Shi, (unknown), Deborah Leckband	50

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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