Hongtao Yu

22.4k total citations · 6 hit papers
172 papers, 17.0k citations indexed

About

Hongtao Yu is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Hongtao Yu has authored 172 papers receiving a total of 17.0k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Molecular Biology, 94 papers in Cell Biology and 21 papers in Plant Science. Recurrent topics in Hongtao Yu's work include Microtubule and mitosis dynamics (89 papers), Genomics and Chromatin Dynamics (58 papers) and Ubiquitin and proteasome pathways (38 papers). Hongtao Yu is often cited by papers focused on Microtubule and mitosis dynamics (89 papers), Genomics and Chromatin Dynamics (58 papers) and Ubiquitin and proteasome pathways (38 papers). Hongtao Yu collaborates with scholars based in United States, China and United Kingdom. Hongtao Yu's co-authors include Zhanyun Tang, Xuelian Luo, Marc W. Kirschner, Rajnish Bharadwaj, Patrick Ryan Potts, Guowei Fang, Sibo Feng, James Chen, Stuart L. Schreiber and Bing Li and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hongtao Yu

167 papers receiving 16.9k citations

Hit Papers

Structural basis for the binding of proline-rich peptides... 1994 2026 2004 2015 1994 1994 2015 1998 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongtao Yu United States 74 14.6k 7.5k 2.4k 2.1k 1.3k 172 17.0k
Philip Hieter United States 69 18.3k 1.2× 5.0k 0.7× 1.9k 0.8× 3.6k 1.7× 964 0.7× 167 21.8k
Jan‐Michael Peters Austria 83 21.4k 1.5× 12.0k 1.6× 3.6k 1.5× 4.5k 2.2× 828 0.6× 148 24.0k
Tim Hunt United Kingdom 73 15.0k 1.0× 7.1k 0.9× 4.2k 1.7× 1.7k 0.8× 774 0.6× 159 18.9k
Stefan Jentsch Germany 64 17.0k 1.2× 4.6k 0.6× 3.6k 1.5× 1.4k 0.7× 1.6k 1.2× 106 19.0k
P. Todd Stukenberg United States 54 10.5k 0.7× 5.7k 0.8× 2.0k 0.9× 1.4k 0.7× 427 0.3× 105 12.2k
Angelika Amon United States 73 15.2k 1.0× 10.2k 1.3× 1.8k 0.8× 4.1k 2.0× 1.9k 1.4× 166 18.6k
Jonathon Pines United Kingdom 72 14.8k 1.0× 8.5k 1.1× 7.4k 3.1× 1.5k 0.7× 1.1k 0.8× 122 18.8k
Xuebiao Yao China 57 8.5k 0.6× 3.5k 0.5× 1.7k 0.7× 954 0.5× 762 0.6× 260 11.6k
Mark Hochstrasser United States 70 17.7k 1.2× 5.7k 0.8× 4.7k 2.0× 1.3k 0.6× 1.1k 0.8× 166 20.3k
Helen Piwnica‐Worms United States 70 15.1k 1.0× 5.5k 0.7× 7.2k 3.0× 671 0.3× 1.9k 1.4× 161 18.5k

Countries citing papers authored by Hongtao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hongtao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongtao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongtao Yu. A scholar is included among the top collaborators of Hongtao Yu 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 Hongtao Yu. Hongtao Yu 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.
Sun, Hongwei, Kebing Du, Yan Sun, et al.. (2025). Unveiling the Genetic and Phenotypic Landscape of a Chinese Cohort With Retinitis Pigmentosa. Molecular Genetics & Genomic Medicine. 13(2). e70011–e70011. 2 indexed citations
2.
Ji, Yapeng, Song Hu, Yuchen Ji, et al.. (2025). Targeting necrotic lipid release in tumors enhances immunosurveillance and cancer immunotherapy of glioblastoma. Cell Research. 35(11). 859–875.
3.
Cao, Jinghui, Liang Cai, & Hongtao Yu. (2025). Aneuploidy as a cancer vulnerability. Current Opinion in Cell Biology. 94. 102490–102490.
4.
Xie, Xuping, Yang Yang, Hongtao Yu, et al.. (2024). Resistance mechanisms of SARS-CoV-2 3CLpro to the non-covalent inhibitor WU-04. Cell Discovery. 10(1). 40–40. 14 indexed citations
5.
Li, Suxin, Min Luo, Zhaohui Wang, et al.. (2021). Author Correction: Prolonged activation of innate immune pathways by a polyvalent STING agonist. Nature Biomedical Engineering. 5(5). 483–483. 5 indexed citations
6.
Li, Suxin, Min Luo, Zhaohui Wang, et al.. (2021). Prolonged activation of innate immune pathways by a polyvalent STING agonist. Nature Biomedical Engineering. 5(5). 455–466. 240 indexed citations breakdown →
7.
Kopp, Florian, Mahmoud Elguindy, Mehmet E. Yalvaç, et al.. (2019). PUMILIO hyperactivity drives premature aging of Norad-deficient mice. eLife. 8. 70 indexed citations
8.
Choi, Eunhee, Sotaro Kikuchi, Haishan Gao, et al.. (2019). Mitotic regulators and the SHP2-MAPK pathway promote IR endocytosis and feedback regulation of insulin signaling. Nature Communications. 10(1). 1473–1473. 69 indexed citations
9.
Uchikawa, Emiko, Eunhee Choi, Guijun Shang, Hongtao Yu, & Xiao‐chen Bai. (2019). Activation mechanism of the insulin receptor revealed by cryo-EM structure of the fully liganded receptor–ligand complex. eLife. 8. 120 indexed citations
10.
Kim, Yoori, Zhubing Shi, Hongshan Zhang, Ilya J. Finkelstein, & Hongtao Yu. (2019). Human cohesin compacts DNA by loop extrusion. Science. 366(6471). 1345–1349. 458 indexed citations breakdown →
11.
Lee, Christine C., Bing Li, Hongtao Yu, & Michael J. Matunis. (2018). Sumoylation promotes optimal APC/C activation and timely anaphase. eLife. 7. 28 indexed citations
12.
Soardi, Fernanda Caroline, Alice Machado-Silva, Natália D. Linhares, et al.. (2017). Familial STAG2 germline mutation defines a new human cohesinopathy. npj Genomic Medicine. 2(1). 7–7. 48 indexed citations
13.
Ji, Zhejian, Haishan Gao, Luying Jia, Bing Li, & Hongtao Yu. (2017). A sequential multi-target Mps1 phosphorylation cascade promotes spindle checkpoint signaling. eLife. 6. 119 indexed citations
14.
Díaz-Martínez, Laura A., Zemfira N. Karamysheva, Ross Warrington, et al.. (2014). Genome‐wide si RNA screen reveals coupling between mitotic apoptosis and adaptation. The EMBO Journal. 33(17). 1960–1976. 33 indexed citations
15.
Wu, Nan & Hongtao Yu. (2012). The Smc complexes in DNA damage response. Cell & Bioscience. 2(1). 5–5. 96 indexed citations
16.
Solomon, David A., Taeyeon Kim, Laura A. Díaz-Martínez, et al.. (2011). Mutational Inactivation of STAG2 Causes Aneuploidy in Human Cancer. Science. 333(6045). 1039–1043. 311 indexed citations
17.
Stolz, Ailine, Celia Vogel, Verena Schneider, et al.. (2009). Pharmacologic Abrogation of the Mitotic Spindle Checkpoint by an Indolocarbazole Discovered by Cellular Screening Efficiently Kills Cancer Cells. Cancer Research. 69(9). 3874–3883. 30 indexed citations
18.
Yang, Maojun, Jeffrey C. Culhane, Lawrence M. Szewczuk, et al.. (2007). Structural basis of histone demethylation by LSD1 revealed by suicide inactivation. Nature Structural & Molecular Biology. 14(6). 535–539. 148 indexed citations
19.
Bharadwaj, Rajnish, Wei Qi, & Hongtao Yu. (2004). Identification of Two Novel Components of the Human NDC80 Kinetochore Complex. Journal of Biological Chemistry. 279(13). 13076–13085. 101 indexed citations
20.
Xia, Guo-Hong, Xuelian Luo, Toshiyuki Habu, et al.. (2004). Conformation‐specific binding of p31comet antagonizes the function of Mad2 in the spindle checkpoint. The EMBO Journal. 23(15). 3133–3143. 165 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.

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