Changyu Zhu

2.4k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

Changyu Zhu is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Changyu Zhu has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Epidemiology. Recurrent topics in Changyu Zhu's work include MicroRNA in disease regulation (6 papers), Liver physiology and pathology (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Changyu Zhu is often cited by papers focused on MicroRNA in disease regulation (6 papers), Liver physiology and pathology (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Changyu Zhu collaborates with scholars based in China, United States and Italy. Changyu Zhu's co-authors include Utpal B. Pajvani, Scott W. Lowe, Yu-Jui Ho, Ira Tabas, Alberto Bartolomé, Direna Alonso‐Curbelo, Theodoros Giavridis, Jorge Mansilla‐Soto, Alessandra Piersigilli and Amanda Kulick and has published in prestigious journals such as Nature, Journal of Clinical Investigation and ACS Nano.

In The Last Decade

Changyu Zhu

34 papers receiving 1.5k citations

Hit Papers

Senolytic CAR T cells reverse senescence-associated patho... 2020 2026 2022 2024 2020 200 400 600
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.

  1. Senolytic CAR T cells reverse senescence-associated pathologies
    2020 724 citations Corina Amor, Judith Feucht et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changyu Zhu China 14 538 440 384 307 243 35 1.5k
Hao Qin China 20 692 1.3× 294 0.7× 182 0.5× 144 0.5× 73 0.3× 60 1.5k
Iwao Kida Japan 23 956 1.8× 292 0.7× 225 0.6× 328 1.1× 481 2.0× 29 2.5k
Gianna Galli Italy 20 640 1.2× 296 0.7× 158 0.4× 90 0.3× 227 0.9× 39 1.6k
Carmen Gonelle‐Gispert Switzerland 26 591 1.1× 261 0.6× 125 0.3× 151 0.5× 499 2.1× 67 1.7k
Mohsin Khan United States 32 1.5k 2.8× 274 0.6× 221 0.6× 243 0.8× 167 0.7× 83 3.0k
Yan Meng China 21 443 0.8× 304 0.7× 90 0.2× 159 0.5× 354 1.5× 64 1.2k
Anne-Clémence Vion France 18 1.5k 2.7× 437 1.0× 139 0.4× 411 1.3× 119 0.5× 27 2.4k
Ningling Kang United States 21 675 1.3× 331 0.8× 59 0.2× 161 0.5× 479 2.0× 32 1.5k
Bryan D. Maliken United States 14 922 1.7× 351 0.8× 83 0.2× 124 0.4× 89 0.4× 20 1.9k
Daisuke Ogawa Japan 23 1.3k 2.5× 364 0.8× 365 1.0× 210 0.7× 37 0.2× 59 2.4k

Countries citing papers authored by Changyu Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Changyu Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changyu Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Changyu Zhu. A scholar is included among the top collaborators of Changyu Zhu 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 Changyu Zhu. Changyu Zhu 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.
He, Qinghua, et al.. (2025). A Review of Exercise Interventions for Rehabilitation in Drug‐Dependent Individuals. Addiction Biology. 30(12). e70098–e70098.
2.
Liu, Yating, Xinyu Li, Jie Yang, et al.. (2024). Pan-cancer analysis of SLC2A family genes as prognostic biomarkers and therapeutic targets. Heliyon. 10(8). e29655–e29655. 3 indexed citations
3.
He, Shizhi, Jiaming Chen, Ru Wang, et al.. (2024). Fabrication of hyaluronic acid-altered gold complex delivery for head and neck squamous cell carcinoma therapy with high antitumor efficacy and low in vivo toxicity. Journal of Photochemistry and Photobiology B Biology. 253. 112877–112877. 1 indexed citations
4.
5.
Zhu, Changyu, Yadira M. Soto-Feliciano, John P. Morris, et al.. (2023). MLL3 regulates the CDKN2A tumor suppressor locus in liver cancer. eLife. 12. 13 indexed citations
6.
Postigo, Jorge, KyeongJin Kim, Changyu Zhu, et al.. (2023). Notch-mediated hepatocyte MCP-1 secretion causes liver fibrosis. JCI Insight. 8(3). 52 indexed citations
7.
Liu, Yilong, Suya Du, Xia He, et al.. (2022). Identification of a novel ferroptosis-related gene signature associated with prognosis, the immune landscape, and biomarkers for immunotherapy in ovarian cancer. Frontiers in Pharmacology. 13. 949126–949126. 2 indexed citations
8.
9.
Zhu, Changyu, et al.. (2022). Prognostic Biomarker DDOST and Its Correlation With Immune Infiltrates in Hepatocellular Carcinoma. Frontiers in Genetics. 12. 819520–819520. 12 indexed citations
10.
Bartolomé, Alberto, Nina Suda, Junjie Yu, et al.. (2022). Notch-mediated Ephrin signaling disrupts islet architecture and β cell function. JCI Insight. 7(6). 8 indexed citations
11.
12.
Wang, Xiaobo, Hongxue Shi, Changyu Zhu, et al.. (2021). TAZ-induced Cybb contributes to liver tumor formation in non-alcoholic steatohepatitis. Journal of Hepatology. 76(4). 910–920. 32 indexed citations
13.
Yu, Junjie, Changyu Zhu, Xiaobo Wang, et al.. (2021). Hepatocyte TLR4 triggers inter-hepatocyte Jagged1/Notch signaling to determine NASH-induced fibrosis. Science Translational Medicine. 13(599). 94 indexed citations
14.
Tang, Mei, et al.. (2021). Safe and Effective Treatment for Anemic Patients With Chronic Kidney Disease: An Updated Systematic Review and Meta-Analysis on Roxadustat. Frontiers in Pharmacology. 12. 658079–658079. 17 indexed citations
15.
Zhu, Changyu, et al.. (2021). Labor epidural analgesia versus without labor epidural analgesia for multiparous women: a retrospective case control study. BMC Anesthesiology. 21(1). 133–133. 5 indexed citations
16.
Zhu, Changyu, Yu-Jui Ho, Marcela Salomao, et al.. (2020). Notch activity characterizes a common hepatocellular carcinoma subtype with unique molecular and clinicopathologic features. Journal of Hepatology. 74(3). 613–626. 47 indexed citations
17.
Amor, Corina, Judith Feucht, Josef Leibold, et al.. (2020). Senolytic CAR T cells reverse senescence-associated pathologies. Nature. 583(7814). 127–132. 724 indexed citations breakdown →
18.
Zhu, Changyu, et al.. (2019). Erenumab safety and efficacy in migraine. Medicine. 98(52). e18483–e18483. 37 indexed citations
19.
Zhu, Changyu, KyeongJin Kim, Xiaobo Wang, et al.. (2018). Hepatocyte Notch activation induces liver fibrosis in nonalcoholic steatohepatitis. Science Translational Medicine. 10(468). 194 indexed citations
20.
Bartolomé, Alberto, Changyu Zhu, Lori Sussel, & Utpal B. Pajvani. (2018). Notch signaling dynamically regulates adult β cell proliferation and maturity. Journal of Clinical Investigation. 129(1). 268–280. 49 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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