Yi Zhu

5.2k total citations · 1 hit paper
60 papers, 3.2k citations indexed

About

Yi Zhu is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Yi Zhu has authored 60 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Physiology and 14 papers in Surgery. Recurrent topics in Yi Zhu's work include Adipose Tissue and Metabolism (19 papers), Metabolism, Diabetes, and Cancer (9 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). Yi Zhu is often cited by papers focused on Adipose Tissue and Metabolism (19 papers), Metabolism, Diabetes, and Cancer (9 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). Yi Zhu collaborates with scholars based in United States, China and Japan. Yi Zhu's co-authors include Rao Ms, J K Reddy, Chao Qi, Julie R. Korenberg, David Noya, Philipp E. Scherer, Wei Sun, E. Dale Abel, Adam R. Wende and Mengle Shao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Yi Zhu

56 papers receiving 3.2k citations

Hit Papers

Structural organization of mouse peroxisome proliferator-... 1995 2026 2005 2015 1995 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Zhu United States 32 1.7k 1.3k 815 659 496 60 3.2k
Andrew W. Norris United States 29 1.6k 0.9× 1.7k 1.3× 967 1.2× 389 0.6× 522 1.1× 73 4.0k
Hye Lim Noh United States 26 1.2k 0.7× 1.1k 0.9× 839 1.0× 456 0.7× 422 0.9× 40 2.8k
Masaya Tanno Japan 36 2.2k 1.3× 875 0.7× 706 0.9× 949 1.4× 465 0.9× 122 4.6k
Kathleen R. Markan United States 16 1.3k 0.8× 1.6k 1.2× 915 1.1× 398 0.6× 280 0.6× 19 2.9k
Pascal Escher Switzerland 26 2.8k 1.6× 1.1k 0.9× 554 0.7× 588 0.9× 298 0.6× 53 4.0k
Robert E. McGehee United States 27 1.6k 1.0× 1.5k 1.2× 1.3k 1.6× 387 0.6× 607 1.2× 48 3.6k
Anna Planavila Spain 24 1.6k 0.9× 937 0.7× 516 0.6× 566 0.9× 297 0.6× 47 2.7k
Niklas Mejhert Sweden 33 1.2k 0.7× 1.2k 0.9× 876 1.1× 337 0.5× 289 0.6× 54 2.8k
Muneyoshi Okada Japan 32 1.1k 0.7× 846 0.7× 923 1.1× 1.1k 1.6× 389 0.8× 120 3.2k
Josep A. Villena Spain 27 1.7k 1.0× 1.5k 1.1× 691 0.8× 238 0.4× 348 0.7× 42 3.3k

Countries citing papers authored by Yi Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Zhu. A scholar is included among the top collaborators of Yi 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 Yi Zhu. Yi 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.
Xu, Yuan, Deborah R. Surman, Lacey E. Dobrolecki, et al.. (2025). Co-Targeting BCL-xL with MCL-1 Induces Lethal Mitochondrial Dysfunction in Diffuse Mesothelioma. Molecular Cancer Therapeutics. 24(10). 1640–1652.
2.
Straub, Leon G., Jan‐Bernd Funcke, Nolwenn Joffin, et al.. (2025). Defining lipedema's molecular hallmarks by multi-omics approach for disease prediction in women. Metabolism. 168. 156191–156191. 4 indexed citations
3.
Zhao, Shangang, Qingzhang Zhu, Jan‐Bernd Funcke, et al.. (2025). The adiponectin-PPARγ axis in hepatic stellate cells regulates liver fibrosis. Cell Reports. 44(1). 115165–115165. 6 indexed citations
4.
Li, Huiqiao, Yanru Deng, Anying Song, et al.. (2024). Hyaluronan Mediates Cold-Induced Adipose Tissue Beiging. Cells. 13(15). 1233–1233. 1 indexed citations
5.
Zhu, Yi, et al.. (2024). Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis. Lipids in Health and Disease. 23(1). 120–120. 12 indexed citations
6.
Li, Huiqiao, Yue Liu, Jing Qi, et al.. (2023). Dimethyl Sulfoxide Inhibits Bile Acid Synthesis in Healthy Mice but Does Not Protect Mice from Bile-Acid-Induced Liver Damage. Biology. 12(8). 1105–1105. 1 indexed citations
7.
Zhao, Shangang, Na Li, Wei Xiong, et al.. (2023). Leptin Reduction as a Required Component for Weight Loss. Diabetes. 73(2). 197–210. 16 indexed citations
8.
Zhu, Yi, Na Li, Yu An, et al.. (2022). Activating Connexin43 gap junctions primes adipose tissue for therapeutic intervention. Acta Pharmaceutica Sinica B. 12(7). 3063–3072. 6 indexed citations
9.
Zhao, Shangang, Na Li, Yi Zhu, et al.. (2020). Partial leptin deficiency confers resistance to diet-induced obesity in mice. Molecular Metabolism. 37. 100995–100995. 63 indexed citations
10.
Zhu, Qingzhang, Yu An, Zhuzhen Zhang, et al.. (2020). Suppressing adipocyte inflammation promotes insulin resistance in mice. Molecular Metabolism. 39. 101010–101010. 64 indexed citations
11.
Song, Anying, Min Jee Jang, Leonard Medrano, et al.. (2019). Low- and high-thermogenic brown adipocyte subpopulations coexist in murine adipose tissue. Journal of Clinical Investigation. 130(1). 247–257. 142 indexed citations
12.
Crewe, Clair, Yi Zhu, Vivian A. Paschoal, et al.. (2019). SREBP-regulated adipocyte lipogenesis is dependent on substrate availability and redox modulation of mTORC1. JCI Insight. 4(15). 51 indexed citations
13.
Deng, Yingfeng, Zhao V. Wang, Ruth Gordillo, et al.. (2018). Adipocyte Xbp1s overexpression drives uridine production and reduces obesity. Molecular Metabolism. 11. 1–17. 36 indexed citations
14.
Wang, Qiong, Caroline Tao, Lei Jiang, et al.. (2015). Distinct regulatory mechanisms governing embryonic versus adult adipocyte maturation. Nature Cell Biology. 17(9). 1099–1111. 109 indexed citations
15.
Zhang, Yue, Yu Zhang, Ziheng Zhang, et al.. (2015). Downregulation of cancer stem cell properties via mTOR signaling pathway inhibition by rapamycin in nasopharyngeal carcinoma. International Journal of Oncology. 47(3). 909–917. 34 indexed citations
16.
Pereira, Renata O., Adam R. Wende, Curtis D. Olsen, et al.. (2014). GLUT1 deficiency in cardiomyocytes does not accelerate the transition from compensated hypertrophy to heart failure. Journal of Molecular and Cellular Cardiology. 72. 95–103. 40 indexed citations
17.
Zhu, Yi, Karla Maria Pereira Pires, Kevin J. Whitehead, et al.. (2013). Mechanistic Target of Rapamycin (Mtor) Is Essential for Murine Embryonic Heart Development and Growth. PLoS ONE. 8(1). e54221–e54221. 74 indexed citations
18.
Wang, Cheng, et al.. (2009). Globular adiponectin inhibits angiotensin II‐induced nuclear factor κB activation through AMP‐activated protein kinase in cardiac hypertrophy. Journal of Cellular Physiology. 222(1). 149–155. 43 indexed citations
19.
Xie, Yan, Yi Zhu, Weizhong Zhu, et al.. (2005). Role of dual-site phospholamban phosphorylation in intermittent hypoxia-induced cardioprotection against ischemia-reperfusion injury. American Journal of Physiology-Heart and Circulatory Physiology. 288(6). H2594–H2602. 33 indexed citations
20.
Wu, Jing, Xiaoyan Zhang, Nanping Wang, et al.. (2004). Liver X receptor-α mediates cholesterol efflux in glomerular mesangial cells. American Journal of Physiology-Renal Physiology. 287(5). F886–F895. 50 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