Suneng Fu

3.9k total citations · 3 hit papers
19 papers, 3.1k citations indexed

About

Suneng Fu is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, Suneng Fu has authored 19 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Suneng Fu's work include Pancreatic function and diabetes (9 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Autophagy in Disease and Therapy (5 papers). Suneng Fu is often cited by papers focused on Pancreatic function and diabetes (9 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Autophagy in Disease and Therapy (5 papers). Suneng Fu collaborates with scholars based in United States, China and Singapore. Suneng Fu's co-authors include Gökhan S. Hotamışlıgil, Ling Yang, Ping Li, Steven M. Watkins, Ediz S. Calay, Alexander R. Ivanov, Xihong Lin, Lee H. Dicker, Oliver Hofmann and Michael J. Scanlon and has published in prestigious journals such as Nature, Science and Nature Cell Biology.

In The Last Decade

Suneng Fu

19 papers receiving 3.1k citations

Hit Papers

Defective Hepatic Autophagy in Obesity Promotes ER Stress... 2010 2026 2015 2020 2010 2011 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suneng Fu United States 13 1.6k 1.3k 1.0k 599 546 19 3.1k
Inna Novak United States 6 2.1k 1.3× 1.1k 0.9× 659 0.7× 536 0.9× 370 0.7× 12 3.2k
Carol A. Casey United States 31 1.3k 0.9× 1.1k 0.9× 818 0.8× 472 0.8× 416 0.8× 112 3.4k
Yingjiang Zhou United States 21 873 0.6× 1.4k 1.1× 677 0.7× 708 1.2× 499 0.9× 34 2.9k
Youqing Xiang United States 8 2.9k 1.8× 1.5k 1.2× 894 0.9× 824 1.4× 434 0.8× 9 4.2k
Águeda González‐Rodríguez Spain 30 1.4k 0.9× 1.3k 1.0× 442 0.4× 445 0.7× 308 0.6× 80 3.0k
Mark J. Czaja United States 7 3.0k 1.9× 1.5k 1.2× 901 0.9× 826 1.4× 460 0.8× 7 4.4k
Aiwei Yao‐Borengasser United States 23 1.3k 0.8× 1.2k 0.9× 397 0.4× 1.3k 2.2× 289 0.5× 32 3.0k
Lale Özcan United States 20 1.8k 1.1× 1.9k 1.5× 2.3k 2.3× 1.2k 2.0× 1.3k 2.3× 34 5.2k
Zhouji Chen United States 31 1.3k 0.8× 2.0k 1.6× 667 0.7× 1.6k 2.6× 604 1.1× 49 4.2k
Myeong Ho Jung South Korea 34 603 0.4× 1.6k 1.3× 325 0.3× 569 0.9× 448 0.8× 79 3.1k

Countries citing papers authored by Suneng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Suneng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suneng Fu

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

All Works

19 of 19 papers shown
1.
Liao, Yilie, Qishan Chen, Lei Liu, et al.. (2024). Amino acid is a major carbon source for hepatic lipogenesis. Cell Metabolism. 36(11). 2437–2448.e8. 40 indexed citations
2.
Chen, Qishan, Hu Li, He Tian, et al.. (2023). Global determination of reaction rates and lipid turnover kinetics in Mus musculus. Cell Metabolism. 35(4). 711–721.e4. 8 indexed citations
3.
Li, Ning, Yilie Liao, Haipeng Huang, & Suneng Fu. (2022). Co‐regulation of hepatic steatosis by ferritinophagy and unsaturated fatty acid supply. Hepatology Communications. 6(10). 2640–2653. 8 indexed citations
4.
Bai, Xiaojie, Yilie Liao, Fangfang Sun, Xia Xiao, & Suneng Fu. (2021). Diurnal regulation of oxidative phosphorylation restricts hepatocyte proliferation and inflammation. Cell Reports. 36(10). 109659–109659. 9 indexed citations
5.
Liu, Lei, Tian Li, Yilie Liao, et al.. (2020). Triose Kinase Controls the Lipogenic Potential of Fructose and Dietary Tolerance. Cell Metabolism. 32(4). 605–618.e7. 45 indexed citations
6.
Sun, Fangfang, Yilie Liao, Xia Xiao, et al.. (2020). Hepatic DNAJB9 Drives Anabolic Biasing to Reduce Steatosis and Obesity. Cell Reports. 30(6). 1835–1847.e9. 13 indexed citations
7.
Bai, Xiaojie & Suneng Fu. (2017). GetArtemisininsByAnymeans (GABA): artemisinins path to conquer diabetes go through GABA receptors. Science Bulletin. 62(6). 383–385. 1 indexed citations
8.
Fu, Suneng. (2017). From glucose sensing to a unified model of AMPK and mTOR regulation. Science Bulletin. 62(18). 1233–1234. 2 indexed citations
9.
Huang, Haipeng & Suneng Fu. (2017). Mechanism and maladies of the circadian clock synchronization in human and mammals. Chinese Science Bulletin (Chinese Version). 62(25). 2857–2866. 1 indexed citations
10.
Yang, Ling, Ediz S. Calay, Jason Fan, et al.. (2015). S-Nitrosylation links obesity-associated inflammation to endoplasmic reticulum dysfunction. Science. 349(6247). 500–506. 186 indexed citations
11.
Fu, Suneng, Abdullah Yalçın, Grace Y. Lee, et al.. (2015). Phenotypic assays identify azoramide as a small-molecule modulator of the unfolded protein response with antidiabetic activity. Science Translational Medicine. 7(292). 292ra98–292ra98. 77 indexed citations
12.
Fu, Suneng, Jason Fan, Alfredo Giménez-Cassina, et al.. (2012). Polysome Profiling in Liver Identifies Dynamic Regulation of Endoplasmic Reticulum Translatome by Obesity and Fasting. PLoS Genetics. 8(8). e1002902–e1002902. 41 indexed citations
13.
Fu, Suneng, Steven M. Watkins, & Gökhan S. Hotamışlıgil. (2012). The Role of Endoplasmic Reticulum in Hepatic Lipid Homeostasis and Stress Signaling. Cell Metabolism. 15(5). 623–634. 455 indexed citations breakdown →
14.
Fu, Suneng, Ling Yang, Ping Li, et al.. (2011). Aberrant lipid metabolism disrupts calcium homeostasis causing liver endoplasmic reticulum stress in obesity. Nature. 473(7348). 528–531. 826 indexed citations breakdown →
15.
Yang, Ling, Ping Li, Suneng Fu, Ediz S. Calay, & Gökhan S. Hotamışlıgil. (2010). Defective Hepatic Autophagy in Obesity Promotes ER Stress and Causes Insulin Resistance. Cell Metabolism. 11(6). 467–478. 1015 indexed citations breakdown →
16.
Jones, Matthew R., Lee J. Quinton, Matthew T. Blahna, et al.. (2009). Zcchc11-dependent uridylation of microRNA directs cytokine expression. Nature Cell Biology. 11(9). 1157–1163. 245 indexed citations
17.
Fu, Suneng, Peter Rogowsky, Lutz Nover, & Michael J. Scanlon. (2005). The maize heat shock factor-binding protein paralogs EMP2 and HSBP2 interact non-redundantly with specific heat shock factors. Planta. 224(1). 42–52. 35 indexed citations
19.
Fu, Suneng, Robert Meeley, & Michael J. Scanlon. (2002). empty pericarp2 Encodes a Negative Regulator of the Heat Shock Response and Is Required for Maize Embryogenesis. The Plant Cell. 14(12). 3119–3132. 62 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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