Daorong Feng

2.2k total citations
24 papers, 1.7k citations indexed

About

Daorong Feng is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Daorong Feng has authored 24 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Epidemiology and 7 papers in Cell Biology. Recurrent topics in Daorong Feng's work include Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Pancreatic function and diabetes (5 papers). Daorong Feng is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Pancreatic function and diabetes (5 papers). Daorong Feng collaborates with scholars based in United States, China and Hong Kong. Daorong Feng's co-authors include Douglas R. Cavener, Jeffrey E. Pessin, Barbara C. McGrath, Chun Liang, Wei Zhang, Yulin Li, Kaori Iida, Jianwen Wei, Meredith Hawkins and Wenyan Wu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Daorong Feng

24 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daorong Feng United States 17 801 470 450 440 324 24 1.7k
Shun‐ichiro Asahara Japan 19 733 0.9× 598 1.3× 279 0.6× 192 0.4× 188 0.6× 47 1.4k
Florent Allagnat Switzerland 26 669 0.8× 918 2.0× 228 0.5× 435 1.0× 426 1.3× 60 1.8k
Shian-Huey Chiang United States 15 1.1k 1.4× 328 0.7× 579 1.3× 392 0.9× 160 0.5× 15 2.1k
Klementina Fon Tacer United States 18 1.4k 1.7× 317 0.7× 381 0.8× 149 0.3× 288 0.9× 34 2.1k
Pawan Gulati United Kingdom 14 1.7k 2.1× 312 0.7× 337 0.7× 318 0.7× 204 0.6× 14 2.2k
Kim Ravnskjær Denmark 17 1.2k 1.5× 572 1.2× 466 1.0× 145 0.3× 158 0.5× 30 2.1k
Frédéric Leprêtre France 21 690 0.9× 244 0.5× 473 1.1× 107 0.2× 405 1.3× 47 1.8k
Ross Smith Sweden 7 805 1.0× 643 1.4× 821 1.8× 1.3k 2.9× 120 0.4× 11 2.3k
Holger Doege United States 17 1.2k 1.5× 472 1.0× 475 1.1× 191 0.4× 186 0.6× 18 2.2k
Eric L. Ford United States 18 594 0.7× 981 2.1× 276 0.6× 145 0.3× 368 1.1× 20 1.9k

Countries citing papers authored by Daorong Feng

Since Specialization
Citations

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

Fields of papers citing papers by Daorong Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daorong Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Daorong Feng. A scholar is included among the top collaborators of Daorong Feng 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 Daorong Feng. Daorong Feng 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.
Song, Ziyi, Alus M. Xiaoli, Simone Sidoli, et al.. (2024). Involution of brown adipose tissue through a Syntaxin 4 dependent pyroptosis pathway. Nature Communications. 15(1). 2856–2856. 5 indexed citations
2.
Bin, Na‐Ryum, Ke Ma, Hidekiyo Harada, et al.. (2023). Neuronal SNAP-23 is critical for synaptic plasticity and spatial memory independently of NMDA receptor regulation. iScience. 26(5). 106664–106664. 3 indexed citations
3.
Chen, Fenfen, Dulguun Amgalan, Richard N. Kitsis, Jeffrey E. Pessin, & Daorong Feng. (2020). ATG16L1 autophagy pathway regulates BAX protein levels and programmed cell death. Journal of Biological Chemistry. 295(44). 15045–15053. 9 indexed citations
4.
Liang, Tao, Tairan Qin, Fei Kang, et al.. (2020). SNAP23 depletion enables more SNAP25/calcium channel excitosome formation to increase insulin exocytosis in type 2 diabetes. JCI Insight. 5(3). 12 indexed citations
5.
Deutsch, Alana, Daorong Feng, Jeffrey E. Pessin, & Kosaku Shinoda. (2020). The Impact of Single-Cell Genomics on Adipose Tissue Research. International Journal of Molecular Sciences. 21(13). 4773–4773. 33 indexed citations
6.
Feng, Daorong, Dulguun Amgalan, Rajat Singh, et al.. (2018). SNAP23 regulates BAX-dependent adipocyte programmed cell death independently of canonical macroautophagy. Journal of Clinical Investigation. 128(9). 3941–3956. 19 indexed citations
7.
Toledo, Míriam, Ana Batista‐González, Elena Tarabra, et al.. (2018). Autophagy Regulates the Liver Clock and Glucose Metabolism by Degrading CRY1. Cell Metabolism. 28(2). 268–281.e4. 130 indexed citations
9.
Toledo, Míriam, Elena Tarabra, Ana Batista‐González, et al.. (2018). Autophagy Regulates the Liver Clock and Glucose Metabolism by Degrading CRY1. SSRN Electronic Journal. 3 indexed citations
10.
Feng, Daorong, Dou Yeon Youn, Xiaoping Zhao, et al.. (2015). mTORC1 Down-Regulates Cyclin-Dependent Kinase 8 (CDK8) and Cyclin C (CycC). PLoS ONE. 10(6). e0126240–e0126240. 26 indexed citations
11.
Lim, Jihyeon, Zhongbo Liu, Pasha Apontes, et al.. (2014). Dual Mode Action of Mangiferin in Mouse Liver under High Fat Diet. PLoS ONE. 9(3). e90137–e90137. 56 indexed citations
12.
Hasek, Barbara E., Anik Boudreau, Jeho Shin, et al.. (2013). Remodeling the Integration of Lipid Metabolism Between Liver and Adipose Tissue by Dietary Methionine Restriction in Rats. Diabetes. 62(10). 3362–3372. 96 indexed citations
13.
Zhao, Xiaoping, Daorong Feng, Arian Abdulla, et al.. (2012). Regulation of lipogenesis by cyclin-dependent kinase 8–mediated control of SREBP-1. Journal of Clinical Investigation. 122(7). 2417–2427. 169 indexed citations
14.
Ma, Lijuan, Yuanliang Zhai, Daorong Feng, et al.. (2010). Identification of novel factors involved in or regulating initiation of DNA replication by a genome-wide phenotypic screen inSaccharomyces cerevisiae. Cell Cycle. 9(21). 4399–4410. 19 indexed citations
15.
Li, Pingping, Min Lü, Matthew Nguyen, et al.. (2010). Functional Heterogeneity of CD11c-positive Adipose Tissue Macrophages in Diet-induced Obese Mice. Journal of Biological Chemistry. 285(20). 15333–15345. 205 indexed citations
16.
Feng, Daorong, Jianwen Wei, Sounak Gupta, Barbara C. McGrath, & Douglas R. Cavener. (2009). Acute ablation of PERK results in ER dysfunctions followed by reduced insulin secretion and cell proliferation. BMC Cell Biology. 10(1). 61–61. 46 indexed citations
17.
Wei, Jianwen, et al.. (2008). PERK is essential for neonatal skeletal development to regulate osteoblast proliferation and differentiation. Journal of Cellular Physiology. 217(3). 693–707. 108 indexed citations
18.
Senée, Valérie, Claude Chelala, Sabine Duchatelet, et al.. (2006). Mutations in GLIS3 are responsible for a rare syndrome with neonatal diabetes mellitus and congenital hypothyroidism. Nature Genetics. 38(6). 682–687. 270 indexed citations
19.
Zhang, Wei, Daorong Feng, Yulin Li, et al.. (2006). PERK EIF2AK3 control of pancreatic β cell differentiation and proliferation is required for postnatal glucose homeostasis. Cell Metabolism. 4(6). 491–497. 222 indexed citations
20.
Yu, Zhi‐Ling, Daorong Feng, & Chun Liang. (2004). Pairwise Interactions of the Six Human MCM Protein Subunits. Journal of Molecular Biology. 340(5). 1197–1206. 44 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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