Huogen Lu

589 total citations
10 papers, 484 citations indexed

About

Huogen Lu is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Huogen Lu has authored 10 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Physiology. Recurrent topics in Huogen Lu's work include Metabolism, Diabetes, and Cancer (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Huogen Lu is often cited by papers focused on Metabolism, Diabetes, and Cancer (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Huogen Lu collaborates with scholars based in Canada, United States and Egypt. Huogen Lu's co-authors include I. George Fantus, Tianru Jin, Weijuan Shao, Tuanyao Chai, Yu‐Ting Chiang, Warren D. Foltz, Zhiwen Yu, Yi Yang, K Beard and I. George Fantus and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Diabetes.

In The Last Decade

Huogen Lu

10 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huogen Lu Canada 9 199 140 116 114 104 10 484
Zhuolun Song Canada 12 243 1.2× 142 1.0× 119 1.0× 74 0.6× 87 0.8× 13 483
Anna Gębska Poland 14 216 1.1× 110 0.8× 58 0.5× 91 0.8× 95 0.9× 22 655
Xue-Fen Pang China 11 162 0.8× 69 0.5× 54 0.5× 46 0.4× 81 0.8× 13 468
Rachana Thapliyal India 7 348 1.7× 68 0.5× 205 1.8× 118 1.0× 17 0.2× 9 602
Nikola Hadzi‐Petrushev North Macedonia 11 101 0.5× 117 0.8× 45 0.4× 79 0.7× 26 0.3× 42 357
Zhiwen Yu China 11 199 1.0× 195 1.4× 114 1.0× 17 0.1× 140 1.3× 14 555
Mamatha Garige United States 12 135 0.7× 32 0.2× 100 0.9× 26 0.2× 72 0.7× 20 421
Pál Brasnyó Hungary 4 192 1.0× 256 1.8× 112 1.0× 13 0.1× 120 1.2× 6 649
Amir Ghorbani Haghjo Iran 12 157 0.8× 51 0.4× 44 0.4× 16 0.1× 151 1.5× 17 532

Countries citing papers authored by Huogen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Huogen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huogen Lu

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

All Works

10 of 10 papers shown
1.
Lu, Huogen, Elena Bogdanovic, Zhiwen Yu, et al.. (2018). Combined Hyperglycemia- and Hyperinsulinemia-Induced Insulin Resistance in Adipocytes Is Associated With Dual Signaling Defects Mediated by PKC-ζ. Endocrinology. 159(4). 1658–1677. 14 indexed citations
2.
Frigolet, María E., et al.. (2017). The bradykinin-cGMP-PKG pathway augments insulin sensitivity via upregulation of MAPK phosphatase-5 and inhibition of JNK. American Journal of Physiology-Endocrinology and Metabolism. 313(3). E321–E334. 19 indexed citations
3.
Chen, Zonglan, Weijuan Shao, Fen Xu, et al.. (2014). Acute Wnt pathway activation positively regulates leptin gene expression in mature adipocytes. Cellular Signalling. 27(3). 587–597. 25 indexed citations
4.
Soliman, Mohamed A., Anas M. Abdel Rahman, Kıvanç Birsoy, et al.. (2014). The Adaptor Protein p66Shc Inhibits mTOR-Dependent Anabolic Metabolism. Science Signaling. 7(313). ra17–ra17. 1 indexed citations
5.
Lamming, Dudley W., Mohamed A. Soliman, Kıvanç Birsoy, et al.. (2013). The Adaptor Protein p66Shc Inhibits mTOR-Dependent Anabolic Metabolism. DSpace@MIT (Massachusetts Institute of Technology). 33 indexed citations
6.
Shao, Weijuan, Zhiwen Yu, Yu‐Ting Chiang, et al.. (2012). Curcumin Prevents High Fat Diet Induced Insulin Resistance and Obesity via Attenuating Lipogenesis in Liver and Inflammatory Pathway in Adipocytes. PLoS ONE. 7(1). e28784–e28784. 247 indexed citations
7.
Li, Lixin, M. Anwar Hossain, Stephanie A. Schroer, et al.. (2011). Lecithin Cholesterol Acyltransferase Null Mice Are Protected from Diet-induced Obesity and Insulin Resistance in a Gender-specific Manner through Multiple Pathways. Journal of Biological Chemistry. 286(20). 17809–17820. 42 indexed citations
8.
Midaoui, Adil El, et al.. (2008). Comparative effects ofN-acetyl-l-cysteine and ramipril on arterial hypertension, insulin resistance, and oxidative stress in chronically glucose-fed rats. Canadian Journal of Physiology and Pharmacology. 86(11). 752–760. 30 indexed citations
10.
Lu, Huogen, Poonam Shah, David Ennis, et al.. (2002). The Differentiation of Skeletal Muscle Cells Involves a Protein-tyrosine Phosphatase-α-mediated C-Src Signaling Pathway. Journal of Biological Chemistry. 277(48). 46687–46695. 27 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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