Deyin Lu

663 total citations
18 papers, 558 citations indexed

About

Deyin Lu is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Deyin Lu has authored 18 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Surgery. Recurrent topics in Deyin Lu's work include Nitric Oxide and Endothelin Effects (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). Deyin Lu is often cited by papers focused on Nitric Oxide and Endothelin Effects (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). Deyin Lu collaborates with scholars based in United States, Israel and China. Deyin Lu's co-authors include Yiling Fu, Shakevia Johnson, Xiao‐Ming Ou, Ruisheng Liu, Moussa B. H. Youdim, Luis A. Juncos, Craig A. Stockmeier, R. Davis Manning, Mark C. Austin and Jean C. Shih and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Biological Psychiatry.

In The Last Decade

Deyin Lu

17 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deyin Lu United States 15 177 108 91 82 80 18 558
Qi Cheng Australia 15 202 1.1× 87 0.8× 131 1.4× 79 1.0× 55 0.7× 20 580
Anastasiia S. Boiko Russia 15 119 0.7× 85 0.8× 77 0.8× 30 0.4× 79 1.0× 68 596
Béatrice Georges France 14 243 1.4× 143 1.3× 83 0.9× 41 0.5× 36 0.5× 26 711
Helmut Hiller United States 15 195 1.1× 93 0.9× 84 0.9× 39 0.5× 182 2.3× 29 783
José Marques-Lopes United States 14 300 1.7× 182 1.7× 126 1.4× 33 0.4× 75 0.9× 20 684
Giordano Gübert Viola Brazil 16 131 0.7× 106 1.0× 242 2.7× 89 1.1× 26 0.3× 34 753
João José Freitas Sarkis Brazil 20 224 1.3× 113 1.0× 172 1.9× 22 0.3× 109 1.4× 52 1.0k
Stacy L. Sell United States 16 198 1.1× 80 0.7× 260 2.9× 132 1.6× 96 1.2× 25 787
Tomoyuki Ohta Japan 15 191 1.1× 54 0.5× 145 1.6× 18 0.2× 91 1.1× 58 742
Marieke van der Hart United States 11 239 1.4× 138 1.3× 132 1.5× 56 0.7× 167 2.1× 17 888

Countries citing papers authored by Deyin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Deyin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyin Lu

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

All Works

18 of 18 papers shown
1.
Vig, P. J. S., Deyin Lu, Amber M. Paul, et al.. (2018). Differential Expression of Genes Related to Innate Immune Responses in Ex Vivo Spinal Cord and Cerebellar Slice Cultures Infected with West Nile Virus. Brain Sciences. 9(1). 1–1. 59 indexed citations
2.
Fu, Yiling, Yan Lu, Xiaolong Zhu, et al.. (2013). Testosterone enhances tubuloglomerular feedback by increasing superoxide production in the macula densa. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 304(9). R726–R733. 17 indexed citations
3.
Fu, Yiling, John E. Hall, Deyin Lu, et al.. (2012). Aldosterone Blunts Tubuloglomerular Feedback by Activating Macula Densa Mineralocorticoid Receptors. Hypertension. 59(3). 599–606. 41 indexed citations
4.
Grunewald, Matthew, Shakevia Johnson, Deyin Lu, et al.. (2012). Mechanistic Role for a Novel Glucocorticoid-KLF11 (TIEG2) Protein Pathway in Stress-induced Monoamine Oxidase A Expression. Journal of Biological Chemistry. 287(29). 24195–24206. 84 indexed citations
5.
Zhu, Xiaolong, R. Davis Manning, Deyin Lu, et al.. (2011). Aldosterone stimulates superoxide production in macula densa cells. American Journal of Physiology-Renal Physiology. 301(3). F529–F535. 29 indexed citations
6.
Lu, Deyin, Yiling Fu, Arnaldo Lopez‐Ruiz, et al.. (2010). Salt-sensitive splice variant of nNOS expressed in the macula densa cells. American Journal of Physiology-Renal Physiology. 298(6). F1465–F1471. 35 indexed citations
7.
Johnson, Shakevia, Deyin Lu, Moussa B. H. Youdim, et al.. (2010). The New Inhibitor of Monoamine Oxidase, M30, has a Neuroprotective Effect Against Dexamethasone-Induced Brain Cell Apoptosis. Frontiers in Neuroscience. 4. 180–180. 26 indexed citations
8.
Subauste, M. Cecilia, et al.. (2010). Fem1b antigen in the stool of ApcMin mice as a biomarker of early Wnt signaling activation in intestinal neoplasia. Cancer Epidemiology. 35(1). 97–100. 1 indexed citations
9.
Ou, Xiao‐Ming, Deyin Lu, Shakevia Johnson, et al.. (2010). Ethanol Increases TIEG2–MAO B Cell Death Cascade in the Prefrontal Cortex of Ethanol-Preferring Rats. Neurotoxicity Research. 19(4). 511–518. 16 indexed citations
10.
Fu, Yiling, Rui Zhang, Deyin Lu, et al.. (2010). NOX2 is the primary source of angiotensin II-induced superoxide in the macula densa. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 298(3). R707–R712. 35 indexed citations
11.
Stockmeier, Craig A., Herbert Y. Meltzer, James C. Overholser, et al.. (2009). A Novel Role for Glyceraldehyde-3-Phosphate Dehydrogenase and Monoamine Oxidase B Cascade in Ethanol-Induced Cellular Damage. Biological Psychiatry. 67(9). 855–863. 51 indexed citations
12.
Ou, Xiao‐Ming, Deyin Lu, Kai Chen, et al.. (2009). Glyceraldehyde-3-Phosphate Dehydrogenase–Monoamine Oxidase B-Mediated Cell Death-Induced by Ethanol is Prevented by Rasagiline and 1-R-Aminoindan. Neurotoxicity Research. 16(2). 148–159. 36 indexed citations
13.
Johnson, Shakevia, et al.. (2009). Comparative Neuroprotective Effects of Rasagiline and Aminoindan with Selegiline on Dexamethasone-Induced Brain Cell Apoptosis. Neurotoxicity Research. 15(3). 284–290. 45 indexed citations
14.
Lu, Deyin, et al.. (2008). The Neuroprotective Effect of Antidepressant Drug via Inhibition of TIEG2-MAO B Mediated Cell Death.. PubMed. 2(5). 289–295. 19 indexed citations
15.
Futterweit, Walter, Deyin Lu, Peidong Shen, et al.. (2005). FEM1A is a candidate gene for polycystic ovary syndrome. Gynecological Endocrinology. 21(6). 330–335. 12 indexed citations
16.
Lu, Deyin, et al.. (2005). Abnormal Glucose Homeostasis and Pancreatic Islet Function in Mice with Inactivation of the Fem1b Gene. Molecular and Cellular Biology. 25(15). 6570–6577. 23 indexed citations
17.
Lu, Deyin, et al.. (2003). The Fem1c genes: conserved members of the Fem1 gene family in vertebrates. Gene. 314. 133–139. 29 indexed citations
18.
Lu, Deyin, et al.. (2001). Expression and significance of oncoprotein p16 and fos in osteosarcoma. Chinese Journal of Cancer Research. 13(1). 66–68.

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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