Dejun Yang

2.1k total citations · 2 hit papers
30 papers, 1.5k citations indexed

About

Dejun Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Dejun Yang has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Surgery. Recurrent topics in Dejun Yang's work include Amyotrophic Lateral Sclerosis Research (5 papers), Genetic Neurodegenerative Diseases (3 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). Dejun Yang is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (5 papers), Genetic Neurodegenerative Diseases (3 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). Dejun Yang collaborates with scholars based in China, United States and Canada. Dejun Yang's co-authors include Fen‐Biao Gao, Yubing Lu, Sandra Almeida, Raymond Mak, Mark W. Kankel, Anindya Sen, Mark Y. Fang, David J. Gonzalez, Florian Krach and Éric Lécuyer and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Dejun Yang

30 papers receiving 1.5k citations

Hit Papers

Context-Dependent and Disease-Specific Diversity in Prote... 2016 2026 2019 2022 2018 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dejun Yang China 15 907 499 252 213 168 30 1.5k
Xingli Li United States 18 905 1.0× 496 1.0× 384 1.5× 164 0.8× 218 1.3× 30 1.4k
Sara Oliván Spain 22 565 0.6× 509 1.0× 315 1.3× 212 1.0× 53 0.3× 39 1.3k
Marco Peviani Italy 21 605 0.7× 281 0.6× 169 0.7× 285 1.3× 62 0.4× 42 1.3k
Jun‐ichi Niwa Japan 15 477 0.5× 522 1.0× 248 1.0× 160 0.8× 131 0.8× 40 1.1k
Maria Lina Massimino Italy 25 1.3k 1.4× 231 0.5× 185 0.7× 221 1.0× 193 1.1× 58 1.9k
Gavin Falkous United Kingdom 20 1.1k 1.2× 280 0.6× 117 0.5× 218 1.0× 131 0.8× 43 1.5k
Daniele Cartelli Italy 17 546 0.6× 191 0.4× 110 0.4× 232 1.1× 199 1.2× 36 1.0k
Jacinda B. Sampson United States 19 813 0.9× 376 0.8× 376 1.5× 182 0.9× 92 0.5× 51 1.8k
Jianwen Deng China 19 810 0.9× 651 1.3× 254 1.0× 395 1.9× 108 0.6× 85 1.4k
Adam K. Walker Australia 23 692 0.8× 1.0k 2.1× 442 1.8× 276 1.3× 405 2.4× 45 1.8k

Countries citing papers authored by Dejun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dejun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Dejun Yang. A scholar is included among the top collaborators of Dejun Yang 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 Dejun Yang. Dejun Yang 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
2.
Yang, Hong, Semin Lee, Bethany C. Berry, et al.. (2023). A role for mutations in AK9 and other genes affecting ependymal cells in idiopathic normal pressure hydrocephalus. Proceedings of the National Academy of Sciences. 120(51). e2300681120–e2300681120. 15 indexed citations
3.
Huang, Ming, et al.. (2023). PAK1 contributes to cerebral ischemia/reperfusion injury by regulating the blood-brain barrier integrity. iScience. 26(8). 107333–107333. 2 indexed citations
4.
Liu, Kai, Xiaolin Dai, Yulin Wang, et al.. (2023). Toxic warhead-armed antibody for targeted treatment of glioblastoma. Critical Reviews in Oncology/Hematology. 193. 104205–104205. 1 indexed citations
5.
Shi, Mengyao, Zunqi Hu, Dejun Yang, et al.. (2022). Comparative Study of Pyloromyotomy and H-M Pyloroplasty in Proximal Gastrectomy for Adenocarcinoma of Esophageal-Gastric Junction. Journal of Gastrointestinal Surgery. 26(8). 1585–1595. 2 indexed citations
6.
Yang, Hong, Semin Lee, Dejun Yang, et al.. (2021). Deletions in CWH43 cause idiopathic normal pressure hydrocephalus. EMBO Molecular Medicine. 13(3). e13249–e13249. 39 indexed citations
7.
Zhang, Ruifu, et al.. (2020). Robotic versus laparoscopic gastrectomy for gastric cancer: a systematic review and meta-analysis. World Journal of Surgical Oncology. 18(1). 306–306. 39 indexed citations
8.
Li, Tianxia, Jingnan Liu, Xueping Li, et al.. (2020). Synphilin-1 Interacts with AMPK and Increases AMPK Phosphorylation. International Journal of Molecular Sciences. 21(12). 4352–4352. 10 indexed citations
9.
Markmiller, Sebastian, Sahar Soltanieh, Raymond Mak, et al.. (2018). Context-Dependent and Disease-Specific Diversity in Protein Interactions within Stress Granules. Cell. 172(3). 590–604.e13. 626 indexed citations breakdown →
10.
Smith, Wanli W., et al.. (2015). CCK Response Deficiency in Synphilin-1 Transgenic Mice. PLoS ONE. 10(11). e0142314–e0142314. 1 indexed citations
11.
Yang, Dejun, et al.. (2015). FTD/ALS-associated poly(GR) protein impairs the Notch pathway and is recruited by poly(GA) into cytoplasmic inclusions. Acta Neuropathologica. 130(4). 525–535. 96 indexed citations
12.
Li, Xueping, Yada Treesukosol, Alexander A. Moghadam, et al.. (2014). Behavioral Characterization of the Hyperphagia Synphilin-1 Overexpressing Mice. PLoS ONE. 9(5). e91449–e91449. 5 indexed citations
13.
Wei, Ziran, Weimin Wang, Chen Ji, et al.. (2014). A prospective, randomized, controlled study of ω-3 fish oil fat emulsion-based parenteral nutrition for patients following surgical resection of gastric tumors. Nutrition Journal. 13(1). 25–25. 46 indexed citations
14.
Yang, Dejun, et al.. (2013). Expression profiles analysis of pancreatic cancer.. PubMed. 17(3). 311–7. 8 indexed citations
15.
Li, Jinrong, Ke Chen, Jianqun Yan, et al.. (2012). Increased sucrose intake and corresponding c-Fos in amygdala and parabrachial nucleus of dietary obese rats. Neuroscience Letters. 525(2). 111–116. 4 indexed citations
16.
Yang, Dejun, et al.. (2012). Synphilin-1 alters metabolic homeostasis in a novel Drosophila obesity model. International Journal of Obesity. 36(12). 1529–1536. 29 indexed citations
17.
Gu, Xuefeng, et al.. (2012). Krüppel-like factor 8 is a novel androgen receptor co-activator in human prostate cancer. Acta Pharmacologica Sinica. 34(2). 282–288. 20 indexed citations
18.
Chen, Jihua, et al.. (2012). Netrin-1 Protects against L-Arginine-Induced Acute Pancreatitis in Mice. PLoS ONE. 7(9). e46201–e46201. 34 indexed citations
19.
Yan, Jianqun, Bo Lü, Xiaolin Zhao, et al.. (2009). Fos expression and hormone changes following electrical stimulation of the posterodorsal amygdala and the effects on food intake in conscious female rats. Brain Research. 1273. 83–91. 5 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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