Yang Yuan

1.8k total citations · 1 hit paper
38 papers, 1.3k citations indexed

About

Yang Yuan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ophthalmology. According to data from OpenAlex, Yang Yuan has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Ophthalmology. Recurrent topics in Yang Yuan's work include Retinal Diseases and Treatments (7 papers), Retinal Development and Disorders (7 papers) and Ion Transport and Channel Regulation (5 papers). Yang Yuan is often cited by papers focused on Retinal Diseases and Treatments (7 papers), Retinal Development and Disorders (7 papers) and Ion Transport and Channel Regulation (5 papers). Yang Yuan collaborates with scholars based in United States, China and Germany. Yang Yuan's co-authors include Jyothi Arikkath, Gerard M. J. Beaudoin, Louis F. Reichardt, Neena B. Haider, Andrew J. Sachs, Steven C. Sansom, Donghai Wen, Ryan J. Cornelius, Juan C. Marini and Inka C. Didelija and has published in prestigious journals such as PLoS ONE, Scientific Reports and Nature Protocols.

In The Last Decade

Yang Yuan

38 papers receiving 1.3k citations

Hit Papers

Culturing pyramidal neurons from the early postnatal mous... 2012 2026 2016 2021 2012 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Culturing pyramidal neurons from the early postnatal mouse hippocampus and cortex
    2012 489 citations Gerard M. J. Beaudoin, Yang Yuan et al. Nature Protocols profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Yuan United States 16 623 358 207 190 152 38 1.3k
Masako M. Bilak United States 20 664 1.1× 377 1.1× 198 1.0× 164 0.9× 215 1.4× 26 1.3k
Zelda H. Cheung Hong Kong 18 692 1.1× 543 1.5× 196 0.9× 248 1.3× 121 0.8× 23 1.5k
Irina Semkova Germany 21 840 1.3× 500 1.4× 160 0.8× 156 0.8× 283 1.9× 40 1.7k
Subhas C. Biswas India 23 1.1k 1.8× 343 1.0× 186 0.9× 404 2.1× 185 1.2× 59 1.8k
Cécile Delarasse France 22 508 0.8× 242 0.7× 130 0.6× 249 1.3× 573 3.8× 43 2.0k
Mario Alberghina Italy 21 549 0.9× 227 0.6× 65 0.3× 214 1.1× 201 1.3× 81 1.1k
Juha Kuja‐Panula Finland 17 1.0k 1.7× 320 0.9× 170 0.8× 176 0.9× 187 1.2× 22 1.9k
Cinzia Mallozzi Italy 22 1.1k 1.8× 229 0.6× 71 0.3× 733 3.9× 186 1.2× 50 2.0k
Chi Him Eddie Hong Kong 20 362 0.6× 520 1.5× 205 1.0× 336 1.8× 390 2.6× 42 1.4k
Laura Contreras Spain 21 1.2k 2.0× 515 1.4× 65 0.3× 358 1.9× 115 0.8× 37 1.8k

Countries citing papers authored by Yang Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Yang Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Yuan. A scholar is included among the top collaborators of Yang Yuan 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 Yang Yuan. Yang Yuan 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.
Zhang, Zhijun, et al.. (2023). Effect of pachymaran on oxidative stress and DNA damage induced by formaldehyde. Scientific Reports. 13(1). 17465–17465. 4 indexed citations
2.
Liu, Ting, Liying Hong, Yang Yuan, et al.. (2020). Metformin reduces proteinuria in spontaneously hypertensive rats by activating the HIF-2α-VEGF-A pathway. European Journal of Pharmacology. 891. 173731–173731. 12 indexed citations
3.
4.
Yuan, Yang, et al.. (2020). Novel p.G1344E mutation in FBN1 is associated with ectopia lentis. British Journal of Ophthalmology. 105(3). 341–347. 7 indexed citations
5.
Yuan, Yang, et al.. (2019). [Analysis of HINT1 gene variant in a case with neuromyotonia and axonal neuropathy].. PubMed. 36(8). 817–820. 1 indexed citations
6.
7.
Wang, Xiaoying, Yang Yuan, Inka C. Didelija, Mahmoud A. Mohammad, & Juan C. Marini. (2018). Ex Vivo Enteroids Recapitulate In Vivo Citrulline Production in Mice. Journal of Nutrition. 148(9). 1415–1420. 3 indexed citations
8.
Marini, Juan C., Jason L. Robinson, Yang Yuan, et al.. (2017). The intestinal-renal axis for arginine synthesis is present and functional in the neonatal pig. American Journal of Physiology-Endocrinology and Metabolism. 313(2). E233–E242. 28 indexed citations
9.
Didelija, Inka C., et al.. (2017). Supplemental Citrulline Is More Efficient Than Arginine in Increasing Systemic Arginine Availability in Mice. Journal of Nutrition. 147(4). 596–602. 63 indexed citations
10.
Cornelius, Ryan J., et al.. (2015). Low Na, High K Diet and the Role of Aldosterone in BK-Mediated K Excretion. PLoS ONE. 10(1). e0115515–e0115515. 27 indexed citations
11.
Cruz, Nelly M., Yang Yuan, Barrett Leehy, et al.. (2014). Modifier Genes as Therapeutics: The Nuclear Hormone Receptor Rev Erb Alpha (Nr1d1) Rescues Nr2e3 Associated Retinal Disease. PLoS ONE. 9(1). e87942–e87942. 38 indexed citations
12.
Song, Wei, Rui Huang, Ke Chen, et al.. (2013). GAK rs1564282 and DGKQ rs11248060 increase the risk for Parkinson’s disease in a Chinese population. Journal of Clinical Neuroscience. 20(6). 880–883. 30 indexed citations
13.
Beaudoin, Gerard M. J., et al.. (2012). Culturing pyramidal neurons from the early postnatal mouse hippocampus and cortex. Nature Protocols. 7(9). 1741–1754. 489 indexed citations breakdown →
14.
Chen, Yongping, Yan Zeng, Rui Huang, et al.. (2012). No association of five candidate genetic variants with amyotrophic lateral sclerosis in a Chinese population. Neurobiology of Aging. 33(11). 2721.e3–2721.e5. 12 indexed citations
15.
Zhang, Zifeng, Mari Hoff, Andrew J. Sachs, et al.. (2011). Orally Active Multi-Functional Antioxidants Are Neuroprotective in a Rat Model of Light-Induced Retinal Damage. PLoS ONE. 6(7). e21926–e21926. 14 indexed citations
16.
Yuan, Yang, Barrett Leehy, Alexandra C. Silveira, et al.. (2011). Genetic Variations Strongly Influence Phenotypic Outcome in the Mouse Retina. PLoS ONE. 6(7). e21858–e21858. 27 indexed citations
17.
Jun, Gyungah, Michael Nicolaou, Margaux A. Morrison, et al.. (2011). Influence of ROBO1 and RORA on Risk of Age-Related Macular Degeneration Reveals Genetically Distinct Phenotypes in Disease Pathophysiology. PLoS ONE. 6(10). e25775–e25775. 27 indexed citations
18.
Ajroud‐Driss, Senda, Faisal Fecto, Kaouther Ajroud, et al.. (2009). A novel de novo MFN2 mutation causing CMT2A with upper motor neuron signs. Neurogenetics. 10(4). 359–361. 11 indexed citations
19.
20.
Hentati, Afif, Karim Ouahchi, Margaret A. Pericak‐Vance, et al.. (1998). Linkage of a commoner form of recessive amyotrophic lateral sclerosis to chromosome 15q15-q22 markers. Neurogenetics. 2(1). 55–60. 126 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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