Austin J. Yang

6.9k total citations · 1 hit paper
59 papers, 3.2k citations indexed

About

Austin J. Yang is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Austin J. Yang has authored 59 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 23 papers in Physiology and 8 papers in Oncology. Recurrent topics in Austin J. Yang's work include Alzheimer's disease research and treatments (22 papers), DNA Repair Mechanisms (7 papers) and Advanced Proteomics Techniques and Applications (7 papers). Austin J. Yang is often cited by papers focused on Alzheimer's disease research and treatments (22 papers), DNA Repair Mechanisms (7 papers) and Advanced Proteomics Techniques and Applications (7 papers). Austin J. Yang collaborates with scholars based in United States, Canada and China. Austin J. Yang's co-authors include Stefani N. Thomas, Charles Glabe, David Clark, Tina L. Tekirian, Frank Yang, Zhongping Liao, Li Mao, Yunhu Wan, Peter Davies and Young Y. Jeng and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Austin J. Yang

58 papers receiving 3.2k citations

Hit Papers

align trajectories

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.

ApoE Cascade Hypothesis in the pathogenesis of Alzheimer’s disease and related dementias

2022 166 citations Yuka A. Martens, Na Zhao et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Austin J. Yang United States	29	1.8k	1.5k	489	421	365	59	3.2k
Peer‐Hendrik Kuhn Germany	26	1.5k 0.8×	1.3k 0.9×	506 1.0×	184 0.4×	245 0.7×	43	3.0k
William P. Esler United States	23	1.8k 1.0×	2.2k 1.4×	381 0.8×	308 0.7×	270 0.7×	40	3.4k
Angela Messina Italy	34	2.7k 1.5×	814 0.5×	358 0.7×	241 0.6×	153 0.4×	84	3.8k
María Dolores Ledesma Spain	33	2.0k 1.1×	1.8k 1.2×	716 1.5×	446 1.1×	378 1.0×	60	3.7k
Tracy O’Connor Switzerland	14	1.4k 0.8×	1.2k 0.8×	338 0.7×	380 0.9×	497 1.4×	23	3.2k
Sebastian Munck Belgium	28	1.6k 0.9×	631 0.4×	548 1.1×	261 0.6×	180 0.5×	66	3.0k
Haowei Song United States	26	1.1k 0.6×	973 0.6×	318 0.7×	325 0.8×	234 0.6×	38	2.3k
Alessio Colombo Italy	25	1.4k 0.8×	1.3k 0.8×	295 0.6×	157 0.4×	709 1.9×	41	3.0k
Tatyana Gurlo United States	32	2.0k 1.1×	1.7k 1.1×	1.0k 2.1×	662 1.6×	127 0.3×	60	4.9k
Helen L. Byers United Kingdom	21	1.2k 0.7×	967 0.6×	287 0.6×	200 0.5×	181 0.5×	29	2.2k

Countries citing papers authored by Austin J. Yang

Since Specialization

Citations

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

Fields of papers citing papers by Austin J. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Austin J. Yang

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

All Works

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20 of 20 papers shown

Martens, Yuka A., Na Zhao, Chia‐Chen Liu, et al.. (2022). ApoE Cascade Hypothesis in the pathogenesis of Alzheimer’s disease and related dementias. Neuron. 110(8). 1304–1317. 166 indexed citations breakdown →

Zhu, Dandan, Xuemei Tan, Liqing Lu, et al.. (2021). Interplay between nuclear factor erythroid 2-related factor 2 and inflammatory mediators in COVID-19-related liver injury. World Journal of Gastroenterology. 27(22). 2944–2962. 15 indexed citations

Thomas, Stefani N. & Austin J. Yang. (2016). Mass Spectrometry Analysis of Lysine Posttranslational Modifications of Tau Protein from Alzheimer’s Disease Brain. Methods in molecular biology. 1523. 161–177. 12 indexed citations

Liao, Zhongping, et al.. (2016). Human DNA Ligase I Interacts with and Is Targeted for Degradation by the DCAF7 Specificity Factor of the Cul4-DDB1 Ubiquitin Ligase Complex. Journal of Biological Chemistry. 291(42). 21893–21902. 22 indexed citations

Mei, Yuping, Yuyan Wang, Priti Kumari, et al.. (2015). A piRNA-like small RNA interacts with and modulates p-ERM proteins in human somatic cells. Nature Communications. 6(1). 7316–7316. 85 indexed citations

Clark, David, William E. Fondrie, Austin J. Yang, & Li Mao. (2015). Triple SILAC quantitative proteomic analysis reveals differential abundance of cell signaling proteins between normal and lung cancer-derived exosomes. Journal of Proteomics. 133. 161–169. 122 indexed citations

Liao, Zhongping, Barbara Dziegielewska, Stefani N. Thomas, et al.. (2012). Phosphorylation of Serine 51 Regulates the Interaction of Human DNA Ligase I with Replication Factor C and Its Participation in DNA Replication and Repair. Journal of Biological Chemistry. 287(44). 36711–36719. 11 indexed citations

Thomas, Stefani N., Yunhu Wan, Zhongping Liao, Phyllis I. Hanson, & Austin J. Yang. (2011). Stable Isotope Labeling with Amino Acids in Cell Culture Based Mass Spectrometry Approach to Detect Transient Protein Interactions Using Substrate Trapping. Analytical Chemistry. 83(14). 5511–5518. 7 indexed citations

Shaw, James E., Aaron Y. Lai, Lynsie A.M. Thomason, et al.. (2011). Aβ(1-42) Assembly in the Presence of scyllo-Inositol Derivatives: Identification of an Oxime Linkage as Important for the Development of Assembly Inhibitors. ACS Chemical Neuroscience. 3(3). 167–177. 9 indexed citations

10.

Vijayakumar, Sangeetha, Barbara Dziegielewska, David S. Levin, et al.. (2009). Phosphorylation of Human DNA Ligase I Regulates Its Interaction with Replication Factor C and Its Participation in DNA Replication and DNA Repair. Molecular and Cellular Biology. 29(8). 2042–2052. 27 indexed citations

11.

Cao, Xuefei, Carmen Plasencia, Atsuko Kanzaki, et al.. (2009). Elucidation of the Molecular Mechanisms of a Salicylhydrazide Class of Compounds by Proteomic Analysis. Current Cancer Drug Targets. 9(2). 189–201. 6 indexed citations

12.

Miller, John H., Shuangshuang Jin, W.F. Morgan, et al.. (2008). Profiling Mitochondrial Proteins in Radiation-Induced Genome-Unstable Cell Lines with Persistent Oxidative Stress by Mass Spectrometry. Radiation Research. 169(6). 700–706. 17 indexed citations

13.

Thomas, Stefani N., et al.. (2006). Doxorubicin Down-regulates Krüppel-associated Box Domain-associated Protein 1 Sumoylation That Relieves Its Transcription Repression on p21WAF1/CIP1 in Breast Cancer MCF-7 Cells. Journal of Biological Chemistry. 282(3). 1595–1606. 94 indexed citations

14.

Thomas, Stefani N., et al.. (2006). Alzheimer Disease-specific Conformation of Hyperphosphorylated Paired Helical Filament-Tau Is Polyubiquitinated through Lys-48, Lys-11, and Lys-6 Ubiquitin Conjugation. Journal of Biological Chemistry. 281(16). 10825–10838. 254 indexed citations

15.

Thomas, Stefani N., Brian A. Soreghan, Mihaela Nistor, et al.. (2005). Reduced neuronal expression of synaptic transmission modulator HNK‐1/neural cell adhesion molecule as a potential consequence of amyloid β‐mediated oxidative stress: a proteomic approach. Journal of Neurochemistry. 92(4). 705–717. 21 indexed citations

16.

Soreghan, Brian A., et al.. (2004). Rapid Characterization of Amyloid-β Side-Chain Oxidation by Tandem Mass Spectrometry and the Scoring Algorithm for Spectral Analysis. Pharmaceutical Research. 21(7). 1094–1102. 15 indexed citations

17.

Tekirian, Tina L., et al.. (2001). Lysosomal Membrane Damage in Soluble Aβ-Mediated Cell Death in Alzheimer's Disease. Neurobiology of Disease. 8(1). 19–31. 168 indexed citations

18.

Yang, Austin J., et al.. (1999). Intracellular Accumulation of Insoluble, Newly Synthesized Aβn-42 in Amyloid Precursor Protein-transfected Cells That Have Been Treated with Aβ1–42. Journal of Biological Chemistry. 274(29). 20650–20656. 96 indexed citations

19.

Yang, Austin J., Mary F. Knauer, Debra Burdick, & Charles Glabe. (1995). Intracellular Aβ1-42 Aggregates Stimulate the Accumulation of Stable, Insoluble Amyloidogenic Fragments of the Amyloid Precursor Protein in Transfected Cells. Journal of Biological Chemistry. 270(24). 14786–14792. 117 indexed citations

20.

Yang, Austin J. & R. Michael Mulligan. (1993). Distribution of maize mitochondrial transcripts in polysomal RNA: evidence for non-selectivity in recruitment of mRNAs. Current Genetics. 23(5-6). 532–536. 11 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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