Song‐Yu Yang

2.0k total citations
50 papers, 1.6k citations indexed

About

Song‐Yu Yang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, Song‐Yu Yang has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Endocrinology, Diabetes and Metabolism and 19 papers in Cell Biology. Recurrent topics in Song‐Yu Yang's work include Hormonal Regulation and Hypertension (19 papers), Metabolism and Genetic Disorders (13 papers) and Microbial Metabolic Engineering and Bioproduction (12 papers). Song‐Yu Yang is often cited by papers focused on Hormonal Regulation and Hypertension (19 papers), Metabolism and Genetic Disorders (13 papers) and Microbial Metabolic Engineering and Bioproduction (12 papers). Song‐Yu Yang collaborates with scholars based in United States, United Kingdom and Australia. Song‐Yu Yang's co-authors include Xue‐Ying He, Horst Schulz, Yingzi Yang, George Merz, Pankaj Mehta, David L. Miller, D Cuebas, Carl Dobkin, Jerzy Węgiel and Charles E. Isaacs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Song‐Yu Yang

48 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song‐Yu Yang United States 25 973 593 391 371 301 50 1.6k
Leonard A. Fahien United States 31 1.3k 1.4× 355 0.6× 266 0.7× 529 1.4× 555 1.8× 57 2.3k
Seymour B. Koritz United States 24 1.0k 1.1× 884 1.5× 204 0.5× 382 1.0× 235 0.8× 63 2.1k
Zhixing Yao United States 18 996 1.0× 249 0.4× 181 0.5× 499 1.3× 87 0.3× 30 2.1k
Fuminori Yamaguchi Japan 29 944 1.0× 971 1.6× 103 0.3× 447 1.2× 38 0.1× 66 2.3k
W. J. Malaisse Belgium 30 1.2k 1.2× 973 1.6× 729 1.9× 418 1.1× 84 0.3× 123 2.6k
Lidia de Bari Italy 26 959 1.0× 73 0.1× 302 0.8× 350 0.9× 229 0.8× 39 1.6k
Alfred Goldstone United States 28 1.1k 1.1× 182 0.3× 75 0.2× 398 1.1× 115 0.4× 52 1.9k
Rina Timberg Israel 20 1.1k 1.1× 278 0.5× 299 0.8× 149 0.4× 52 0.2× 28 2.0k
Andrew Midzak Canada 16 577 0.6× 278 0.5× 165 0.4× 180 0.5× 89 0.3× 19 1.2k
Gérard Cabello France 25 1.5k 1.6× 439 0.7× 269 0.7× 607 1.6× 42 0.1× 46 2.2k

Countries citing papers authored by Song‐Yu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Song‐Yu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song‐Yu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Song‐Yu Yang. A scholar is included among the top collaborators of Song‐Yu 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 Song‐Yu Yang. Song‐Yu 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
1.
He, Xue‐Ying, et al.. (2023). Involvement of Type 10 17β-Hydroxysteroid Dehydrogenase in the Pathogenesis of Infantile Neurodegeneration and Alzheimer’s Disease. International Journal of Molecular Sciences. 24(24). 17604–17604. 6 indexed citations
2.
Yang, Song‐Yu, Xue‐Ying He, Charles E. Isaacs, et al.. (2014). Roles of 17β-hydroxysteroid dehydrogenase type 10 in neurodegenerative disorders. The Journal of Steroid Biochemistry and Molecular Biology. 143. 460–472. 65 indexed citations
3.
Yang, Song‐Yu, Carl Dobkin, Xue‐Ying He, & W. Ted Brown. (2013). Transcription start sites and epigenetic analysis of the HSD17B10 proximal promoter. BMC Biochemistry. 14(1). 17–17. 8 indexed citations
4.
Yang, Song‐Yu, Carl Dobkin, Xue‐Ying He, Manfred Philipp, & W. Ted Brown. (2012). A 5-methylcytosine hotspot responsible for the prevalent HSD17B10 mutation. Gene. 515(2). 380–384. 10 indexed citations
5.
Yang, Song‐Yu, Xue‐Ying He, & David L. Miller. (2011). Hydroxysteroid (17β) dehydrogenase X in human health and disease. Molecular and Cellular Endocrinology. 343(1-2). 1–6. 39 indexed citations
6.
7.
Yang, Song‐Yu, Xue‐Ying He, & David L. Miller. (2007). HSD17B10: A gene involved in cognitive function through metabolism of isoleucine and neuroactive steroids. Molecular Genetics and Metabolism. 92(1-2). 36–42. 52 indexed citations
8.
Yang, Song‐Yu, Xue‐Ying He, & Horst Schulz. (2005). Multiple functions of type 10 17β-hydroxysteroid dehydrogenase. Trends in Endocrinology and Metabolism. 16(4). 167–175. 99 indexed citations
9.
Yang, Song‐Yu, Xue‐Ying He, & Horst Schulz. (2005). 3‐Hydroxyacyl‐CoA dehydrogenase and short chain 3‐hydroxyacyl‐CoA dehydrogenase in human health and disease. FEBS Journal. 272(19). 4874–4883. 74 indexed citations
10.
He, Xue‐Ying, Jerzy Węgiel, Yingzi Yang, et al.. (2004). Type 10 17beta-hydroxysteroid dehydrogenase catalyzing the oxidation of steroid modulators of γ-aminobutyric acid type A receptors. Molecular and Cellular Endocrinology. 229(1-2). 111–117. 45 indexed citations
11.
He, Xue‐Ying, et al.. (2003). Oxidative 3α-hydroxysteroid dehydrogenase activity of human type 10 17β-hydroxysteroid dehydrogenase. The Journal of Steroid Biochemistry and Molecular Biology. 87(2-3). 191–198. 48 indexed citations
12.
13.
Yang, Song‐Yu & Xue‐Ying He. (2001). Role of Type 10 17ß-Hydroxysteroid Dehydrogenase in the Pathogenesis of Alzheimer’s Disease. Advances in experimental medicine and biology. 487. 101–110. 18 indexed citations
14.
He, Xue‐Ying, George Merz, Pankaj Mehta, Horst Schulz, & Song‐Yu Yang. (1999). Human Brain Short Chain l-3-Hydroxyacyl Coenzyme A Dehydrogenase Is a Single-domain Multifunctional Enzyme. Journal of Biological Chemistry. 274(21). 15014–15019. 119 indexed citations
15.
He, Xue‐Ying, Horst Schulz, & Song‐Yu Yang. (1998). A Human Brain l-3-Hydroxyacyl-coenzyme A Dehydrogenase Is Identical to an Amyloid β-Peptide-binding Protein Involved in Alzheimer's Disease. Journal of Biological Chemistry. 273(17). 10741–10746. 107 indexed citations
16.
He, Xue‐Ying & Song‐Yu Yang. (1998). Molecular cloning, expression in Escherichia coli, and characterization of a novel l-3-hydroxyacyl coenzyme A dehydrogenase from pig liver. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1392(1). 119–126. 14 indexed citations
17.
He, Xue‐Ying, Song‐Yu Yang, & Horst Schulz. (1997). Cloning and Expression of the fadH Gene and Characterization of the Gene Product 2,4‐Dienoyl Coenzyme A Reductase from Escherichia Coli. European Journal of Biochemistry. 248(2). 516–520. 26 indexed citations
18.
19.
He, Xue‐Ying, Song‐Yu Yang, & Horst Schulz. (1992). Inhibition of enoyl-CoA hydratase by long-chain l-3-hydroxyacyl-CoA and its possible effect on fatty acid oxidation. Archives of Biochemistry and Biophysics. 298(2). 527–531. 27 indexed citations
20.
He, Xue‐Ying, Song‐Yu Yang, & Horst Schulz. (1989). Assay of l-3-hydroxyacyl-coenzyme A dehydrogenase with substrates of different chain lengths. Analytical Biochemistry. 180(1). 105–109. 36 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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