Xiaoju Yang

1.1k total citations
18 papers, 890 citations indexed

About

Xiaoju Yang is a scholar working on Molecular Biology, Behavioral Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaoju Yang has authored 18 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Behavioral Neuroscience and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaoju Yang's work include Stress Responses and Cortisol (6 papers), Epigenetics and DNA Methylation (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Xiaoju Yang is often cited by papers focused on Stress Responses and Cortisol (6 papers), Epigenetics and DNA Methylation (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Xiaoju Yang collaborates with scholars based in United States, China and United Kingdom. Xiaoju Yang's co-authors include Gary S. Wand, Richard S. Lee, Kellie L. Tamashiro, James B. Potash, Yuqing Huo, Kristin H. Horn, Ryan H. Purcell, Michael Rongione, Virginia L. Willour and Lynn M. Oswald and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Endocrinology and Journal of Neurochemistry.

In The Last Decade

Xiaoju Yang

18 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoju Yang United States 13 325 317 208 188 130 18 890
Ryan H. Purcell United States 13 266 0.8× 417 1.3× 392 1.9× 169 0.9× 227 1.7× 24 1.1k
Jordan Marrocco United States 18 542 1.7× 247 0.8× 133 0.6× 169 0.9× 146 1.1× 33 1.1k
Shosh Gil Israel 20 506 1.6× 532 1.7× 114 0.5× 205 1.1× 187 1.4× 27 1.4k
C E Finch United States 7 414 1.3× 209 0.7× 92 0.4× 299 1.6× 172 1.3× 9 1.1k
Louise K. Sjöholm Sweden 17 173 0.5× 293 0.9× 120 0.6× 90 0.5× 140 1.1× 23 1.1k
Alessia Luoni Italy 22 565 1.7× 336 1.1× 210 1.0× 370 2.0× 97 0.7× 31 1.4k
R.M. Sibug Netherlands 11 448 1.4× 161 0.5× 94 0.5× 152 0.8× 78 0.6× 16 916
Gersham Dent United States 18 440 1.4× 152 0.5× 133 0.6× 110 0.6× 138 1.1× 31 893
Marie A. Labouesse Switzerland 16 177 0.5× 217 0.7× 108 0.5× 173 0.9× 104 0.8× 21 942
Karen L. French United Kingdom 11 293 0.9× 87 0.3× 174 0.8× 117 0.6× 142 1.1× 12 719

Countries citing papers authored by Xiaoju Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoju Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoju Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoju Yang. A scholar is included among the top collaborators of Xiaoju 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 Xiaoju Yang. Xiaoju Yang 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.
Yang, Xiaoju, et al.. (2022). Effects of internet-based cognitive behavioral therapy on postpartum depression. Medicine. 101(9). e28964–e28964. 1 indexed citations
2.
3.
Lee, Richard S., Pamela B. Mahon, Peter P. Zandi, et al.. (2018). DNA methylation and sex-specific expression of FKBP5 as correlates of one-month bedtime cortisol levels in healthy individuals. Psychoneuroendocrinology. 97. 164–173. 25 indexed citations
4.
5.
Weerts, Elise M., Gary S. Wand, Brion S. Maher, et al.. (2017). Independent and Interactive Effects of OPRM1 and DAT1 Polymorphisms on Alcohol Consumption and Subjective Responses in Social Drinkers. Alcoholism Clinical and Experimental Research. 41(6). 1093–1104. 7 indexed citations
6.
Seifuddin, Fayaz, Gary S. Wand, Olivia Cox, et al.. (2017). Genome-wide Methyl-Seq analysis of blood-brain targets of glucocorticoid exposure. Epigenetics. 12(8). 637–652. 28 indexed citations
7.
Yang, Xiaoju. (2014). Validation of ASCAT sea surface wind products in the Northern China Sea. 1 indexed citations
8.
Ewald, Erin R., Gary S. Wand, Fayaz Seifuddin, et al.. (2014). Alterations in DNA methylation of Fkbp5 as a determinant of blood–brain correlation of glucocorticoid exposure. Psychoneuroendocrinology. 44. 112–122. 83 indexed citations
9.
Yang, Xiaoju, Erin R. Ewald, Yuqing Huo, et al.. (2012). Glucocorticoid-induced loss of DNA methylation in non-neuronal cells and potential involvement of DNMT1 in epigenetic regulation of Fkbp5. Biochemical and Biophysical Research Communications. 420(3). 570–575. 74 indexed citations
10.
Weerts, Elise M., Mary E. McCaul, Hiroto Kuwabara, et al.. (2012). Influence of OPRM1 Asn40Asp variant (A118G) on [11C]carfentanil binding potential: preliminary findings in human subjects. The International Journal of Neuropsychopharmacology. 16(1). 47–53. 57 indexed citations
11.
Lee, Richard S., Kellie L. Tamashiro, Xiaoju Yang, et al.. (2011). A measure of glucocorticoid load provided by DNA methylation of Fkbp5 in mice. Psychopharmacology. 218(1). 303–312. 80 indexed citations
12.
Lee, Richard S., Kellie L. Tamashiro, Xiaoju Yang, et al.. (2010). Chronic Corticosterone Exposure Increases Expression and Decreases Deoxyribonucleic Acid Methylation of Fkbp5 in Mice. Endocrinology. 151(9). 4332–4343. 205 indexed citations
13.
Yang, Xiaoju, et al.. (2008). Restraint Stress and Ethanol Consumption in Two Mouse Strains. Alcoholism Clinical and Experimental Research. 32(5). 840–852. 39 indexed citations
14.
Chong, Rachel Y., Lynn M. Oswald, Xiaoju Yang, et al.. (2005). The Mu-Opioid Receptor Polymorphism A118G Predicts Cortisol Responses to Naloxone and Stress. Neuropsychopharmacology. 31(1). 204–211. 120 indexed citations
15.
Yang, Xiaoju & Gary S. Wand. (2000). Ethanol Uses cAMP‐Independent Signal Transduction Mechanisms to Activate Proenkephalin Promoter Activity in Rat C6 Glioma Cells. Alcoholism Clinical and Experimental Research. 24(7). 952–957. 3 indexed citations
16.
Yang, Xiaoju, Kristin H. Horn, Jay M. Baraban, & Gary S. Wand. (1998). Chronic Ethanol Administration Decreases Phosphorylation of Cyclic AMP Response Element‐Binding Protein in Granule Cells of Rat Cerebellum. Journal of Neurochemistry. 70(1). 224–232. 50 indexed citations
17.
Yang, Xiaoju, Kristin H. Horn, & Gary S. Wand. (1998). Chronic Ethanol Exposure Impairs Phosphorylation of CREB and CRE‐Binding Activity in Rat Striatum. Alcoholism Clinical and Experimental Research. 22(2). 382–390. 60 indexed citations
18.
Yang, Xiaoju, Anna Mae Diehl, & Gary S. Wand. (1996). Ethanol exposure alters the phosphorylation of cyclic AMP responsive element binding protein and cyclic AMP responsive element binding activity in rat cerebellum.. Journal of Pharmacology and Experimental Therapeutics. 278(1). 338–346. 40 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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