Suxia Bai

1.3k total citations
20 papers, 983 citations indexed

About

Suxia Bai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Suxia Bai has authored 20 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Genetics. Recurrent topics in Suxia Bai's work include Prostate Cancer Treatment and Research (7 papers), Immunotherapy and Immune Responses (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). Suxia Bai is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Immunotherapy and Immune Responses (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). Suxia Bai collaborates with scholars based in United States, China and Austria. Suxia Bai's co-authors include Elizabeth M. Wilson, Bin He, James L. Mohler, John T. Minges, Caiying Guo, Andrew T. Hnat, Emily B. Askew, Yasuyuki Shima, Adam W. Hantman and Ken Sugino and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Molecular and Cellular Biology.

In The Last Decade

Suxia Bai

17 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suxia Bai United States 13 457 293 263 171 134 20 983
Katsumasa Takahashi Japan 22 454 1.0× 125 0.4× 178 0.7× 70 0.4× 23 0.2× 60 1.4k
Nadejda M. Tsankova United States 18 543 1.2× 123 0.4× 82 0.3× 56 0.3× 67 0.5× 58 1.1k
Melody P. Lun United States 7 577 1.3× 166 0.6× 60 0.2× 181 1.1× 28 0.2× 8 1.4k
Chantal Thys Belgium 19 332 0.7× 105 0.4× 103 0.4× 194 1.1× 53 0.4× 45 1.1k
Stefania Guazzi Italy 12 687 1.5× 131 0.4× 55 0.2× 225 1.3× 150 1.1× 14 953
Fabien Guimiot France 16 334 0.7× 69 0.2× 116 0.4× 132 0.8× 25 0.2× 42 834
Gwyndolen Harburg United States 10 602 1.3× 97 0.3× 45 0.2× 138 0.8× 20 0.1× 11 1.2k
Éva Gömöri Hungary 14 217 0.5× 39 0.1× 109 0.4× 82 0.5× 71 0.5× 33 662
Patrice Roll France 19 615 1.3× 94 0.3× 53 0.2× 222 1.3× 19 0.1× 54 1.0k
Georg Rosenberger Germany 19 653 1.4× 78 0.3× 89 0.3× 312 1.8× 21 0.2× 35 1.1k

Countries citing papers authored by Suxia Bai

Since Specialization
Citations

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

Fields of papers citing papers by Suxia Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suxia Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Suxia Bai. A scholar is included among the top collaborators of Suxia Bai 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 Suxia Bai. Suxia Bai 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.
Misialek, Jeffrey R., Stephanie H. Cholensky, Suxia Bai, et al.. (2025). GDF3 promotes adipose tissue macrophage-mediated inflammation via altered chromatin accessibility during aging. Nature Aging. 6(1). 127–142.
2.
Uebbing, Severin, et al.. (2024). Evolutionary Innovations in Conserved Regulatory Elements Associate With Developmental Genes in Mammals. Molecular Biology and Evolution. 41(10). 1 indexed citations
3.
Kumar, Abhishek, Igor Barsukov, Miusi Shi, et al.. (2024). Cellular stiffness sensing through talin 1 in tissue mechanical homeostasis. Science Advances. 10(34). eadi6286–eadi6286. 5 indexed citations
4.
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6.
Askew, Emily B., Suxia Bai, Amanda B. Parris, John T. Minges, & Elizabeth M. Wilson. (2016). Androgen receptor regulation by histone methyltransferase Suppressor of variegation 3-9 homolog 2 and Melanoma antigen-A11. Molecular and Cellular Endocrinology. 443. 42–51. 16 indexed citations
7.
Fortin, Dale A., Shane Tillo, Guang Yang, et al.. (2014). Live Imaging of Endogenous PSD-95 Using ENABLED: A Conditional Strategy to Fluorescently Label Endogenous Proteins. Journal of Neuroscience. 34(50). 16698–16712. 56 indexed citations
8.
Tan, Jiann-an, Suxia Bai, Gail Grossman, et al.. (2013). Mechanism of androgen receptor corepression by CKβBP2/CRIF1, a multifunctional transcription factor coregulator expressed in prostate cancer. Molecular and Cellular Endocrinology. 382(1). 302–313. 8 indexed citations
9.
Huang, Cheng-Chiu, Ken Sugino, Yasuyuki Shima, et al.. (2013). Convergence of pontine and proprioceptive streams onto multimodal cerebellar granule cells. eLife. 2. e00400–e00400. 169 indexed citations
10.
Mohler, James L., Mark Titus, Suxia Bai, et al.. (2011). Activation of the Androgen Receptor by Intratumoral Bioconversion of Androstanediol to Dihydrotestosterone in Prostate Cancer. Cancer Research. 71(4). 1486–1496. 120 indexed citations
11.
Askew, Emily B., et al.. (2010). Transcriptional Synergy between Melanoma Antigen Gene Protein-A11 (MAGE-11) and p300 in Androgen Receptor Signaling. Journal of Biological Chemistry. 285(28). 21824–21836. 44 indexed citations
12.
Askew, Emily B., Suxia Bai, Andrew T. Hnat, John T. Minges, & Elizabeth M. Wilson. (2009). Melanoma Antigen Gene Protein-A11 (MAGE-11) F-box Links the Androgen Receptor NH2-terminal Transactivation Domain to p160 Coactivators. Journal of Biological Chemistry. 284(50). 34793–34808. 40 indexed citations
13.
Karpf, Adam R., Suxia Bai, Smitha R. James, James L. Mohler, & Elizabeth M. Wilson. (2009). Increased Expression of Androgen Receptor Coregulator MAGE-11 in Prostate Cancer by DNA Hypomethylation and Cyclic AMP. Molecular Cancer Research. 7(4). 523–535. 90 indexed citations
14.
Bai, Suxia & Elizabeth M. Wilson. (2008). Epidermal Growth Factor-Dependent Phosphorylation and Ubiquitinylation of MAGE-11 Regulates Its Interaction with the Androgen Receptor. Molecular and Cellular Biology. 28(6). 1947–1963. 53 indexed citations
15.
Bai, Suxia, Bin He, & Elizabeth M. Wilson. (2005). Melanoma Antigen Gene Protein MAGE-11 Regulates Androgen Receptor Function by Modulating the Interdomain Interaction. Molecular and Cellular Biology. 25(4). 1238–1257. 114 indexed citations
16.
Qiu, Wei, Liang Zhao, Suxia Bai, Qing‐Xiang Amy Sang, & Yanling Wang. (2005). Expression of matrix metalloproteinase--26 in human normal placental cytotrophoblast cells as well as its regulation by activin A. Europe PMC (PubMed Central). 32(1). 25–30. 3 indexed citations
17.
He, Bin, Suxia Bai, Andrew T. Hnat, et al.. (2004). An Androgen Receptor NH2-terminal Conserved Motif Interacts with the COOH Terminus of the Hsp70-interacting Protein (CHIP). Journal of Biological Chemistry. 279(29). 30643–30653. 109 indexed citations
18.
Qiu, Wei, Suxia Bai, Meirong Zhao, et al.. (2004). Spatio-Temporal Expression of Matrix Metalloproteinase-26 in Human Placental Trophoblasts and Fetal Red Cells During Normal Placentation1. Biology of Reproduction. 72(4). 954–959. 15 indexed citations
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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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