Chang Bai

4.1k total citations · 1 hit paper
27 papers, 2.3k citations indexed

About

Chang Bai is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Chang Bai has authored 27 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Oncology. Recurrent topics in Chang Bai's work include Estrogen and related hormone effects (7 papers), Receptor Mechanisms and Signaling (3 papers) and Prostate Cancer Treatment and Research (3 papers). Chang Bai is often cited by papers focused on Estrogen and related hormone effects (7 papers), Receptor Mechanisms and Signaling (3 papers) and Prostate Cancer Treatment and Research (3 papers). Chang Bai collaborates with scholars based in United States, China and France. Chang Bai's co-authors include Stephen J. Elledge, J. Wade Harper, Partha Sen, Mark Goebl, Kay Hofmann, Lei Ma, Qingyun Liu, C. Thomas Caskey, Ruiping Wang and Michael J. Davidoff and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Chang Bai

25 papers receiving 2.2k citations

Hit Papers

SKP1 Connects Cell Cycle Regulators to the Ubiquitin Prot... 1996 2026 2006 2016 1996 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Bai United States 15 1.5k 455 409 296 235 27 2.3k
Kwan‐Hyuck Baek South Korea 26 1.1k 0.7× 302 0.7× 449 1.1× 98 0.3× 177 0.8× 50 1.9k
Jan O. Nehlin Denmark 24 2.3k 1.5× 289 0.6× 194 0.5× 377 1.3× 117 0.5× 52 2.8k
Zheng Cui China 24 1.7k 1.1× 262 0.6× 172 0.4× 315 1.1× 380 1.6× 67 2.8k
Nicola T. Wood United Kingdom 28 2.2k 1.4× 382 0.8× 415 1.0× 358 1.2× 57 0.2× 51 2.9k
Klaus Holzmann Austria 30 1.6k 1.1× 165 0.4× 399 1.0× 132 0.4× 132 0.6× 84 2.2k
Sejeong Shin United States 21 1.6k 1.1× 369 0.8× 541 1.3× 131 0.4× 89 0.4× 30 2.2k
Hassan Bousbaa Portugal 25 1.3k 0.8× 789 1.7× 457 1.1× 258 0.9× 114 0.5× 72 2.2k
Cheol O. Joe South Korea 27 1.6k 1.0× 210 0.5× 300 0.7× 193 0.7× 73 0.3× 74 2.2k
Qing Jiang China 31 2.1k 1.4× 811 1.8× 382 0.9× 264 0.9× 88 0.4× 82 3.0k
Alexandre Soulard France 12 1.9k 1.2× 480 1.1× 207 0.5× 280 0.9× 66 0.3× 18 2.4k

Countries citing papers authored by Chang Bai

Since Specialization
Citations

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

Fields of papers citing papers by Chang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Bai. A scholar is included among the top collaborators of Chang 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 Chang Bai. Chang 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
2.
Zhuang, Linghang, Song Huang, Yu Zhou, et al.. (2022). Discovery of novel spiro compound as RAF kinase inhibitor with in vitro potency against KRAS mutant cancer. Bioorganic & Medicinal Chemistry Letters. 63. 128666–128666. 3 indexed citations
3.
Li, Xin, Yang Chen, Bin Wang, et al.. (2022). Discovery of SHR5133, a Highly Potent and Novel HBV Capsid Assembly Modulator. ACS Medicinal Chemistry Letters. 13(3). 507–512. 4 indexed citations
4.
Hu, Qiyue, Shenglan Wang, Wangyang Tu, et al.. (2021). Discovery of Hydroxyamidine Derivatives as Highly Potent, Selective Indoleamine-2,3-dioxygenase 1 Inhibitors. ACS Medicinal Chemistry Letters. 12(2). 195–201. 3 indexed citations
5.
Bai, Chang, Yong Liu, Cong Wang, et al.. (2021). Conversion of aniline contaminant to valuable polyaniline polymers from wastewater under alkaline conditions. Molecular Catalysis. 503. 111430–111430. 29 indexed citations
6.
Li, Xin, Yang Chen, Hong Wan, et al.. (2019). Discovery of SHR1653, a Highly Potent and Selective OTR Antagonist with Improved Blood–Brain Barrier Penetration. ACS Medicinal Chemistry Letters. 10(6). 996–1001. 12 indexed citations
7.
He, Kaijie, Jiahua Jiang, Xin Ye, et al.. (2019). Discovery of A Novel EGFR-Targeting Antibody–Drug Conjugate, SHR-A1307, for the Treatment of Solid Tumors Resistant or Refractory to Anti-EGFR Therapies. Molecular Cancer Therapeutics. 18(6). 1104–1114. 12 indexed citations
8.
Li, Xin, Wei He, Yang Chen, et al.. (2017). Discovery of SHR9352: A Highly Potent G Protein-Biased μ-Opioid Receptor Agonist. ACS Omega. 2(12). 9261–9267. 11 indexed citations
9.
Schmidt, Azriel, Robert Meißner, Michael A. Gentile, et al.. (2014). Identification of an anabolic selective androgen receptor modulator that actively induces death of androgen-independent prostate cancer cells. The Journal of Steroid Biochemistry and Molecular Biology. 143. 29–39. 17 indexed citations
10.
Bungard, Christopher J., George D. Hartman, James J. Perkins, et al.. (2011). Discovery of selective glucocorticoid receptor modulator MK-5932. Bioorganic & Medicinal Chemistry. 19(24). 7374–7386. 16 indexed citations
11.
Patel, Amita, et al.. (2008). A combination of ultrahigh throughput PathHunter and cytokine secretion assays to identify glucocorticoid receptor agonists. Analytical Biochemistry. 385(2). 286–292. 14 indexed citations
12.
Bettoun, David, Su Jane Rutledge, Paul Hodor, et al.. (2005). Interaction between the Androgen Receptor and RNase L Mediates a Cross-talk between the Interferon and Androgen Signaling Pathways. Journal of Biological Chemistry. 280(47). 38898–38901. 26 indexed citations
13.
Tetzlaff, Michael T., Chang Bai, Milton J. Finegold, et al.. (2004). Cyclin F Disruption Compromises Placental Development and Affects Normal Cell Cycle Execution. Molecular and Cellular Biology. 24(6). 2487–2498. 57 indexed citations
14.
Bai, Chang, Azriel Schmidt, & Leonard P. Freedman. (2003). Steroid Hormone Receptors and Drug Discovery: Therapeutic Opportunities and Assay Designs. Assay and Drug Development Technologies. 1(6). 843–852. 21 indexed citations
15.
Chen, Fang, Qing Zhang, Michael J. Davidoff, et al.. (1999). Identification of two hERR2-related novel nuclear receptors utilizing bioinformatics and inverse PCR. Gene. 228(1-2). 101–109. 54 indexed citations
16.
Liu, Qingyun, Zhizhen Zeng, Qing Zhang, et al.. (1999). Identification of Urotensin II as the Endogenous Ligand for the Orphan G-Protein-Coupled Receptor GPR14. Biochemical and Biophysical Research Communications. 266(1). 174–178. 208 indexed citations
17.
Liu, Qingyun, Chang Bai, Fang Chen, et al.. (1998). Uncoupling protein-3: a muscle-specific gene upregulated by leptin in ob/ob mice. Gene. 207(1). 1–7. 84 indexed citations
18.
Bai, Chang, Partha Sen, Kay Hofmann, et al.. (1996). SKP1 Connects Cell Cycle Regulators to the Ubiquitin Proteolysis Machinery through a Novel Motif, the F-Box. Cell. 86(2). 263–274. 1179 indexed citations breakdown →
19.
Bai, Chang & Stephen J. Elledge. (1996). [27] Gene identification using the yeast two-hybrid system. Methods in enzymology on CD-ROM/Methods in enzymology. 273. 331–347. 165 indexed citations
20.
Elledge, Stephen J., Chang Bai, & Michael C. Edwards. (1993). Cloning Mammalian Genes Using cDNA Expression Libraries in Saccharomyces cerevisiae. Methods. 5(2). 96–101. 14 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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