Baishan Jiang

3.0k total citations · 1 hit paper
29 papers, 1.5k citations indexed

About

Baishan Jiang is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Baishan Jiang has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Oncology and 5 papers in Organic Chemistry. Recurrent topics in Baishan Jiang's work include Protein Degradation and Inhibitors (11 papers), Ubiquitin and proteasome pathways (6 papers) and Peptidase Inhibition and Analysis (5 papers). Baishan Jiang is often cited by papers focused on Protein Degradation and Inhibitors (11 papers), Ubiquitin and proteasome pathways (6 papers) and Peptidase Inhibition and Analysis (5 papers). Baishan Jiang collaborates with scholars based in United States, China and Germany. Baishan Jiang's co-authors include Nathanael S. Gray, Tinghu Zhang, Eric S. Fischer, Yanke Liang, Nicholas Kwiatkowski, Katherine A. Donovan, Eric S. Wang, Georg Winter, James E. Bradner and Zainab M. Doctor and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Clinical Investigation.

In The Last Decade

Baishan Jiang

29 papers receiving 1.4k citations

Hit Papers

Pharmacological perturbation of CDK9 using selective CDK9... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baishan Jiang United States 15 1.2k 541 227 170 136 29 1.5k
Georg Winter United States 12 1.8k 1.5× 589 1.1× 300 1.3× 107 0.6× 63 0.5× 20 2.0k
Taavi K. Neklesa United States 18 2.0k 1.7× 784 1.4× 380 1.7× 221 1.3× 141 1.0× 25 2.2k
Hongliang Zong China 20 708 0.6× 259 0.5× 126 0.6× 139 0.8× 69 0.5× 34 1.1k
Berkley E. Gryder United States 21 1.2k 1.0× 545 1.0× 86 0.4× 228 1.3× 198 1.5× 48 1.8k
Daniel P. Bondeson United States 8 1.4k 1.2× 621 1.1× 448 2.0× 62 0.4× 68 0.5× 10 1.6k
Jimmy A. Blair United States 12 1.0k 0.9× 812 1.5× 53 0.2× 253 1.5× 169 1.2× 16 1.7k
Claire Bonfils Canada 12 956 0.8× 287 0.5× 111 0.5× 38 0.2× 93 0.7× 25 1.1k
Kanak Raina United States 14 2.8k 2.4× 996 1.8× 828 3.6× 88 0.5× 166 1.2× 23 3.0k
Hyun Seop Tae United States 15 1.9k 1.6× 765 1.4× 332 1.5× 89 0.5× 220 1.6× 20 2.1k
Caroline B. Ho United States 10 1.6k 1.3× 405 0.7× 65 0.3× 68 0.4× 167 1.2× 15 1.9k

Countries citing papers authored by Baishan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Baishan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baishan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Baishan Jiang. A scholar is included among the top collaborators of Baishan Jiang 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 Baishan Jiang. Baishan Jiang 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.
Gui, Fu, Baishan Jiang, Jie Jiang, et al.. (2025). Acute BRCAness induction and AR pathway blockage through CDK12/7/9 degradation enhances PARP inhibitor sensitivity in prostate cancer. Science Advances. 11(17). eadu0847–eadu0847. 2 indexed citations
2.
Chen, Lu, Lu Huang, Yuanyuan Wu, et al.. (2025). Selective and Potent Molecular Glue Degraders for NIMA‐Related Kinase 7. Angewandte Chemie International Edition. 64(12). e202500169–e202500169. 5 indexed citations
3.
Chen, Lu, Lu Huang, Yuanyuan Wu, et al.. (2025). Selective and Potent Molecular Glue Degraders for NIMA‐Related Kinase 7. Angewandte Chemie. 137(12). 2 indexed citations
4.
Chen, Lü, Xiaozhong Peng, Lixin Zhou, et al.. (2024). Development of Oral, Potent, and Selective CK1α Degraders for AML Therapy. SHILAP Revista de lepidopterología. 4(11). 4423–4434. 4 indexed citations
5.
Zhou, Yaru, Shaowei Wang, Ming Gao, et al.. (2024). Palmitoylation of KSHV pORF55 is required for Golgi localization and efficient progeny virion production. PLoS Pathogens. 20(4). e1012141–e1012141. 7 indexed citations
6.
Gao, Xueliang, Yongxia Wu, Joel M. Chick, et al.. (2023). Targeting protein tyrosine phosphatases for CDK6-induced immunotherapy resistance. Cell Reports. 42(4). 112314–112314. 6 indexed citations
7.
Doctor, Zainab M., Annan Yang, Mingfeng Hao, et al.. (2023). Development and Characterization of Selective FAK Inhibitors and PROTACs with In Vivo Activity. ChemBioChem. 24(19). e202300141–e202300141. 8 indexed citations
8.
Jiang, Baishan, David M. Weinstock, Katherine A. Donovan, et al.. (2023). ITK degradation to block T cell receptor signaling and overcome therapeutic resistance in T cell lymphomas. Cell chemical biology. 30(4). 383–393.e6. 8 indexed citations
9.
Kumarasamy, Vishnu, Baishan Jiang, Seth M. Rubin, et al.. (2023). PROTAC-mediated CDK degradation differentially impacts cancer cell cycles due to heterogeneity in kinase dependencies. British Journal of Cancer. 129(8). 1238–1250. 11 indexed citations
10.
Jiang, Baishan, Yang Gao, Jianwei Che, et al.. (2021). Discovery and resistance mechanism of a selective CDK12 degrader. Nature Chemical Biology. 17(6). 675–683. 96 indexed citations
11.
Jiang, Baishan, Jie Jiang, Ines H. Kaltheuner, et al.. (2021). Structure-activity relationship study of THZ531 derivatives enables the discovery of BSJ-01-175 as a dual CDK12/13 covalent inhibitor with efficacy in Ewing sarcoma. European Journal of Medicinal Chemistry. 221. 113481–113481. 41 indexed citations
12.
Gao, Xueliang, Yongxia Wu, Chen Chu, et al.. (2021). Nuclear PFKP promotes CXCR4-dependent infiltration by T cell acute lymphoblastic leukemia. Journal of Clinical Investigation. 131(16). 28 indexed citations
13.
Jiang, Jie, Baishan Jiang, Zhixiang He, et al.. (2020). Discovery of Covalent MKK4/7 Dual Inhibitor. Cell chemical biology. 27(12). 1553–1560.e8. 14 indexed citations
14.
Sun, Ning, Dou Wang, Xiaomei Li, et al.. (2019). <p>pH-dependent and cathepsin B activable CaCO<sub>3</sub> nanoprobe for targeted in vivo tumor imaging</p>. International Journal of Nanomedicine. Volume 14. 4309–4317. 9 indexed citations
15.
Brand, Matthias, Baishan Jiang, Sophie Bauer, et al.. (2018). Homolog-Selective Degradation as a Strategy to Probe the Function of CDK6 in AML. Cell chemical biology. 26(2). 300–306.e9. 195 indexed citations
16.
Browne, Christopher M., Baishan Jiang, Scott B. Ficarro, et al.. (2018). A Chemoproteomic Strategy for Direct and Proteome-Wide Covalent Inhibitor Target-Site Identification. Journal of the American Chemical Society. 141(1). 191–203. 56 indexed citations
17.
Jiang, Baishan, Michael A. Erb, Yanke Liang, et al.. (2017). Pharmacological perturbation of CDK9 using selective CDK9 inhibition or degradation. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
18.
Jiang, Baishan, Michael A. Erb, Yanke Liang, et al.. (2017). Pharmacological perturbation of CDK9 using selective CDK9 inhibition or degradation. Nature Chemical Biology. 14(2). 163–170. 402 indexed citations breakdown →
19.
Johannessen, Liv, Thomas B. Sundberg, Daniel J. O’Connell, et al.. (2017). Small-molecule studies identify CDK8 as a regulator of IL-10 in myeloid cells. Nature Chemical Biology. 13(10). 1102–1108. 46 indexed citations
20.
Fang, Zhiyuan, et al.. (2013). ELISA detection of semicarbazide based on a fast sample pretreatment method. Chemical Communications. 49(55). 6164–6164. 25 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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