Jinping Pang

616 total citations
20 papers, 460 citations indexed

About

Jinping Pang is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jinping Pang has authored 20 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Genetics and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jinping Pang's work include Estrogen and related hormone effects (13 papers), Prostate Cancer Treatment and Research (7 papers) and Computational Drug Discovery Methods (6 papers). Jinping Pang is often cited by papers focused on Estrogen and related hormone effects (13 papers), Prostate Cancer Treatment and Research (7 papers) and Computational Drug Discovery Methods (6 papers). Jinping Pang collaborates with scholars based in China and Macao. Jinping Pang's co-authors include Tingjun Hou, Dan Li, Xin Chai, Lei Xu, Chao Shen, Dongsheng Cao, Wenfang Zhou, Qin Tang, Xueping Hu and Weitao Fu and has published in prestigious journals such as Nucleic Acids Research, Journal of Medicinal Chemistry and Advanced Science.

In The Last Decade

Jinping Pang

20 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinping Pang China 14 275 192 108 85 60 20 460
Clémentine Féau United States 9 235 0.9× 43 0.2× 122 1.1× 152 1.8× 38 0.6× 13 469
Friederike Stoll Germany 9 274 1.0× 130 0.7× 25 0.2× 39 0.5× 44 0.7× 20 531
Lisa Wissler Sweden 13 321 1.2× 82 0.4× 99 0.9× 19 0.2× 17 0.3× 18 565
A.A. Parent United States 7 213 0.8× 64 0.3× 150 1.4× 47 0.6× 12 0.2× 9 408
Sudhakar Jakkaraj United States 7 208 0.8× 77 0.4× 21 0.2× 44 0.5× 40 0.7× 13 396
Matti Lepistö Sweden 11 201 0.7× 44 0.2× 74 0.7× 24 0.3× 16 0.3× 16 378
Bryan D. Marks United States 13 244 0.9× 60 0.3× 52 0.5× 29 0.3× 10 0.2× 17 442
Zhengping Ma United States 14 361 1.3× 46 0.2× 50 0.5× 16 0.2× 26 0.4× 24 627
Ellena Mar United States 4 278 1.0× 69 0.4× 274 2.5× 161 1.9× 15 0.3× 4 510
Craig Marhefka United States 9 257 0.9× 41 0.2× 190 1.8× 145 1.7× 13 0.2× 10 598

Countries citing papers authored by Jinping Pang

Since Specialization
Citations

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

Fields of papers citing papers by Jinping Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinping Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinping Pang. A scholar is included among the top collaborators of Jinping Pang 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 Jinping Pang. Jinping Pang 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.
2.
Chai, Xin, Xueping Hu, Xinyue Wang, et al.. (2023). Computationally guided discovery of novel non-steroidal AR-GR dual antagonists demonstrating potency against antiandrogen resistance. Acta Pharmacologica Sinica. 44(7). 1500–1518. 8 indexed citations
3.
Hu, Xueping, Jinping Pang, Changwei Chen, et al.. (2022). Discovery of novel non-steroidal selective glucocorticoid receptor modulators by structure- and IGN-based virtual screening, structural optimization, and biological evaluation. European Journal of Medicinal Chemistry. 237. 114382–114382. 20 indexed citations
4.
Yu, Jie, Jinping Pang, Zhe Wang, et al.. (2022). Discovery of novel non-nucleoside inhibitors with high potency and selectivity for DNA methyltransferase 3A. European Journal of Medicinal Chemistry. 242. 114646–114646. 8 indexed citations
5.
Pang, Jinping, Xueping Hu, Yunxia Wang, et al.. (2022). Discovery of a novel nonsteroidal selective glucocorticoid receptor modulator by virtual screening and bioassays. Acta Pharmacologica Sinica. 43(9). 2429–2438. 19 indexed citations
6.
Li, Dan, Xiaodong Bao, Jinping Pang, et al.. (2022). Discovery and Optimization of N-Acyl-6-sulfonamide-tetrahydroquinoline Derivatives as Novel Non-Steroidal Selective Glucocorticoid Receptor Modulators. Journal of Medicinal Chemistry. 65(23). 15710–15724. 7 indexed citations
7.
Chai, Xin, Huiyong Sun, Wenfang Zhou, et al.. (2022). Discovery of N-(4-(Benzyloxy)-phenyl)-sulfonamide Derivatives as Novel Antagonists of the Human Androgen Receptor Targeting the Activation Function 2. Journal of Medicinal Chemistry. 65(3). 2507–2521. 19 indexed citations
8.
Hu, Xueping, Xin Chai, Qing Ye, et al.. (2021). Opportunities for overcoming tuberculosis: Emerging targets and their inhibitors. Drug Discovery Today. 27(1). 326–336. 16 indexed citations
9.
10.
Zhou, Rui, Jinping Pang, Yue Guo, et al.. (2021). Molecular View on the Dissociation Pathways and Transactivation Regulation Mechanism of Nonsteroidal GR Ligands. Journal of Chemical Information and Modeling. 62(21). 5233–5245. 7 indexed citations
11.
Hu, Xueping, Jinping Pang, Jintu Zhang, et al.. (2021). Discovery of Novel GR Ligands toward Druggable GR Antagonist Conformations Identified by MD Simulations and Markov State Model Analysis. Advanced Science. 9(3). e2102435–e2102435. 35 indexed citations
12.
Pang, Jinping, Chao Shen, Wenfang Zhou, et al.. (2021). Discovery of novel antagonists targeting the DNA binding domain of androgen receptor by integrated docking-based virtual screening and bioassays. Acta Pharmacologica Sinica. 43(1). 229–239. 13 indexed citations
13.
Wang, Mingyang, Huiyong Sun, Jike Wang, et al.. (2021). Comprehensive assessment of deep generative architectures for de novo drug design. Briefings in Bioinformatics. 23(1). 12 indexed citations
14.
Shen, Chao, Gaoqi Weng, Xujun Zhang, et al.. (2021). Accuracy or novelty: what can we gain from target-specific machine-learning-based scoring functions in virtual screening?. Briefings in Bioinformatics. 22(5). 33 indexed citations
15.
Hu, Xueping, Xin Chai, Xuwen Wang, et al.. (2020). Advances in the computational development of androgen receptor antagonists. Drug Discovery Today. 25(8). 1453–1461. 21 indexed citations
16.
Tang, Qin, Weitao Fu, Ercheng Wang, et al.. (2020). Novel androgen receptor antagonist identified by structure-based virtual screening, structural optimization, and biological evaluation. European Journal of Medicinal Chemistry. 192. 112156–112156. 18 indexed citations
17.
Du, Hongyan, Junbo Gao, Gaoqi Weng, et al.. (2020). CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors. Nucleic Acids Research. 49(D1). D1122–D1129. 53 indexed citations
18.
Shen, Chao, Ye Hu, Zhe Wang, et al.. (2020). Beware of the generic machine learning-based scoring functions in structure-based virtual screening. Briefings in Bioinformatics. 22(3). 57 indexed citations
19.
Zhou, Wenfang, Mojie Duan, Weitao Fu, et al.. (2018). Discovery of Novel Androgen Receptor Ligands by Structure-Based Virtual Screening and Bioassays. Genomics Proteomics & Bioinformatics. 16(6). 416–427. 39 indexed citations
20.
Li, Dan, Wenfang Zhou, Jinping Pang, et al.. (2018). A magic drug target: Androgen receptor. Medicinal Research Reviews. 39(5). 1485–1514. 59 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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