Jianwei Che

8.1k total citations · 1 hit paper
84 papers, 3.7k citations indexed

About

Jianwei Che is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Oncology. According to data from OpenAlex, Jianwei Che has authored 84 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 19 papers in Atomic and Molecular Physics, and Optics and 19 papers in Oncology. Recurrent topics in Jianwei Che's work include Protein Degradation and Inhibitors (20 papers), Spectroscopy and Quantum Chemical Studies (13 papers) and Peptidase Inhibition and Analysis (13 papers). Jianwei Che is often cited by papers focused on Protein Degradation and Inhibitors (20 papers), Spectroscopy and Quantum Chemical Studies (13 papers) and Peptidase Inhibition and Analysis (13 papers). Jianwei Che collaborates with scholars based in United States, China and Germany. Jianwei Che's co-authors include Tahir Çağın, William A. Goddard, Wei Deng, Kent R. Wilson, Nathanael S. Gray, Michael Messina, J. Andrew McCammon, Bo Li, YiJing Yan and Jeffrey L. Krause and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Angewandte Chemie International Edition.

In The Last Decade

Jianwei Che

82 papers receiving 3.6k citations

Hit Papers

Thermal conductivity of carbon nanotubes 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianwei Che United States 30 1.3k 1.1k 790 469 380 84 3.7k
G. Wolf Germany 32 2.3k 1.7× 1.1k 0.9× 314 0.4× 515 1.1× 202 0.5× 134 4.6k
V. A. Kuz’min Russia 25 924 0.7× 712 0.6× 430 0.5× 903 1.9× 93 0.2× 359 2.8k
In Suk Joung United States 6 603 0.4× 2.0k 1.8× 798 1.0× 211 0.4× 102 0.3× 6 3.5k
B. Gallois France 35 1.5k 1.1× 998 0.9× 328 0.4× 225 0.5× 179 0.5× 134 4.0k
Hiromi Okamoto Japan 38 908 0.7× 687 0.6× 1.3k 1.7× 360 0.8× 740 1.9× 141 4.8k
Rex P. Hjelm United States 27 961 0.7× 582 0.5× 193 0.2× 528 1.1× 108 0.3× 85 2.6k
Mitsuru Uesaka Japan 28 405 0.3× 970 0.9× 733 0.9× 212 0.5× 290 0.8× 245 4.6k
Shengli Zhang China 26 897 0.7× 769 0.7× 385 0.5× 77 0.2× 122 0.3× 189 2.6k
Tatsuya Yamaguchi Japan 30 848 0.6× 1.4k 1.2× 180 0.2× 758 1.6× 684 1.8× 169 4.1k
Fumihiko Tanaka Japan 41 1.4k 1.0× 710 0.6× 371 0.5× 2.8k 6.0× 172 0.5× 190 5.9k

Countries citing papers authored by Jianwei Che

Since Specialization
Citations

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

Fields of papers citing papers by Jianwei Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianwei Che

This figure shows the co-authorship network connecting the top 25 collaborators of Jianwei Che. A scholar is included among the top collaborators of Jianwei Che 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 Jianwei Che. Jianwei Che 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.
Baek, Kheewoong, Shourya S. Roy Burman, Jonathan W. Bushman, et al.. (2025). Unveiling the hidden interactome of CRBN molecular glues. Nature Communications. 16(1). 6831–6831. 11 indexed citations
2.
Liu, Han‐Yuan, Zhixiang He, Inchul You, et al.. (2024). Discovery of Potent Degraders of the Dengue Virus Envelope Protein. Advanced Science. 11(40). e2405829–e2405829. 4 indexed citations
3.
Li, Zhengnian, Jie Jiang, Scott B. Ficarro, et al.. (2024). Molecular Bidents with Two Electrophilic Warheads as a New Pharmacological Modality. ACS Central Science. 10(6). 1156–1166. 5 indexed citations
4.
Li, Zhengnian, Wenchao Lu, Tyler S. Beyett, et al.. (2024). ZNL0325, a Pyrazolopyrimidine-Based Covalent Probe, Demonstrates an Alternative Binding Mode for Kinases. Journal of Medicinal Chemistry. 67(4). 2837–2848. 2 indexed citations
5.
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
7.
Feng, Xin, et al.. (2023). Diet modulates host health through gut microbiota derived extracellular vesicles: A short review. SHILAP Revista de lepidopterología. 8(2). 58–61. 1 indexed citations
8.
Nowak, Radosław P., et al.. (2023). Structural rationalization of GSPT1 and IKZF1 degradation by thalidomide molecular glue derivatives. RSC Medicinal Chemistry. 14(3). 501–506. 27 indexed citations
9.
Sun, Yang, Lu Hu, Zhipeng Tao, et al.. (2022). Pharmacological blockade of TEAD–YAP reveals its therapeutic limitation in cancer cells. Nature Communications. 13(1). 6744–6744. 70 indexed citations
10.
Chou, David B., Christos Kyprianou, Lucy R. O’Sullivan, et al.. (2022). Differential ABC transporter expression during hematopoiesis contributes to neutrophil-biased toxicity of Aurora kinase inhibitors. Nature Communications. 13(1). 6021–6021. 4 indexed citations
11.
Du, Guangyan, Jie Jiang, Nathaniel J. Henning, et al.. (2022). Exploring the target scope of KEAP1 E3 ligase-based PROTACs. Cell chemical biology. 29(10). 1470–1481.e31. 51 indexed citations
12.
Lu, Wenchao, Milka Kostić, Tinghu Zhang, et al.. (2021). Fragment-based covalent ligand discovery. RSC Chemical Biology. 2(2). 354–367. 80 indexed citations
13.
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
14.
Groendyke, Brian J., Behnam Nabet, Haisheng Zhang, et al.. (2020). Discovery of a Pyrimidothiazolodiazepinone as a Potent and Selective Focal Adhesion Kinase (FAK) Inhibitor. ACS Medicinal Chemistry Letters. 12(1). 30–38. 14 indexed citations
15.
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
16.
Marcus, David, et al.. (2019). Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling. Scientific Reports. 9(1). 1106–1106. 26 indexed citations
17.
Thoma, Gebhard, Joachim Blanz, Peter Bühlmayer, et al.. (2014). Syk inhibitors with high potency in presence of blood. Bioorganic & Medicinal Chemistry Letters. 24(10). 2278–2282. 17 indexed citations
18.
Chiang, Chih-Yuan, Douglas Lane, Tara Kenny, et al.. (2014). Alveolar Macrophages Infected with Ames or Sterne Strain of Bacillus anthracis Elicit Differential Molecular Expression Patterns. PLoS ONE. 9(2). e87201–e87201. 2 indexed citations
19.
Zhang, Guobao, Pingda Ren, Nathanael S. Gray, et al.. (2009). Discovery of pyrimidine benzimidazoles as Src-family selective Lck inhibitors. Part II. Bioorganic & Medicinal Chemistry Letters. 19(23). 6691–6695. 5 indexed citations
20.
Wang, Zhicheng, Wendy Richmond, Tao Jiang, et al.. (2006). Design and synthesis of 7H-pyrrolo[2,3-d]pyrimidines as focal adhesion kinase inhibitors. Part 2. Bioorganic & Medicinal Chemistry Letters. 16(10). 2689–2692. 47 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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