Shaomeng Wang
Impact in
- Molecular Biology top 0.05%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Cell death mechanisms and regulation
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Computational Theory and Mathematics top 0.02%
- Computational Drug Discovery Methods
Papers in
-
- Ubiquitin and proteasome pathways 83
- Protein Degradation and Inhibitors 78
- Cell death mechanisms and regulation 75
- Protein Structure and Dynamics 30
- Oncology 124
- Cancer-related Molecular Pathways 57
- Peptidase Inhibition and Analysis 30
- Co-authors
- Renxiao Wang (19 shared papers)Chao‐Yie Yang (77 shared papers)Yipin Lu (14 shared papers)Sanjeev Shangary (13 shared papers)Xueliang Fang (16 shared papers)Zaneta Nikolovska‐Coleska (46 shared papers)Jeanne A. Stuckey (50 shared papers)Longchuan Bai (44 shared papers)
- Journals
- Journal of Medicinal Chemistry (117 papers)Cancer Research (25 papers)Bioorganic & Medicinal Chemistry Letters (23 papers)Molecular Cancer Therapeutics (13 papers)Journal of the American Chemical Society (13 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Shaomeng Wang
449 papers receiving 29.0k citations
Shaomeng Wang's Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 20.0k
- Computational Theory and Mathematics 4.5k
- Oncology 6.6k
- Toxicology 706
- Organic Chemistry 5.4k
Countries citing papers authored by Shaomeng Wang
This map shows the geographic impact of Shaomeng Wang'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 Shaomeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaomeng Wang more than expected).
Fields of papers citing papers by Shaomeng Wang
This network shows the impact of papers produced by Shaomeng Wang. 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 Shaomeng Wang. The network helps show where Shaomeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaomeng Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 458 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Further development and validation of empirical scoring functions for structure-based binding affinity prediction Hit paper breakdown → | 2002 | 964 |
| 2 | The PDBbind Database: Collection of Binding Affinities for Protein−Ligand Complexes with Known Three-Dimensional Structures Hit paper breakdown → | 2004 | 810 |
| 3 | Therapeutic targeting of BET bromodomain proteins in castration-resistant prostate cancer Hit paper breakdown → | 2014 | 743 |
| 4 | Comparative Evaluation of 11 Scoring Functions for Molecular Docking Hit paper breakdown → | 2003 | 710 |
| 5 | The PDBbind Database: Methodologies and Updates Hit paper breakdown → | 2005 | 651 |
| 6 | Structure-Based Design of Spiro-oxindoles as Potent, Specific Small-Molecule Inhibitors of the MDM2−p53 Interaction Hit paper breakdown → | 2006 | 607 |
| 7 | Structure-Based Design of Potent Non-Peptide MDM2 Inhibitors Hit paper breakdown → | 2005 | 571 |
| 8 | Small-Molecule Inhibitors of the MDM2-p53 Protein-Protein Interaction to Reactivate p53 Function: A Novel Approach for Cancer Therapy Hit paper breakdown → | 2008 | 504 |
| 9 | A Potent and Selective Small-Molecule Degrader of STAT3 Achieves Complete Tumor Regression In Vivo Hit paper breakdown → | 2019 | 458 |
| 10 | 2004 | 452 | |
| 11 | 2005 | 422 | |
| 12 | 2014 | 373 | |
| 13 | 2019 | 310 | |
| 14 | 2017 | 288 | |
| 15 | 2004 | 286 | |
| 16 | 2008 | 271 | |
| 17 | 1997 | 253 | |
| 18 | 2018 | 246 | |
| 19 | 2001 | 244 | |
| 20 | 2001 | 243 |
About Shaomeng Wang
Shaomeng Wang is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Computational Theory and Mathematics and Hematology, having authored 458 papers that have together received 29.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (83 papers), Protein Degradation and Inhibitors (78 papers), Cell death mechanisms and regulation (75 papers), Cancer-related Molecular Pathways (57 papers), Computational Drug Discovery Methods (37 papers), Peptidase Inhibition and Analysis (30 papers), Protein Structure and Dynamics (30 papers) and Multiple Myeloma Research and Treatments (25 papers). The work is most often cited by research in Molecular Biology (20.0k citations), Computational Theory and Mathematics (4.5k citations), Oncology (6.6k citations), Toxicology (706 citations) and Organic Chemistry (5.4k citations). Shaomeng Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Renxiao Wang, Chao‐Yie Yang, Yipin Lu, Sanjeev Shangary, Xueliang Fang, Zaneta Nikolovska‐Coleska, Jeanne A. Stuckey, Longchuan Bai, Luhua Lai and Denzil Bernard. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Research, Bioorganic & Medicinal Chemistry Letters, Molecular Cancer Therapeutics and Journal of the American Chemical Society.
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.