Jike Wang
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Materials Chemistry top 10%
- Machine Learning in Materials Science
Papers in
-
- Protein Structure and Dynamics 20
- Chemical Synthesis and Analysis 5
- Bioinformatics and Genomic Networks 4
- RNA and protein synthesis mechanisms 3
- vaccines and immunoinformatics approaches 3
-
- Computational Drug Discovery Methods 33
- Co-authors
- Tingjun Hou (46 shared papers)Chang‐Yu Hsieh (32 shared papers)Dongsheng Cao (18 shared papers)Dejun Jiang (20 shared papers)Yu Kang (23 shared papers)Zhenhua Wu (11 shared papers)Mingyang Wang (9 shared papers)Hongyan Du (10 shared papers)
- Journals
- Journal of Medicinal Chemistry (7 papers)Chemical Science (7 papers)Briefings in Bioinformatics (6 papers)Journal of Chemical Information and Modeling (6 papers)Nature Communications (5 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Jike Wang
51 papers receiving 1.3k citations
Jike Wang's Hit Papers
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 766
- Materials Chemistry 469
- Molecular Biology 653
- Biophysics 32
- Pharmacology 76
Countries citing papers authored by Jike Wang
This map shows the geographic impact of Jike 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 Jike Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jike Wang more than expected).
Fields of papers citing papers by Jike Wang
This network shows the impact of papers produced by Jike 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 Jike Wang. The network helps show where Jike Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jike 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 158 | |
| 2 | 2021 | 134 | |
| 3 | 2023 | 106 | |
| 4 | 2021 | 89 | |
| 5 | 2021 | 76 | |
| 6 | 2022 | 67 | |
| 7 | 2022 | 67 | |
| 8 | 2022 | 45 | |
| 9 | AI‐Guided Design of Antimicrobial Peptide Hydrogels for Precise Treatment of Drug‐resistant Bacterial Infections Hit paper breakdown → | 2025 | 40 |
| 10 | Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model Hit paper breakdown → | 2025 | 40 |
| 11 | 2020 | 30 | |
| 12 | 2024 | 26 | |
| 13 | 2024 | 26 | |
| 14 | 2023 | 25 | |
| 15 | 2022 | 22 | |
| 16 | 2017 | 22 | |
| 17 | 2024 | 21 | |
| 18 | 2023 | 21 | |
| 19 | 2023 | 19 | |
| 20 | 2023 | 19 |
About Jike Wang
Jike Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (33 papers), Machine Learning in Materials Science (23 papers), Protein Structure and Dynamics (20 papers), Chemical Synthesis and Analysis (5 papers), Bioinformatics and Genomic Networks (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), RNA and protein synthesis mechanisms (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Computational Theory and Mathematics (766 citations), Materials Chemistry (469 citations), Molecular Biology (653 citations), Biophysics (32 citations) and Pharmacology (76 citations). Jike Wang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Tingjun Hou, Chang‐Yu Hsieh, Dongsheng Cao, Dejun Jiang, Yu Kang, Zhenhua Wu, Mingyang Wang, Hongyan Du, Chao Shen and Xujun Zhang. Their work appears in journals such as Journal of Medicinal Chemistry, Chemical Science, Briefings in Bioinformatics, Journal of Chemical Information and Modeling and Nature Communications.
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.