Hao Zhu
- Computational Theory and Mathematics top 0.05%
- Molecular Biology top 5%
- Materials Chemistry top 5%
- Biomedical Engineering top 5%
- Organic Chemistry top 5%
- Co-authors
- Alexander TropshaAlexander SedykhHeather L. CiallellaLu ZhangDan HanJianjun TanGilles KlopmanDaniel P. Russo
- Topics
- Computational Drug Discovery Methods (66 papers)Animal testing and alternatives (16 papers)Metabolomics and Mass Spectrometry Studies (13 papers)
- Journals
- Chemical ReviewsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Hao Zhu
137 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Computational Theory and Mathematics 3.0k
- Molecular Biology 2.0k
- Materials Chemistry 1.2k
- Biomedical Engineering 536
- Organic Chemistry 527
Countries citing papers authored by Hao Zhu
This map shows the geographic impact of Hao Zhu'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 Hao Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Zhu more than expected).
Fields of papers citing papers by Hao Zhu
This network shows the impact of papers produced by Hao Zhu. 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 Hao Zhu. The network helps show where Hao Zhu may publish in the future.
Co-authorship network of co-authors of Hao Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Zhu. A scholar is included among the top collaborators of Hao Zhu 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 Hao Zhu. Hao Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 48 | |
| 8 | 16 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | From machine learning to deep learning: progress in machine intelligence for rational drug discoverybreakdown → | 499 |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 32 | |
| 18 | 44 | |
| 19 | 30 | |
| 20 | 82 |
About Hao Zhu
Hao Zhu is a scholar working on Computational Theory and Mathematics, Small Animals and Chemical Health and Safety, having authored 145 papers that have together received 6.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (66 papers), Animal testing and alternatives (16 papers) and Metabolomics and Mass Spectrometry Studies (13 papers). The work is most often cited by research in Computational Theory and Mathematics (3.0k citations), Pharmacology (462 citations) and Small Animals (341 citations). Hao Zhu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Alexander Tropsha, Alexander Sedykh, Heather L. Ciallella, Lu Zhang, Dan Han, Jianjun Tan, Gilles Klopman, Daniel P. Russo, Bing Yan and Denis Fourches. Their work appears in journals such as Chemical Reviews, Nature Communications and SHILAP Revista de lepidopterología.
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.