Huiping Zhao
- Molecular Biology top 10%
- Computational Theory and Mathematics top 2%
- Organic Chemistry top 10%
- Oncology
- Genetics
- Co-authors
- Brian S. J. BlaggBhaskar Reddy KusumaDebra A. TonettiRick T. DobrowskyGeorge VielhauerGaurav GargElisabetta MoroniGiorgio Colombo
- Topics
- Heat shock proteins research (27 papers)Computational Drug Discovery Methods (14 papers)Estrogen and related hormone effects (7 papers)
- Journals
- Cancer ResearchJournal of Medicinal ChemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesChinaItaly
In The Last Decade
Huiping Zhao
55 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 968
- Computational Theory and Mathematics 313
- Organic Chemistry 277
- Oncology 175
- Genetics 163
Countries citing papers authored by Huiping Zhao
This map shows the geographic impact of Huiping Zhao'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 Huiping Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiping Zhao more than expected).
Fields of papers citing papers by Huiping Zhao
This network shows the impact of papers produced by Huiping Zhao. 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 Huiping Zhao. The network helps show where Huiping Zhao may publish in the future.
Co-authorship network of co-authors of Huiping Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Huiping Zhao. A scholar is included among the top collaborators of Huiping Zhao 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 Huiping Zhao. Huiping Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 10 | |
| 7 | 14 | |
| 8 | 21 | |
| 9 | 16 | |
| 10 | 11 | |
| 11 | 40 | |
| 12 | 12 | |
| 13 | 63 | |
| 14 | 41 | |
| 15 | 23 | |
| 16 | 53 | |
| 17 | 23 | |
| 18 | Effects of salt stress on seed germination and emergence of different oat varieties. | 1 |
| 19 | 20 | |
| 20 | Antitumor triptycene analogs directly interact with isolated mitochondria to rapidly trigger markers of permeability transition. | 13 |
About Huiping Zhao
Huiping Zhao is a scholar working on Microbiology, Computational Theory and Mathematics and Toxicology, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heat shock proteins research (27 papers), Computational Drug Discovery Methods (14 papers) and Estrogen and related hormone effects (7 papers). The work is most often cited by research in Toxicology (86 citations), Computational Theory and Mathematics (313 citations) and Molecular Biology (968 citations). Huiping Zhao has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Brian S. J. Blagg, Bhaskar Reddy Kusuma, Debra A. Tonetti, Rick T. Dobrowsky, George Vielhauer, Gaurav Garg, Elisabetta Moroni, Giorgio Colombo, Jeffrey M. Holzbeierlein and Mark S. Cohen. Their work appears in journals such as Cancer Research, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.
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.