Hao Pan
Impact in
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- Advanced Chemical Physics Studies
- Spectroscopy and Quantum Chemical Studies
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- Machine Learning in Materials Science
- Graphene research and applications
Papers in
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- CRISPR and Genetic Engineering 7
- Genetics 10
- Animal Genetics and Reproduction 7
- Co-authors
- John P. Perdew (6 shared papers)Gábor I. Csonka (5 shared papers)Jianwei Sun (4 shared papers)Adrienn Ruzsinszky (5 shared papers)Bing Xiao (2 shared papers)Martijn Marsman (1 shared paper)Georg Kresse (1 shared paper)Gustavo E. Scuseria (2 shared papers)
- Journals
- Current Issues in Molecular Biology (2 papers)Physical Review B (2 papers)Scientific Reports (2 papers)The Journal of Chemical Physics (1 paper)Journal of Physics Condensed Matter (1 paper)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Hao Pan
25 papers receiving 772 citations
Peers
Comparison fields: 5 of 81
- Atomic and Molecular Physics, and Optics 266
- Materials Chemistry 344
- Catalysis 36
- Condensed Matter Physics 56
- Genetics 127
Countries citing papers authored by Hao Pan
This map shows the geographic impact of Hao Pan'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 Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Pan more than expected).
Fields of papers citing papers by Hao Pan
This network shows the impact of papers produced by Hao Pan. 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 Pan. The network helps show where Hao Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Pan, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 177 | |
| 2 | 2013 | 158 | |
| 3 | 2012 | 73 | |
| 4 | 2012 | 68 | |
| 5 | 2019 | 44 | |
| 6 | 2021 | 34 | |
| 7 | 2022 | 28 | |
| 8 | 2011 | 27 | |
| 9 | 2008 | 27 | |
| 10 | 2024 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2023 | 12 | |
| 13 | 2012 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2015 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2023 | 7 |
About Hao Pan
Hao Pan is a scholar working on Molecular Biology, Genetics, Plant Science, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 27 papers that have together received 775 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (7 papers), CRISPR and Genetic Engineering (7 papers), Advanced Chemical Physics Studies (5 papers), GABA and Rice Research (4 papers), Genetically Modified Organisms Research (3 papers), Probiotics and Fermented Foods (3 papers), Graphene research and applications (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (266 citations), Materials Chemistry (344 citations), Catalysis (36 citations), Condensed Matter Physics (56 citations) and Genetics (127 citations). Hao Pan has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include John P. Perdew, Gábor I. Csonka, Jianwei Sun, Adrienn Ruzsinszky, Bing Xiao, Martijn Marsman, Georg Kresse, Gustavo E. Scuseria, Robin Haunschild and Haixing Li. Their work appears in journals such as Current Issues in Molecular Biology, Physical Review B, Scientific Reports, The Journal of Chemical Physics and Journal of Physics Condensed Matter.
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.