Péter Hári
Impact in
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- Computational Drug Discovery Methods
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- Drug Transport and Resistance Mechanisms
Papers in
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- Machine Learning in Bioinformatics 2
- Chemical Synthesis and Analysis 2
- Peroxisome Proliferator-Activated Receptors 1
- Protein purification and stability 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Zsolt Bikádi (5 shared papers)Eszter Hazai (5 shared papers)Attila Bérces (1 shared paper)Ferenc Zsila (1 shared paper)András Málnási‐Csizmadia (7 shared papers)I. Hazai (4 shared papers)Zhenhui Yang (2 shared papers)Zhanglin Ni (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Bioinformatics (1 paper)Drug Design Development and Therapy (1 paper)Chromatographia (1 paper)Journal of Molecular Modeling (1 paper)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Péter Hári
16 papers receiving 423 citations
Peers
Comparison fields: 5 of 79
- Computational Theory and Mathematics 128
- Oncology 113
- Pharmacology 32
- Aging 6
- Molecular Biology 228
Countries citing papers authored by Péter Hári
This map shows the geographic impact of Péter Hári'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 Péter Hári with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Hári more than expected).
Fields of papers citing papers by Péter Hári
This network shows the impact of papers produced by Péter Hári. 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 Péter Hári. The network helps show where Péter Hári may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Hári, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 125 | |
| 2 | 2011 | 94 | |
| 3 | 2012 | 60 | |
| 4 | 2011 | 52 | |
| 5 | 2010 | 17 | |
| 6 | 2012 | 14 | |
| 7 | 2012 | 14 | |
| 8 | 2010 | 14 | |
| 9 | 2009 | 13 | |
| 10 | 2010 | 12 | |
| 11 | 2013 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2010 | 1 |
About Péter Hári
Péter Hári is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Cardiology and Cardiovascular Medicine and Oncology, having authored 16 papers that have together received 436 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Analytical Chemistry and Chromatography (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Machine Learning in Bioinformatics (2 papers), Chemical Synthesis and Analysis (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Computational Theory and Mathematics (128 citations), Oncology (113 citations), Pharmacology (32 citations), Aging (6 citations) and Molecular Biology (228 citations). Péter Hári has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Zsolt Bikádi, Eszter Hazai, Attila Bérces, Ferenc Zsila, András Málnási‐Csizmadia, I. Hazai, Zhenhui Yang, Zhanglin Ni, Qingcheng Mao and Tip W. Loo. Their work appears in journals such as Journal of Chemical Information and Modeling, Bioinformatics, Drug Design Development and Therapy, Chromatographia and Journal of Molecular Modeling.
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.