Pál Perjési
Impact in
- Toxicology top 1%
- Bioactive Compounds and Antitumor Agents
- Organic Chemistry top 2%
- Synthesis and biological activity
- Synthesis and Biological Evaluation
- Free Radicals and Antioxidants
Papers in
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- Synthesis and biological activity 46
- Free Radicals and Antioxidants 17
- Synthesis and Biological Evaluation 16
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- Genomics, phytochemicals, and oxidative stress 15
- Co-authors
- Zsuzsanna Rozmer (16 shared papers)László Prókai (9 shared papers)Katalin Prókai-Tátrai (7 shared papers)Janka Vašková (5 shared papers)Ladislav Vaško (4 shared papers)James W. Simpkins (4 shared papers)Ladislav Kočan (1 shared paper)Alevtina D. Zharikova (6 shared papers)
In The Last Decade
Pál Perjési
128 papers receiving 2.3k citations
Pál Perjési's Hit Papers
Peers
Comparison fields: 5 of 120
- Toxicology 144
- Organic Chemistry 1.0k
- Pharmacology 355
- Biochemistry 125
- Pharmacology 148
Countries citing papers authored by Pál Perjési
This map shows the geographic impact of Pál Perjési'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 Pál Perjési with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pál Perjési more than expected).
Fields of papers citing papers by Pál Perjési
This network shows the impact of papers produced by Pál Perjési. 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 Pál Perjési. The network helps show where Pál Perjési may publish in the future.
Co-authors
The 25 scholars most cited alongside Pál Perjési, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 314 | |
| 2 | Glutathione-Related Enzymes and Proteins: A Review Hit paper breakdown → | 2023 | 210 |
| 3 | 2003 | 151 | |
| 4 | 1999 | 109 | |
| 5 | 2002 | 85 | |
| 6 | 2010 | 66 | |
| 7 | 2008 | 65 | |
| 8 | 2005 | 63 | |
| 9 | 2007 | 57 | |
| 10 | 2006 | 50 | |
| 11 | 2012 | 39 | |
| 12 | 2006 | 37 | |
| 13 | 1999 | 34 | |
| 14 | 2002 | 33 | |
| 15 | 2016 | 31 | |
| 16 | 2009 | 30 | |
| 17 | 2014 | 29 | |
| 18 | 2005 | 29 | |
| 19 | 2009 | 28 | |
| 20 | 2009 | 28 |
About Pál Perjési
Pál Perjési is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Oncology and Pharmacology, having authored 134 papers that have together received 2.4k indexed citations. Recurring topics across this work include Synthesis and biological activity (46 papers), Synthesis of Organic Compounds (23 papers), Free Radicals and Antioxidants (17 papers), Synthesis and Biological Evaluation (16 papers), Genomics, phytochemicals, and oxidative stress (15 papers), Bioactive Compounds and Antitumor Agents (10 papers), Drug Transport and Resistance Mechanisms (8 papers) and Toxin Mechanisms and Immunotoxins (8 papers). The work is most often cited by research in Toxicology (144 citations), Organic Chemistry (1.0k citations), Pharmacology (355 citations), Biochemistry (125 citations) and Pharmacology (148 citations). Pál Perjési has collaborated with scholars based in Hungary, Slovakia and Brazil. Frequent co-authors include Zsuzsanna Rozmer, László Prókai, Katalin Prókai-Tátrai, Janka Vašková, Ladislav Vaško, James W. Simpkins, Ladislav Kočan, Alevtina D. Zharikova, Mónika Kuzma and E Fischer. Their work appears in journals such as Molecules, Journal of Medicinal Chemistry, Toxicology in Vitro, European Journal of Pharmaceutical Sciences 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.