J Pachecka
Impact in
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- Tryptophan and brain disorders
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Fungal and yeast genetics research 3
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- Eicosanoids and Hypertension Pharmacology 4
- Co-authors
- Barbara Lisowska‐Myjak (9 shared papers)G. Belvedere (5 shared papers)Mario Salmona (5 shared papers)E. Mussini (5 shared papers)L Cantoni (5 shared papers)Grażyna Kubiak-Tomaszewska (5 shared papers)Stanisław Radowicki (2 shared papers)Piotr Suchocki (2 shared papers)
In The Last Decade
J Pachecka
54 papers receiving 536 citations
Peers
Comparison fields: 5 of 98
- Biological Psychiatry 27
- Pharmacology 91
- Behavioral Neuroscience 35
- Biochemistry 64
- Cancer Research 76
Countries citing papers authored by J Pachecka
This map shows the geographic impact of J Pachecka'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 J Pachecka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Pachecka more than expected).
Fields of papers citing papers by J Pachecka
This network shows the impact of papers produced by J Pachecka. 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 J Pachecka. The network helps show where J Pachecka may publish in the future.
Co-authors
The 25 scholars most cited alongside J Pachecka, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 54 | |
| 2 | 1976 | 41 | |
| 3 | 2012 | 39 | |
| 4 | 2009 | 28 | |
| 5 | 2006 | 26 | |
| 6 | 1998 | 26 | |
| 7 | Cytochrome P450 polymorphism--molecular, metabolic, and pharmacogenetic aspects. II. Participation of CYP isoenzymes in the metabolism of endogenous substances and drugs. | 2008 | 25 |
| 8 | 1979 | 24 | |
| 9 | 2004 | 23 | |
| 10 | 2009 | 20 | |
| 11 | 2003 | 20 | |
| 12 | 2004 | 18 | |
| 13 | 2006 | 17 | |
| 14 | 2001 | 16 | |
| 15 | 2020 | 16 | |
| 16 | 2011 | 11 | |
| 17 | 2006 | 11 | |
| 18 | 1974 | 11 | |
| 19 | 1998 | 10 | |
| 20 | 1973 | 10 |
About J Pachecka
J Pachecka is a scholar working on Molecular Biology, Biochemistry, Surgery, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 557 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Chemical Reactions and Isotopes (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Stress Responses and Cortisol (3 papers), Fungal and yeast genetics research (3 papers), Protease and Inhibitor Mechanisms (3 papers), Diet and metabolism studies (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Biological Psychiatry (27 citations), Pharmacology (91 citations), Behavioral Neuroscience (35 citations), Biochemistry (64 citations) and Cancer Research (76 citations). J Pachecka has collaborated with scholars based in Poland, Italy and India. Frequent co-authors include Barbara Lisowska‐Myjak, G. Belvedere, Mario Salmona, E. Mussini, L Cantoni, Grażyna Kubiak-Tomaszewska, Stanisław Radowicki, Piotr Suchocki, Piotr Fiedor and Waldemar Szelenberger. Their work appears in journals such as Xenobiotica, Journal of Pharmaceutical and Biomedical Analysis, European Journal of Obstetrics & Gynecology and Reproductive Biology, Journal of Chromatography A and Scandinavian Journal of Clinical and Laboratory Investigation.
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.