J Pachecka
- Molecular Biology
- Pharmacology top 5%
- Cancer Research
- Biochemistry top 10%
- Spectroscopy
- Co-authors
- Barbara Lisowska‐MyjakMario SalmonaG. BelvedereL CantoniE. MussiniGrażyna Kubiak-TomaszewskaStanisław RadowickiPiotr Suchocki
- Topics
- Pharmacogenetics and Drug Metabolism (6 papers)Chemical Reactions and Isotopes (5 papers)Eicosanoids and Hypertension Pharmacology (4 papers)
In The Last Decade
J Pachecka
54 papers receiving 534 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 174
- Pharmacology 94
- Cancer Research 76
- Biochemistry 64
- Spectroscopy 58
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-authorship network of co-authors of J Pachecka
This figure shows the co-authorship network connecting the top 25 collaborators of J Pachecka. A scholar is included among the top collaborators of J Pachecka 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 J Pachecka. J Pachecka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Comparison of urinary albumin and alpha-1-antitrypsin (AAT) excretion in consecutive stages of proteinuria in patients with diabetes mellitus. | 1 |
| 3 | TRYPTOPHAN HYDROXYLASE GENES POLYMORPHISMS AND THEIR PREDICTIVE AND DIAGNOSTIC VALUE (Diagnostyczne i predykcyjne znaczenie polimorfizmow genów hydroksylazy tryptofanu) | 0 |
| 4 | 28 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | Cortisol level in men with major depressive disorder treated with fluoxetine or imipramine. | 5 |
| 8 | Development, validation and application of the HPLC method for determination of mianserin in human serum. | 5 |
| 9 | Tkanka łączna jako czwarty układ regulujący homeostazę organizmu | 1 |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 18 | |
| 13 | 20 | |
| 14 | 8 | |
| 15 | 16 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | The effect of acute intoxication by dichlorvos and trichlorphon on the activities of some rat brain esterases. | 2 |
| 19 | 3 | |
| 20 | 9 |
About J Pachecka
J Pachecka is a scholar working on Biochemistry, Behavioral Neuroscience and Pharmaceutical Science, having authored 57 papers that have together received 556 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Chemical Reactions and Isotopes (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Behavioral Neuroscience (41 citations) and Pharmacology (94 citations). J Pachecka has collaborated with scholars based in Poland, Italy and India. Frequent co-authors include Barbara Lisowska‐Myjak, Mario Salmona, G. Belvedere, L Cantoni, E. Mussini, Grażyna Kubiak-Tomaszewska, Stanisław Radowicki, Piotr Suchocki, Piotr Fiedor and Waldemar Szelenberger. Their work appears in journals such as Journal of Chromatography A, Cellular and Molecular Life Sciences and Psychiatry Research.
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.