J Kvĕtina
- Pharmacology top 5%
- Molecular Biology
- Pharmacology top 2%
- Oncology
- Analytical Chemistry top 2%
- Co-authors
- Zbyněk SvobodaMilan NobilisA. GuaitaniPavel AnzenbacherEva AnzenbacherováMartin KunešJan BurešMichal Holčapek
- Topics
- Drug Transport and Resistance Mechanisms (15 papers)Pharmacogenetics and Drug Metabolism (12 papers)Antibiotics Pharmacokinetics and Efficacy (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
- Partner nations
- CzechiaUnited KingdomItaly
In The Last Decade
J Kvĕtina
108 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Pharmacology 272
- Molecular Biology 267
- Pharmacology 264
- Oncology 229
- Analytical Chemistry 187
Countries citing papers authored by J Kvĕtina
This map shows the geographic impact of J Kvĕtina'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 Kvĕtina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Kvĕtina more than expected).
Fields of papers citing papers by J Kvĕtina
This network shows the impact of papers produced by J Kvĕtina. 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 Kvĕtina. The network helps show where J Kvĕtina may publish in the future.
Co-authorship network of co-authors of J Kvĕtina
This figure shows the co-authorship network connecting the top 25 collaborators of J Kvĕtina. A scholar is included among the top collaborators of J Kvĕtina 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 Kvĕtina. J Kvĕtina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | Intravenous application of HI-6 salts (dichloride and dimethansulphonate) in pigs: comparison with pharmacokinetics profile after intramuscular administration. | 5 |
| 9 | 52 | |
| 10 | 13 | |
| 11 | 14 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 41 | |
| 16 | 27 | |
| 17 | 63 | |
| 18 | 4 | |
| 19 | Changes in the toxicity and therapeutic efficacy of daunorubicin linked with a biodegradable carrier. | 4 |
| 20 | Influence of the composition of rat central lymph on the pharmacokinetics (the steady state during infusion, bioavailability, absorption) of diazepam, studied in the blood and lymph. | 6 |
About J Kvĕtina
J Kvĕtina is a scholar working on Gastroenterology, Pharmaceutical Science and Pharmacology, having authored 112 papers that have together received 1.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (15 papers), Pharmacogenetics and Drug Metabolism (12 papers) and Antibiotics Pharmacokinetics and Efficacy (10 papers). The work is most often cited by research in Pharmacology (264 citations), Analytical Chemistry (187 citations) and Gastroenterology (94 citations). J Kvĕtina has collaborated with scholars based in Czechia, United Kingdom and Italy. Frequent co-authors include Zbyněk Svoboda, Milan Nobilis, A. Guaitani, Pavel Anzenbacher, Eva Anzenbacherová, Martin Kuneš, Jan Bureš, Michal Holčapek, K Hrubý and Ivan Gut. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.
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.