Martin Kaczocha
- Pharmacology top 0.2%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Dale G. DeutschSherrye T. GlaserIwao OjimaKeith M. StudholmeMatthew W. ElmesSamir Haj‐DahmaneJing SunMario J. Rebecchi
- Topics
- Cannabis and Cannabinoid Research (42 papers)Peroxisome Proliferator-Activated Receptors (18 papers)Forensic Toxicology and Drug Analysis (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Martin Kaczocha
67 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 106
- Pharmacology 1.8k
- Cellular and Molecular Neuroscience 852
- Molecular Biology 795
- Physiology 374
- Endocrinology, Diabetes and Metabolism 328
Countries citing papers authored by Martin Kaczocha
This map shows the geographic impact of Martin Kaczocha'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 Martin Kaczocha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kaczocha more than expected).
Fields of papers citing papers by Martin Kaczocha
This network shows the impact of papers produced by Martin Kaczocha. 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 Martin Kaczocha. The network helps show where Martin Kaczocha may publish in the future.
Co-authorship network of co-authors of Martin Kaczocha
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kaczocha. A scholar is included among the top collaborators of Martin Kaczocha 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 Martin Kaczocha. Martin Kaczocha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 23 | |
| 11 | 16 | |
| 12 | 23 | |
| 13 | 61 | |
| 14 | 9 | |
| 15 | 41 | |
| 16 | 28 | |
| 17 | 22 | |
| 18 | 30 | |
| 19 | 46 | |
| 20 | 83 |
About Martin Kaczocha
Martin Kaczocha is a scholar working on Toxicology, Pharmacology and Cellular and Molecular Neuroscience, having authored 69 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (42 papers), Peroxisome Proliferator-Activated Receptors (18 papers) and Forensic Toxicology and Drug Analysis (16 papers). The work is most often cited by research in Pharmacology (1.8k citations), Toxicology (216 citations) and Cellular and Molecular Neuroscience (852 citations). Martin Kaczocha has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Dale G. Deutsch, Sherrye T. Glaser, Iwao Ojima, Keith M. Studholme, Matthew W. Elmes, Samir Haj‐Dahmane, Jing Sun, Mario J. Rebecchi, William T. Berger and Nada A. Abumrad. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.