Maciej J. Dańko
- Aging top 2%
- Ecology
- Ecology, Evolution, Behavior and Systematics top 10%
- General Health Professions
- Genetics
- Co-authors
- Jan KozłowskiRalf SchaibleJames W. VaupelDaniel E. MartínezJutta GampeAlexander ScheuerleinOskar BürgerAnna Oksuzyan
- Topics
- Genetics, Aging, and Longevity in Model Organisms (8 papers)Evolutionary Game Theory and Cooperation (4 papers)Statistical Methods and Bayesian Inference (3 papers)
- Cited by
- AgingPaleontologyHealth
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- GermanyPolandUnited Kingdom
In The Last Decade
Maciej J. Dańko
25 papers receiving 361 citations
Peers
Comparison fields: 5 of 93
- Aging 90
- Ecology 77
- Ecology, Evolution, Behavior and Systematics 72
- General Health Professions 62
- Genetics 58
Countries citing papers authored by Maciej J. Dańko
This map shows the geographic impact of Maciej J. Dańko'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 Maciej J. Dańko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej J. Dańko more than expected).
Fields of papers citing papers by Maciej J. Dańko
This network shows the impact of papers produced by Maciej J. Dańko. 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 Maciej J. Dańko. The network helps show where Maciej J. Dańko may publish in the future.
Co-authorship network of co-authors of Maciej J. Dańko
This figure shows the co-authorship network connecting the top 25 collaborators of Maciej J. Dańko. A scholar is included among the top collaborators of Maciej J. Dańko 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 Maciej J. Dańko. Maciej J. Dańko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 40 | |
| 11 | 8 | |
| 12 | 21 | |
| 13 | 15 | |
| 14 | 9 | |
| 15 | 10 | |
| 16 | 21 | |
| 17 | 22 | |
| 18 | 5 | |
| 19 | 19 | |
| 20 | 15 |
About Maciej J. Dańko
Maciej J. Dańko is a scholar working on Aging, Neuropsychology and Physiological Psychology and Statistics and Probability, having authored 25 papers that have together received 368 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Evolutionary Game Theory and Cooperation (4 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Aging (90 citations), Paleontology (45 citations) and Health (42 citations). Maciej J. Dańko has collaborated with scholars based in Germany, Poland and United Kingdom. Frequent co-authors include Jan Kozłowski, Ralf Schaible, James W. Vaupel, Daniel E. Martínez, Jutta Gampe, Alexander Scheuerlein, Oskar Bürger, Anna Oksuzyan, Jennifer L. Caputo and Domantas Jasilionis. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología 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.