Nikola-Michael Prpíc
- Molecular Biology top 10%
- Genetics top 2%
- Ecology, Evolution, Behavior and Systematics top 2%
- Cellular and Molecular Neuroscience top 5%
- Paleontology top 2%
- Co-authors
- Wim G.M. DamenRalf JanßenMatthias PechmannNatascha TuretzekDiethard TautzGraham E. BuddMartin KlinglerErnst A. Wimmer
- Topics
- Developmental Biology and Gene Regulation (31 papers)Spider Taxonomy and Behavior Studies (16 papers)Neurobiology and Insect Physiology Research (16 papers)
- Partner nations
- GermanySwedenKazakhstan
In The Last Decade
Nikola-Michael Prpíc
59 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 1.2k
- Genetics 760
- Ecology, Evolution, Behavior and Systematics 506
- Cellular and Molecular Neuroscience 346
- Paleontology 333
Countries citing papers authored by Nikola-Michael Prpíc
This map shows the geographic impact of Nikola-Michael Prpíc'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 Nikola-Michael Prpíc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikola-Michael Prpíc more than expected).
Fields of papers citing papers by Nikola-Michael Prpíc
This network shows the impact of papers produced by Nikola-Michael Prpíc. 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 Nikola-Michael Prpíc. The network helps show where Nikola-Michael Prpíc may publish in the future.
Co-authorship network of co-authors of Nikola-Michael Prpíc
This figure shows the co-authorship network connecting the top 25 collaborators of Nikola-Michael Prpíc. A scholar is included among the top collaborators of Nikola-Michael Prpíc 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 Nikola-Michael Prpíc. Nikola-Michael Prpíc 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 | 3 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 45 | |
| 8 | 19 | |
| 9 | 38 | |
| 10 | 42 | |
| 11 | 26 | |
| 12 | 29 | |
| 13 | 21 | |
| 14 | 40 | |
| 15 | 14 | |
| 16 | 27 | |
| 17 | 18 | |
| 18 | 21 | |
| 19 | 115 | |
| 20 | 101 |
About Nikola-Michael Prpíc
Nikola-Michael Prpíc is a scholar working on Biomaterials, Aging and Genetics, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (31 papers), Spider Taxonomy and Behavior Studies (16 papers) and Neurobiology and Insect Physiology Research (16 papers). The work is most often cited by research in Paleontology (333 citations), Genetics (760 citations) and Ecology, Evolution, Behavior and Systematics (506 citations). Nikola-Michael Prpíc has collaborated with scholars based in Germany, Sweden and Kazakhstan. Frequent co-authors include Wim G.M. Damen, Ralf Janßen, Matthias Pechmann, Natascha Turetzek, Diethard Tautz, Graham E. Budd, Martin Klingler, Ernst A. Wimmer, Alistair P. McGregor and Evelyn E. Schwager. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.
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.