Paschalia Kapli
- Ecology top 1%
- Genetics top 1%
- Molecular Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Global and Planetary Change top 2%
- Co-authors
- Alexandros StamatakisPavlos PavlidisJiajie ZhangMaximilian J. TelfordZiheng YangTomáš FlouriSarah LutteroppKassian Kobert
- Topics
- Genetic diversity and population structure (20 papers)Amphibian and Reptile Biology (12 papers)Genomics and Phylogenetic Studies (10 papers)
- Partner nations
- United KingdomGreeceGermany
In The Last Decade
Paschalia Kapli
30 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Ecology 1.3k
- Genetics 1.3k
- Molecular Biology 1.2k
- Ecology, Evolution, Behavior and Systematics 1.2k
- Global and Planetary Change 798
Countries citing papers authored by Paschalia Kapli
This map shows the geographic impact of Paschalia Kapli'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 Paschalia Kapli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paschalia Kapli more than expected).
Fields of papers citing papers by Paschalia Kapli
This network shows the impact of papers produced by Paschalia Kapli. 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 Paschalia Kapli. The network helps show where Paschalia Kapli may publish in the future.
Co-authorship network of co-authors of Paschalia Kapli
This figure shows the co-authorship network connecting the top 25 collaborators of Paschalia Kapli. A scholar is included among the top collaborators of Paschalia Kapli 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 Paschalia Kapli. Paschalia Kapli 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 | 0 | |
| 3 | 2 | |
| 4 | Beginner's Guide on the Use of PAML to Detect Positive Selectionbreakdown → | 85 |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 33 | |
| 9 | Phylogenetic tree building in the genomic agebreakdown → | 274 |
| 10 | 1 | |
| 11 | Multi-rate Poisson tree processes for single-locus species delimitation under maximum likelihood and Markov chain Monte Carlobreakdown → | 678 |
| 12 | 15 | |
| 13 | 15 | |
| 14 | 30 | |
| 15 | 21 | |
| 16 | 35 | |
| 17 | 47 | |
| 18 | 55 | |
| 19 | 39 | |
| 20 | Molecular Phylogeny and Evolutionary History of Species of the Genus Mesalina (Sauria: Lacertidae) Based on Mitochondrial DNA Sequences | 1 |
About Paschalia Kapli
Paschalia Kapli is a scholar working on Ecological Modeling, Genetics and Paleontology, having authored 32 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (20 papers), Amphibian and Reptile Biology (12 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Ecological Modeling (466 citations), Paleontology (471 citations) and Ecology, Evolution, Behavior and Systematics (1.2k citations). Paschalia Kapli has collaborated with scholars based in United Kingdom, Greece and Germany. Frequent co-authors include Alexandros Stamatakis, Pavlos Pavlidis, Jiajie Zhang, Maximilian J. Telford, Ziheng Yang, Tomáš Flouri, Sarah Lutteropp, Kassian Kobert, Jian Zhang and Petros Lymberakis. Their work appears in journals such as Bioinformatics, Nature Reviews Genetics and Current Biology.
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.