Paschalia Kapli
- Ecological Modeling top 1%
- Species Distribution and Climate Change 8
- Paleontology top 2%
- Evolution and Paleontology Studies 5
-
- Plant Diversity and Evolution 3
- Aquatic Science top 1%
- Ecology top 1%
-
- Genetic diversity and population structure 20
- Spider Taxonomy and Behavior Studies 4
-
- Amphibian and Reptile Biology 12
-
- Genomics and Phylogenetic Studies 10
- Protist diversity and phylogeny 2
- Co-authors
- Alexandros StamatakisPavlos PavlidisJiajie ZhangMaximilian J. TelfordZiheng YangTomáš FlouriSarah LutteroppKassian Kobert
- Partner nations
- United KingdomGreeceGermany
In The Last Decade
Paschalia Kapli
30 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Ecological Modeling 466
- Paleontology 471
- Ecology, Evolution, Behavior and Systematics 1.2k
- Aquatic Science 380
- Ecology 1.3k
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
The 25 scholars most cited alongside Paschalia Kapli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | Beginner's Guide on the Use of PAML to Detect Positive Selectionbreakdown → | 2023 | 85 |
| 5 | 2022 | 4 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 33 | |
| 9 | Phylogenetic tree building in the genomic agebreakdown → | 2020 | 274 |
| 10 | 2019 | 1 | |
| 11 | Multi-rate Poisson tree processes for single-locus species delimitation under maximum likelihood and Markov chain Monte Carlobreakdown → | 2017 | 678 |
| 12 | 2017 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2016 | 30 | |
| 15 | 2016 | 21 | |
| 16 | 2016 | 35 | |
| 17 | 2014 | 47 | |
| 18 | 2012 | 55 | |
| 19 | 2008 | 39 | |
| 20 | Molecular Phylogeny and Evolutionary History of Species of the Genus Mesalina (Sauria: Lacertidae) Based on Mitochondrial DNA Sequences | 2006 | 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), Genomics and Phylogenetic Studies (10 papers), Species Distribution and Climate Change (8 papers), Evolution and Paleontology Studies (5 papers), Spider Taxonomy and Behavior Studies (4 papers), Plant Diversity and Evolution (3 papers) and Protist diversity and phylogeny (2 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.