Davide Pisani
- Paleontology top 0.1%
- Molecular Biology top 2%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Ecology top 1%
- Genetics top 1%
- Co-authors
- Kevin J. PetersonErik A. SperlingPhilip C. J. DonoghueOmar Rota‐StabelliJames O. McInerneyMarc LaflammeDouglas H. ErwinSarah M. Tweedt
- Topics
- Genomics and Phylogenetic Studies (37 papers)Evolution and Paleontology Studies (30 papers)Genetic diversity and population structure (28 papers)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Davide Pisani
113 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Paleontology 3.6k
- Molecular Biology 3.2k
- Ecology, Evolution, Behavior and Systematics 2.1k
- Ecology 1.6k
- Genetics 1.6k
Countries citing papers authored by Davide Pisani
This map shows the geographic impact of Davide Pisani'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 Davide Pisani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Pisani more than expected).
Fields of papers citing papers by Davide Pisani
This network shows the impact of papers produced by Davide Pisani. 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 Davide Pisani. The network helps show where Davide Pisani may publish in the future.
Co-authorship network of co-authors of Davide Pisani
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Pisani. A scholar is included among the top collaborators of Davide Pisani 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 Davide Pisani. Davide Pisani 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 | 7 | |
| 3 | The nature of the last universal common ancestor and its impact on the early Earth systembreakdown → | 74 |
| 4 | 15 | |
| 5 | 10 | |
| 6 | Integrated phylogenomics and fossil data illuminate the evolution of beetlesbreakdown → | 180 |
| 7 | 16 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 38 | |
| 13 | 23 | |
| 14 | 24 | |
| 15 | 54 | |
| 16 | 65 | |
| 17 | 169 | |
| 18 | 219 | |
| 19 | 99 | |
| 20 | 143 |
About Davide Pisani
Davide Pisani is a scholar working on Paleontology, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 117 papers that have together received 8.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (37 papers), Evolution and Paleontology Studies (30 papers) and Genetic diversity and population structure (28 papers). The work is most often cited by research in Paleontology (3.6k citations), Ecology, Evolution, Behavior and Systematics (2.1k citations) and Oceanography (1.2k citations). Davide Pisani has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Kevin J. Peterson, Erik A. Sperling, Philip C. J. Donoghue, Omar Rota‐Stabelli, James O. McInerney, Marc Laflamme, Douglas H. Erwin, Sarah M. Tweedt, Mark N. Puttick and James A. Cotton. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.