F Santucci
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Genetics top 5%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Co-authors
- G. M. Hewitt (3 shared papers)Nigel Reeve (2 shared papers)Jennifer M. Seddon (2 shared papers)Brent C. Emerson (1 shared paper)G. M. Hewitt (1 shared paper)L. Bullini (2 shared papers)Giuseppe Nascetti (2 shared papers)Keren Byrne (1 shared paper)
- Journals
- Molecular Ecology (2 papers)Circulation (2 papers)Journal of Evolutionary Biology (2 papers)Heredity (2 papers)International Journal of Cardiology (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
F Santucci
11 papers receiving 646 citations
Peers
Comparison fields: 5 of 69
- Ecological Modeling 83
- Genetics 441
- Ecology 273
- Paleontology 70
- Nature and Landscape Conservation 70
Countries citing papers authored by F Santucci
This map shows the geographic impact of F Santucci'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 F Santucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Santucci more than expected).
Fields of papers citing papers by F Santucci
This network shows the impact of papers produced by F Santucci. 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 F Santucci. The network helps show where F Santucci may publish in the future.
Co-authors
The 17 scholars most cited alongside F Santucci, 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 | 2001 | 165 | |
| 2 | 1998 | 133 | |
| 3 | 2007 | 132 | |
| 4 | 2002 | 79 | |
| 5 | 1997 | 58 | |
| 6 | 1956 | 42 | |
| 7 | 1996 | 37 | |
| 8 | 2007 | 29 | |
| 9 | 2016 | 16 | |
| 10 | [Clinical significance of the negative U wave]. | 1955 | 2 |
| 11 | 1956 | 1 |
About F Santucci
F Santucci is a scholar working on Genetics, Ecology, Molecular Biology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 11 papers that have together received 694 indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Wildlife Ecology and Conservation (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Animal Ecology and Behavior Studies (2 papers), Genetic and phenotypic traits in livestock (2 papers), Cardiac Arrhythmias and Treatments (1 paper), Identification and Quantification in Food (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Ecological Modeling (83 citations), Genetics (441 citations), Ecology (273 citations), Paleontology (70 citations) and Nature and Landscape Conservation (70 citations). F Santucci has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include G. M. Hewitt, Nigel Reeve, Jennifer M. Seddon, Brent C. Emerson, G. M. Hewitt, L. Bullini, Giuseppe Nascetti, Keren Byrne, Michael W. Bruford and Martin I. Taylor. Their work appears in journals such as Molecular Ecology, Circulation, Journal of Evolutionary Biology, Heredity and International Journal of Cardiology.
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.