F Santucci

819 total citations
11 papers, 690 citations indexed

About

F Santucci is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, F Santucci has authored 11 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Ecology and 2 papers in Molecular Biology. Recurrent topics in F Santucci's work include Genetic diversity and population structure (6 papers), Wildlife Ecology and Conservation (3 papers) and Animal Ecology and Behavior Studies (2 papers). F Santucci is often cited by papers focused on Genetic diversity and population structure (6 papers), Wildlife Ecology and Conservation (3 papers) and Animal Ecology and Behavior Studies (2 papers). F Santucci collaborates with scholars based in United Kingdom, Italy and United States. F Santucci's co-authors include G. M. Hewitt, Nigel Reeve, Jennifer M. Seddon, Brent C. Emerson, G. M. Hewitt, Giuseppe Nascetti, L. Bullini, Martin I. Taylor, Keren Byrne and Michael W. Bruford and has published in prestigious journals such as Circulation, Molecular Ecology and Heredity.

In The Last Decade

F Santucci

11 papers receiving 642 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F Santucci United Kingdom 9 461 277 115 91 88 11 690
Laura D. Bertola United States 16 302 0.7× 316 1.1× 76 0.7× 139 1.5× 120 1.4× 38 678
Nicolás Gouin Chile 17 302 0.7× 349 1.3× 62 0.5× 112 1.2× 56 0.6× 47 721
Jean‐Marc Pons France 18 406 0.9× 471 1.7× 416 3.6× 138 1.5× 251 2.9× 42 975
Amy M. Runck United States 10 463 1.0× 404 1.5× 142 1.2× 98 1.1× 124 1.4× 15 744
Robert Makowsky United States 14 297 0.6× 77 0.3× 117 1.0× 126 1.4× 46 0.5× 28 709
Meredith J. Hamilton United States 20 492 1.1× 339 1.2× 244 2.1× 308 3.4× 78 0.9× 40 998
Alexander P. Saveljev Russia 18 515 1.1× 751 2.7× 114 1.0× 116 1.3× 67 0.8× 51 1.0k
Martin S. Elphinstone Australia 13 492 1.1× 298 1.1× 113 1.0× 211 2.3× 44 0.5× 17 764
Vikas Kumar India 11 308 0.7× 270 1.0× 116 1.0× 250 2.7× 52 0.6× 40 672
Masahiro A. Iwasa Japan 17 508 1.1× 413 1.5× 248 2.2× 141 1.5× 111 1.3× 73 862

Countries citing papers authored by F Santucci

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of F Santucci

This figure shows the co-authorship network connecting the top 25 collaborators of F Santucci. A scholar is included among the top collaborators of F Santucci 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 F Santucci. F Santucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Santucci, F, et al.. (2016). Coronary disease risk assessment in men: Comparison between ASCVD Risk versus Framingham. International Journal of Cardiology. 228. 481–487. 16 indexed citations
2.
Santucci, F, et al.. (2007). Selection on MHC-linked microsatellite loci in sheep populations. Heredity. 99(3). 340–348. 29 indexed citations
3.
Handley, Lori Lawson, Keren Byrne, F Santucci, et al.. (2007). Genetic structure of European sheep breeds. Heredity. 99(6). 620–631. 132 indexed citations
4.
Seddon, Jennifer M., F Santucci, Nigel Reeve, & G. M. Hewitt. (2002). Caucasus Mountains divide postulated postglacial colonization routes in the white-breasted hedgehog, Erinaceus concolor. Journal of Evolutionary Biology. 15(3). 463–467. 79 indexed citations
5.
Seddon, Jennifer M., F Santucci, Nigel Reeve, & G. M. Hewitt. (2001). DNA footprints of European hedgehogs, Erinaceus europaeus and E. concolor: Pleistocene refugia, postglacial expansion and colonization routes. Molecular Ecology. 10(9). 2187–2198. 163 indexed citations
6.
Santucci, F, Brent C. Emerson, & G. M. Hewitt. (1998). Mitochondrial DNA phylogeography of European hedgehogs. Molecular Ecology. 7(9). 1163–1172. 131 indexed citations
7.
Santucci, F, M. Iaconelli, P. Andreani, et al.. (1997). Allozyme diversity of european freshwater crayfish of the geniusAustropotamobius. Bulletin Français de la Pêche et de la Pisciculture. 663–676. 58 indexed citations
8.
Santucci, F, Giuseppe Nascetti, & L. Bullini. (1996). Hybrid zones between two genetically differentiated forms of the pond frog Rana lessonae in southern Italy. Journal of Evolutionary Biology. 9(4). 429–450. 37 indexed citations
9.
Bufalari, Antonello, et al.. (1956). Abnormality of the U Wave and of the T-U Segment of the Electrocardiogram. Circulation. 14(6). 1129–1137. 42 indexed citations
10.
Santucci, F, et al.. (1956). Morphologic Aspects of the Negativity of the U Wave and their Corresponding Electrocardiographic and Clinical Data. Circulation. 14(5). 859–867. 1 indexed citations
11.
Santucci, F, et al.. (1955). [Clinical significance of the negative U wave].. PubMed. 14(5). 477–507. 2 indexed citations

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.

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