Fabia U. Battistuzzi

3.2k citations
29 papers · 2.2k indexed · 1 hit paper · h-index 18
Topics
Genomics and Phylogenetic Studies (18 papers)Genetic diversity and population structure (13 papers)Evolution and Paleontology Studies (10 papers)

In The Last Decade

Fabia U. Battistuzzi

28 papers receiving 2.1k citations

Hit Papers

Estimating divergence times in large molecular phylogenies20122026201620212012100200300400

Peers

Fabia U. Battistuzzi
Comparison fields: 5 of 113
  • Molecular Biology 1.1k
  • Genetics 628
  • Ecology 537
  • Paleontology 366
  • Ecology, Evolution, Behavior and Systematics 313
Replace Stéphane Aris‐Brosou with:
Stéphane Aris‐Brosou Canada
Edward Susko Canada
Denis Baurain Belgium
Erwan Corre France
Samuel Blanquart France
J. R. Medina Spain
Martin Schlegel Germany
Truls Moum Norway
Douda Bensasson United States
Marco Arculeo Italy
Fabia U. Battistuzzi relative to Stéphane Aris‐Brosou Canada Stéphane Aris‐Brosou's profile →
Citations per field
00.5×1.5×1.9×
Stéphane Aris‐Brosou · 1×
Citations per year

Countries citing papers authored by Fabia U. Battistuzzi

Since Specialization
Citations

This map shows the geographic impact of Fabia U. Battistuzzi'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 Fabia U. Battistuzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabia U. Battistuzzi more than expected).

Fields of papers citing papers by Fabia U. Battistuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabia U. Battistuzzi. 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 Fabia U. Battistuzzi. The network helps show where Fabia U. Battistuzzi may publish in the future.

Co-authorship network of co-authors of Fabia U. Battistuzzi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 3
3 3
4 2
5 23
6 38
7 20
8 17
9 66
10 25
11 38
12
followed by Tertiary dispersals to Africa and Australasia Molecular evidence for an Asian origin of monitor lizards
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13 68
14 74
15 193
16 29
17 200
18 78
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20 425

About Fabia U. Battistuzzi

Fabia U. Battistuzzi is a scholar working on Paleontology, Genetics and Ecological Modeling, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Genetic diversity and population structure (13 papers) and Evolution and Paleontology Studies (10 papers). The work is most often cited by research in Paleontology (366 citations), Genetics (628 citations) and Ecology (537 citations). Fabia U. Battistuzzi has collaborated with scholars based in United States, Japan and Saudi Arabia. Frequent co-authors include S. Blair Hedges, Sudhir Kumar, Koichiro Tamura, Alan Filipski, Paul Billing-Ross, Oscar Murillo, Ananías A. Escalante, Sergei L. Kosakovsky Pond, M. Andreína Pacheco and Rocío Aguilar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

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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