Mario Ventura

12.8k citations
96 papers · 5.2k indexed · 2 hit papers · h-index 41
Topics
Chromosomal and Genetic Variations (59 papers)Genomic variations and chromosomal abnormalities (50 papers)Genomics and Chromatin Dynamics (27 papers)
Partner nations
ItalyUnited StatesSpain

In The Last Decade

Mario Ventura

94 papers receiving 5.1k citations

Hit Papers

Segmental duplications and their variation in a complete ...20222026202320242022202450100150

Peers

Mario Ventura
Comparison fields: 5 of 132
  • Molecular Biology 3.4k
  • Genetics 3.0k
  • Plant Science 2.7k
  • Pediatrics, Perinatology and Child Health 395
  • Cancer Research 280
Replace J L Weber with:
J L Weber United States
Mauricio O. Carneiro United States
Janet M. Young United States
Ami Levy‐Moonshine United States
Maika Malig United States
Khalid Shakir United States
David Roazen United States
Jeffrey M. Kidd United States
Delphine Samson France
Kazutoyo Osoegawa United States
Mario Ventura relative to J L Weber United States J L Weber's profile →
Citations per field
00.5×10×15×21.8×
J L Weber · 1×
Citations per year

Countries citing papers authored by Mario Ventura

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ventura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Ventura. 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 Mario Ventura. The network helps show where Mario Ventura may publish in the future.

Co-authorship network of co-authors of Mario Ventura

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Ventura. A scholar is included among the top collaborators of Mario Ventura 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 Mario Ventura. Mario Ventura 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
1 7
2 4
3 1
4
Segmental duplications and their variation in a complete human genomebreakdown →
152
5 5
6 1
7 7
8 9
9 4
10 17
11 11
12 27
13 22
14 69
15 94
16 122
17 185
18 23
19 29
20 7

About Mario Ventura

Mario Ventura is a scholar working on Genetics, Plant Science and Molecular Biology, having authored 96 papers that have together received 5.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (59 papers), Genomic variations and chromosomal abnormalities (50 papers) and Genomics and Chromatin Dynamics (27 papers). The work is most often cited by research in Genetics (3.0k citations), Plant Science (2.7k citations) and Molecular Biology (3.4k citations). Mario Ventura has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Evan E. Eichler, Mariano Rocchi, Maria Francesca Cardone, Nicoletta Archidiacono, Can Alkan, Francesca Antonacci, Ze Cheng, Tomàs Marquès‐Bonet, Claudia Rita Catacchio and Tina Graves. 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.

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