Pasqualina Colasuonno

2.0k total citations
40 papers, 1.5k citations indexed

About

Pasqualina Colasuonno is a scholar working on Plant Science, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Pasqualina Colasuonno has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 15 papers in Genetics and 7 papers in Nutrition and Dietetics. Recurrent topics in Pasqualina Colasuonno's work include Wheat and Barley Genetics and Pathology (25 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Genetics and Plant Breeding (12 papers). Pasqualina Colasuonno is often cited by papers focused on Wheat and Barley Genetics and Pathology (25 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Genetics and Plant Breeding (12 papers). Pasqualina Colasuonno collaborates with scholars based in Italy, Chile and Spain. Pasqualina Colasuonno's co-authors include Ágata Gadaleta, Antonio Blanco, Ilaria Marcotuli, Rosanna Simeone, Angelica Giancaspro, Giacomo Mangini, Stefania Lucia Giove, Cristóbal Uauy, Jorge Dubcovsky and Anna Maria Mastrangelo and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Pasqualina Colasuonno

39 papers receiving 1.4k citations

Peers

Pasqualina Colasuonno
Comparison fields: 5 of 65
  • Plant Science 1.3k
  • Genetics 490
  • Molecular Biology 284
  • Agronomy and Crop Science 173
  • Nutrition and Dietetics 169
Replace Luís Felipe V. Ferrão with:
Luís Felipe V. Ferrão United States
Angelica Giancaspro Italy
Ilaria Marcotuli Italy
Shubhada Tamhankar India
Friedrich J. Zeller Germany
Petr Martinek Czechia
Gopal Misra Philippines
Weie Wen China
Rajkumar U. Zunjare India
Stefania Lucia Giove Italy
Luís Felipe V. Ferrão United States View profile →
Citations per field, relative to Pasqualina Colasuonno
Pasqualina Colasuonno · 1×
Citations per year, relative to Pasqualina Colasuonno
Pasqualina Colasuonno · 1×

Countries citing papers authored by Pasqualina Colasuonno

Since Specialization
Citations

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

Fields of papers citing papers by Pasqualina Colasuonno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pasqualina Colasuonno

This figure shows the co-authorship network connecting the top 25 collaborators of Pasqualina Colasuonno. A scholar is included among the top collaborators of Pasqualina Colasuonno 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 Pasqualina Colasuonno. Pasqualina Colasuonno 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
# Work Indexed citations
1 0
2 1
3 1
4 3
5 27
6 63
7 12
8 14
9 69
10 53
11 64
12 52
13 21
14 25
15 7
16 67
17 19
18 13
19 2
20 17

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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2026