Leonardo Campagna

2.1k citations
57 papers · 1.2k indexed · h-index 20
Topics
Genetic diversity and population structure (41 papers)Plant and animal studies (19 papers)Animal Behavior and Reproduction (14 papers)

In The Last Decade

Leonardo Campagna

55 papers receiving 1.2k citations

Peers

Leonardo Campagna
Comparison fields: 5 of 83
  • Genetics 771
  • Ecology, Evolution, Behavior and Systematics 437
  • Molecular Biology 374
  • Ecology 360
  • Nature and Landscape Conservation 171
Replace Niclas Backström with:
Niclas Backström Sweden
Clare E. Holleley Australia
Thomas Borge Norway
Yuchi Zheng China
Joachim Kosuch Germany
Nagarjun Vijay Sweden
Diego Baldo Argentina
S. D. Biju India
Angelica Crottini Portugal
Paulo Christiano de Anchieta Garcia Brazil
Leonardo Campagna relative to Niclas Backström Sweden Niclas Backström's profile →
Citations per field
00.5×1.5×
Niclas Backström · 1×
Citations per year

Countries citing papers authored by Leonardo Campagna

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Campagna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Campagna

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Campagna. A scholar is included among the top collaborators of Leonardo Campagna 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 Leonardo Campagna. Leonardo Campagna 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 0
2 0
3 1
4 1
5 5
6 11
7 49
8 1
9 7
10 46
11 34
12 72
13 68
14 135
15 25
16 63
17 39
18 27
19 34
20 67

About Leonardo Campagna

Leonardo Campagna is a scholar working on Developmental Biology, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic diversity and population structure (41 papers), Plant and animal studies (19 papers) and Animal Behavior and Reproduction (14 papers). The work is most often cited by research in Developmental Biology (82 citations), Ecological Modeling (136 citations) and Genetics (771 citations). Leonardo Campagna has collaborated with scholars based in United States, Argentina and Canada. Frequent co-authors include Irby J. Lovette, Pablo L. Tubaro, Luís Fábio Silveira, Stephen C. Lougheed, Darío A. Lijtmaer, Adam Siepel, Carla Suertegaray Fontana, Márcio Repenning, Adrián S. Di Giacomo and Ilan Gronau. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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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