Evandro M. Moraes

1.4k citations
59 papers · 1.0k · h-index 18

Impact in

Papers in

Evandro M. Moraes

56 papers receiving 1.0k citations

Peers

Evandro M. Moraes
Comparison fields: 5 of 79
  • Ecology, Evolution, Behavior and Systematics 486
  • Ecological Modeling 89
  • Food Science 321
  • Genetics 405
  • Nature and Landscape Conservation 133
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Zhiyong Zhang China
M. I. H. Brooker Australia
Xu Gao China
Bruno Vila France
Alberto Masoni Italy
Lars Graudal Denmark
Yuji Ide Japan
J. Jesús Vargas‐Hernández Mexico
Donatella Paffetti Italy
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Citations per field
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Citations per year

Countries citing papers authored by Evandro M. Moraes

Since Specialization
Citations

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

Fields of papers citing papers by Evandro M. Moraes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evandro M. Moraes. 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 Evandro M. Moraes. The network helps show where Evandro M. Moraes may publish in the future.

Co-authors

The 25 scholars most cited alongside Evandro M. Moraes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Evandro M. Moraes Line = papers co-authored together Evandro M. Moraes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201898
2 201497
3 200493
4 201748
5 200440
6 200437
7 200935
8 201733
9 200527
10 201726
11 201626
12 200926
13 202024
14 201924
15 201619
16 202218
17 202117
18 201517
19 202116
20 201216

About Evandro M. Moraes

Evandro M. Moraes is a scholar working on Ecology, Evolution, Behavior and Systematics, Food Science, Genetics, Plant Science and Insect Science, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Botanical Research and Applications (30 papers), Plant Diversity and Evolution (25 papers), Plant and animal studies (24 papers), Genetic diversity and population structure (22 papers), Ecology and Vegetation Dynamics Studies (7 papers), Insect behavior and control techniques (5 papers), Cassava research and cyanide (5 papers) and Botany, Ecology, and Taxonomy Studies (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (486 citations), Ecological Modeling (89 citations), Food Science (321 citations), Genetics (405 citations) and Nature and Landscape Conservation (133 citations). Evandro M. Moraes has collaborated with scholars based in Brazil, United States and Singapore. Frequent co-authors include Isabel A. S. Bonatelli, Fernando Faria Franco, Daniela C. Zappi, Nigel P. Taylor, F. M. Sene, Manolo F. Perez, Maura Helena Manfrin, Marlon C. Machado, Eugênio Foresti and Marcelo Zaiat. Their work appears in journals such as Molecular Phylogenetics and Evolution, Heredity, Planta, Journal of Biogeography and Genetica.

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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