Melisa Olave

19 papers receiving 507 citations

Peers

Melisa Olave
Comparison fields: 5 of 37
  • Ecological Modeling 145
  • Global and Planetary Change 241
  • Genetics 307
  • Paleontology 64
  • Ecology, Evolution, Behavior and Systematics 137
Replace Frank M. Fontanella with:
Frank M. Fontanella United States
Michael F. Barej Germany
Catriona R. Hendry United States
Danielle Rivera United States
Breda M. Zimkus United States
Tomohiko Shimada Japan
Fèlix Amat Spain
Evan McCartney‐Melstad United States
Rosa Polymeni Greece
Damien Esquerré Australia
Melisa Olave relative to Frank M. Fontanella United States Frank M. Fontanella's profile →
Citations per field
00.5×7.8×
Frank M. Fontanella · 1×
Citations per year

Countries citing papers authored by Melisa Olave

Since Specialization
Citations

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

Fields of papers citing papers by Melisa Olave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Melisa Olave, 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 Melisa Olave Line = papers co-authored together Melisa Olave links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020118
2 201361
3 201250
4 202049
5 201137
6 201429
7 201623
8 201522
9 201820
10 201814
11 201514
12 201714
13 202013
14 202211
15 202010
16 201310
17 20189
18 20233
19 20241
20 20240

About Melisa Olave

Melisa Olave is a scholar working on Genetics, Global and Planetary Change, Molecular Biology, Paleontology and Ecological Modeling, having authored 20 papers that have together received 508 indexed citations. Recurring topics across this work include Genetic diversity and population structure (14 papers), Amphibian and Reptile Biology (11 papers), Genomics and Phylogenetic Studies (6 papers), Species Distribution and Climate Change (5 papers), Evolution and Paleontology Studies (5 papers), Evolution and Genetic Dynamics (3 papers), Fish biology, ecology, and behavior (2 papers) and Coleoptera Taxonomy and Distribution (1 paper). The work is most often cited by research in Ecological Modeling (145 citations), Global and Planetary Change (241 citations), Genetics (307 citations), Paleontology (64 citations) and Ecology, Evolution, Behavior and Systematics (137 citations). Melisa Olave has collaborated with scholars based in Argentina, United States and Germany. Frequent co-authors include Mariana Morando, Luciano Javier Ávila, Jack W. Sites, Axel Meyer, L. Lacey Knowles, Andreas F. Kautt, Alexander Nater, C. Darrin Hulsey, Paolo Franchini and Frank M. Fontanella. Their work appears in journals such as Molecular Phylogenetics and Evolution, Systematic Biology, Zoological Journal of the Linnean Society, Zoologica Scripta and Journal of Biogeography.

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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