María Mayol

1.4k citations
40 papers · 948 · h-index 17

Impact in

Papers in

María Mayol

40 papers receiving 905 citations

Peers

María Mayol
Comparison fields: 5 of 62
  • Ecological Modeling 115
  • Ecology, Evolution, Behavior and Systematics 480
  • Nature and Landscape Conservation 224
  • Genetics 376
  • Plant Science 440
Replace Carlos García‐Verdugo with:
Carlos García‐Verdugo Spain
Alan T. Whittemore United States
Mónica Moura Portugal
Karin Tremetsberger Austria
Philip Thomas United Kingdom
Mario Fernández‐Mazuecos Spain
Luigi Minuto Italy
Beatriz Guzmán Spain
Kentaro Uchiyama Japan
Llorenç Sáez Spain
María Mayol relative to Carlos García‐Verdugo Spain Carlos García‐Verdugo's profile →
Citations per field
00.5×1.5×
Carlos García‐Verdugo · 1×
Citations per year

Countries citing papers authored by María Mayol

Since Specialization
Citations

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

Fields of papers citing papers by María Mayol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside María Mayol, 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 María Mayol Line = papers co-authored together María Mayol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001150
2 2010101
3 201076
4 201565
5 200948
6 200844
7 200542
8 200839
9 202232
10 201129
11 200426
12 201925
13 200225
14 201223
15 200923
16 199921
17 201120
18 199916
19 200716
20 200216

About María Mayol

María Mayol is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Genetics, Molecular Biology and Ecological Modeling, having authored 40 papers that have together received 948 indexed citations. Recurring topics across this work include Genetic diversity and population structure (17 papers), Plant and animal studies (11 papers), Species Distribution and Climate Change (10 papers), Plant Pathogens and Fungal Diseases (9 papers), Mediterranean and Iberian flora and fauna (9 papers), Ecology and Vegetation Dynamics Studies (7 papers), Plant and Fungal Species Descriptions (5 papers) and Mycorrhizal Fungi and Plant Interactions (5 papers). The work is most often cited by research in Ecological Modeling (115 citations), Ecology, Evolution, Behavior and Systematics (480 citations), Nature and Landscape Conservation (224 citations), Genetics (376 citations) and Plant Science (440 citations). María Mayol has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Josep A. Rosselló, Miquel Riba, Santiago C. González‐Martínez, Giovanni G. Vendramin, Federico Sebastiani, Arántzazu Molins, F. Xavier Picó, Maureen Dubreuil, Éric Imbert and Concetta Burgarella. Their work appears in journals such as Molecular Ecology, American Journal of Botany, Taxon, Evolutionary Applications and Forest Ecology and Management.

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.

Explore authors with similar magnitude of impact