Eva Mayol

978 citations
10 papers · 645 · h-index 7

Impact in

    • Marine and coastal ecosystems
    • Marine Biology and Ecology Research
    • Ocean Acidification Effects and Responses
  • Ecology top 5%
    • Microbial Community Ecology and Physiology

Papers in

    • Marine and coastal ecosystems 5
    • Marine Biology and Ecology Research 4
    • Ocean Acidification Effects and Responses 4
    • Microbial Community Ecology and Physiology 4
    • Coral and Marine Ecosystems Studies 1

Eva Mayol

10 papers receiving 642 citations

Peers

Eva Mayol
Comparison fields: 5 of 67
  • Oceanography 368
  • Ecology 298
  • Health, Toxicology and Mutagenesis 132
  • Environmental Chemistry 88
  • Global and Planetary Change 124
Replace John W. Runcie with:
John W. Runcie Australia
Mariana Reissig Argentina
Teresa S. Catalá Spain
Tatiana M. Tsagaraki Greece
Sun‐Yong Ha South Korea
Dong Sun China
KR Carman United States
Sébastien Mas France
Jean‐Claude Romano France
Kristen M. Reifel United States
Eva Mayol relative to John W. Runcie Australia John W. Runcie's profile →
Citations per field
00.5×1.5×2.1×
John W. Runcie · 1×
Citations per year

Countries citing papers authored by Eva Mayol

Since Specialization
Citations

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

Fields of papers citing papers by Eva Mayol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2015241
2 2017141
3 2011107
4 201473
5 201447
6 201220
7 201213
8 20111
9 20101
10 19991

About Eva Mayol

Eva Mayol is a scholar working on Oceanography, Ecology, Global and Planetary Change, Aquatic Science and Health, Toxicology and Mutagenesis, having authored 10 papers that have together received 645 indexed citations. Recurring topics across this work include Marine and coastal ecosystems (5 papers), Microbial Community Ecology and Physiology (4 papers), Marine Biology and Ecology Research (4 papers), Ocean Acidification Effects and Responses (4 papers), Marine Bivalve and Aquaculture Studies (2 papers), Seaweed-derived Bioactive Compounds (1 paper), Coral and Marine Ecosystems Studies (1 paper) and Indoor Air Quality and Microbial Exposure (1 paper). The work is most often cited by research in Oceanography (368 citations), Ecology (298 citations), Health, Toxicology and Mutagenesis (132 citations), Environmental Chemistry (88 citations) and Global and Planetary Change (124 citations). Eva Mayol has collaborated with scholars based in Spain, Chile and Australia. Frequent co-authors include Carlos M. Duarte, Jesús M. Arrieta, Gerhard J. Herndl, Thorsten Dittmar, Roberta L. Hansman, Sergio Ruíz‐Halpern, Jordi Dachs, Neus Garcías-Bonet, V.M. Benítez‐Barrios and María A. Jiménez. Their work appears in journals such as Biogeosciences, Journal of Geophysical Research Atmospheres, Science, Nature Communications and Copeia.

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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