María E. Lanio

2.3k citations
85 papers · 1.9k · h-index 25

Impact in

Papers in

María E. Lanio

83 papers receiving 1.9k citations

Peers

María E. Lanio
Comparison fields: 5 of 84
  • Paleontology 1.1k
  • Biotechnology 393
  • Environmental Chemistry 338
  • Microbiology 158
  • Molecular Biology 1.1k
Replace Carlos Álvarez with:
Carlos Álvarez Cuba
Fabiola Pazos Cuba
Jože Pungerčar Slovenia
Franc Gubenšek Slovenia
Uris Ros Germany
Vladimir Besada Cuba
Gary J. Calton United States
Koldo Morante Japan
Markus Hartl Austria
Jean‐Claude Boulain France
María E. Lanio relative to Carlos Álvarez Cuba Carlos Álvarez's profile →
Citations per field
00.5×1.5×1.9×
Carlos Álvarez · 1×
Citations per year

Countries citing papers authored by María E. Lanio

Since Specialization
Citations

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

Fields of papers citing papers by María E. Lanio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001154
2 1996154
3 2001109
4 1998101
5 200984
6 199583
7 200155
8 200153
9 200651
10 199949
11 200548
12 200245
13 201738
14 201437
15 200436
16 200333
17 201332
18 201530
19 201529
20 201529

About María E. Lanio

María E. Lanio is a scholar working on Paleontology, Molecular Biology, Physiology, Environmental Chemistry and Biotechnology, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Marine Invertebrate Physiology and Ecology (64 papers), Lipid Membrane Structure and Behavior (31 papers), Erythrocyte Function and Pathophysiology (21 papers), Marine Toxins and Detection Methods (18 papers), Marine Sponges and Natural Products (15 papers), Hemoglobin structure and function (9 papers), Immunotherapy and Immune Responses (8 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Paleontology (1.1k citations), Biotechnology (393 citations), Environmental Chemistry (338 citations), Microbiology (158 citations) and Molecular Biology (1.1k citations). María E. Lanio has collaborated with scholars based in Cuba, Brazil and Chile. Frequent co-authors include Carlos Álvarez, Fabiola Pazos, Mayra Tejuca, Diana Martínez Hernández, Carlos Álvarez, Gianfranco Menestrina, Mauro Dalla Serra, E. A. Lissi, Uris Ros and José M. Mancheño. Their work appears in journals such as Toxicon, Biochimie, Biochimica et Biophysica Acta (BBA) - Biomembranes, Chemistry and Physics of Lipids and Frontiers in Immunology.

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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