María E. Lanio

2.3k citations
87 papers · 2.1k · h-index 25

Impact in

Papers in

María E. Lanio

85 papers receiving 2.0k citations

Peers

María E. Lanio
Comparison fields: 5 of 85
  • Paleontology 1.2k
  • Biotechnology 408
  • Environmental Chemistry 375
  • Microbiology 150
  • Physiology 427
Replace Carlos Álvarez with:
Carlos Álvarez Cuba
Jože Pungerčar Slovenia
Uris Ros Germany
Franc Gubenšek Slovenia
Yamileth Angulo Costa Rica
Vladimir Besada Cuba
Gary Jim Calton United States
Koldo Morante Spain
Mohamed El Ayeb Tunisia
Maxey C.M. Chung Singapore
María E. Lanio relative to Carlos Álvarez Cuba Carlos Álvarez's profile →
Citations per field
00.5×1.5×1.8×
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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001167
2 1996162
3 2001113
4 1998106
5 200990
6 199585
7 200160
8 200656
9 200156
10 200551
11 199951
12 200245
13 201443
14 201742
15 200439
16 200338
17 201534
18 201333
19 201532
20 201531

About María E. Lanio

María E. Lanio is a scholar working on Paleontology, Environmental Chemistry, Biotechnology, Physiology and Molecular Biology, having authored 87 papers that have together received 2.1k indexed citations. Recurring topics across this work include Marine Invertebrate Physiology and Ecology (65 papers), Lipid Membrane Structure and Behavior (34 papers), Erythrocyte Function and Pathophysiology (22 papers), Marine Toxins and Detection Methods (17 papers), Marine Sponges and Natural Products (13 papers), Hemoglobin structure and function (9 papers), Immunotherapy and Immune Responses (8 papers) and Venomous Animal Envenomation and Studies (6 papers). The work is most often cited by research in Paleontology (1.2k citations), Biotechnology (408 citations), Environmental Chemistry (375 citations), Microbiology (150 citations) and Physiology (427 citations). María E. Lanio has collaborated with scholars based in Cuba, Brazil and Chile. Frequent co-authors include Carlos Álvarez, Mayra Tejuca, Fabiola Pazos, Gianfranco Menestrina, Mauro Dalla Serra, Eduardo A Lissi, Carlos Álvarez, Uris Ros, Diana Martínez Hernández and José M. Mancheño. Their work appears in journals such as Toxicon, Biochimie, Chemistry and Physics of Lipids, Biochimica et Biophysica Acta (BBA) - Biomembranes and The Protein Journal.

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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