María D. Mayán

1.5k total citations
43 papers, 1.1k citations indexed

About

María D. Mayán is a scholar working on Molecular Biology, Rheumatology and Dermatology. According to data from OpenAlex, María D. Mayán has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 7 papers in Rheumatology and 4 papers in Dermatology. Recurrent topics in María D. Mayán's work include Connexins and lens biology (21 papers), Osteoarthritis Treatment and Mechanisms (7 papers) and Genomics and Chromatin Dynamics (6 papers). María D. Mayán is often cited by papers focused on Connexins and lens biology (21 papers), Osteoarthritis Treatment and Mechanisms (7 papers) and Genomics and Chromatin Dynamics (6 papers). María D. Mayán collaborates with scholars based in Spain, United Kingdom and United States. María D. Mayán's co-authors include Eduardo Fonseca, Marta Varela-Eirín, José Ramón Caeiro, Paula Carpintero-Fernández, Luís Aragón, Raquel Gago‐Fuentes, Trond Aasen, Arantxa Tabernero, Manuel Collado and Jesús Loureiro and has published in prestigious journals such as Nature, PLoS ONE and Nature Cell Biology.

In The Last Decade

María D. Mayán

42 papers receiving 1.1k citations

Peers

María D. Mayán
Comparison fields: 5 of 88
  • Molecular Biology 806
  • Rheumatology 308
  • Cancer Research 145
  • Cell Biology 105
  • Oncology 72
Replace Karen L. Posey with:
Karen L. Posey United States
J. Sherwood Germany
Daniele Belluoccio Australia
Adelheid Korb‐Pap Germany
Yuta Onodera Japan
S. Grässel Germany
Giovanna Nalesso United Kingdom
Jun Long China
Shoko Yamamoto Japan
T. Sunyer United States
Karen L. Posey United States View profile →
Citations per field, relative to María D. Mayán
María D. Mayán · 1×
Citations per year, relative to María D. Mayán
María D. Mayán · 1×

Countries citing papers authored by María D. Mayán

Since Specialization
Citations

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

Fields of papers citing papers by María D. Mayán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María D. Mayán

This figure shows the co-authorship network connecting the top 25 collaborators of María D. Mayán. A scholar is included among the top collaborators of María D. Mayán based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with María D. Mayán. María D. Mayán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 3
3 7
4 11
5 49
6 16
7 1
8 14
9 3
10 1
11 82
12 23
13 158
14 48
15 34
16 1
17 2
18 6
19 102
20 7

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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