María Posada-Ayala

1.2k citations
25 papers · 881 indexed · h-index 16
Topics
Metabolomics and Mass Spectrometry Studies (4 papers)Advanced Proteomics Techniques and Applications (4 papers)Cannabis and Cannabinoid Research (4 papers)
Partner nations
SpainMexicoGermany

In The Last Decade

María Posada-Ayala

25 papers receiving 871 citations

Peers

María Posada-Ayala
Comparison fields: 5 of 94
  • Molecular Biology 517
  • Nephrology 164
  • Physiology 112
  • Cancer Research 107
  • Spectroscopy 105
Replace Michelle T. Barati with:
Michelle T. Barati United States
Elizabeth Kensicki United States
Xiubin Liang China
Juergen Graessler Germany
Jessica O. Becker United States
Fengjuan Huang China
Marika Collin United Kingdom
Grażyna Nowak United States
Robert T. Currin United States
Jun Gu China
María Posada-Ayala relative to Michelle T. Barati United States Michelle T. Barati's profile →
Citations per field
00.5×1.7×
Michelle T. Barati · 1×
Citations per year

Countries citing papers authored by María Posada-Ayala

Since Specialization
Citations

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

Fields of papers citing papers by María Posada-Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Posada-Ayala

This figure shows the co-authorship network connecting the top 25 collaborators of María Posada-Ayala. A scholar is included among the top collaborators of María Posada-Ayala 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 Posada-Ayala. María Posada-Ayala 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
#WorkIndexed citations
1 3
2 3
3 9
4 2
5 15
6 22
7 28
8 28
9 1
10 19
11 40
12 43
13 4
14 42
15 127
16 135
17 19
18 48
19 52
20 81

About María Posada-Ayala

María Posada-Ayala is a scholar working on Nephrology, Pharmacology and Cell Biology, having authored 25 papers that have together received 881 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Cannabis and Cannabinoid Research (4 papers). The work is most often cited by research in Nephrology (164 citations), Molecular Biology (517 citations) and Cancer Research (107 citations). María Posada-Ayala has collaborated with scholars based in Spain, Mexico and Germany. Frequent co-authors include Gloria Álvarez‐Llamas, Fernando Vivanco, Irene Zubiri, Fernando de la Cuesta, María G. Barderas, Alberto Ortíz, Marta Martin‐Lorenzo, Beatriz Fernández‐Fernández, Laura Gonzalez‐Calero and Carlos M. Laborde. Their work appears in journals such as PLoS ONE, Scientific Reports and Food Chemistry.

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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