María Nácher

1.5k total citations · 1 hit paper
13 papers, 970 citations indexed

About

María Nácher is a scholar working on Physiology, Surgery and Endocrine and Autonomic Systems. According to data from OpenAlex, María Nácher has authored 13 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Surgery and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in María Nácher's work include Obstructive Sleep Apnea Research (5 papers), Cell Adhesion Molecules Research (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). María Nácher is often cited by papers focused on Obstructive Sleep Apnea Research (5 papers), Cell Adhesion Molecules Research (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). María Nácher collaborates with scholars based in Spain, Australia and United States. María Nácher's co-authors include Anna Serrano‐Mollar, Andrés Hidalgo, Josep M. Montserrat, Ramón Farré, Jan Rossaint, Alexander Zarbock, Yoshinori Fukui, María Isabel Cuartero, Jesús Ruı́z-Cabello and Izaskun Bilbao and has published in prestigious journals such as Science, American Journal of Respiratory and Critical Care Medicine and American Journal Of Pathology.

In The Last Decade

María Nácher

12 papers receiving 965 citations

Hit Papers

Neutrophils scan for activated platelets to initiate infl... 2014 2026 2018 2022 2014 100 200 300 400

Peers

María Nácher
Comparison fields: 5 of 93
  • Immunology 294
  • Physiology 266
  • Pulmonary and Respiratory Medicine 262
  • Molecular Biology 165
  • Endocrine and Autonomic Systems 156
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Citations per field, relative to María Nácher
María Nácher · 1×
Citations per year, relative to María Nácher
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Countries citing papers authored by María Nácher

Since Specialization
Citations

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

Fields of papers citing papers by María Nácher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Nácher

This figure shows the co-authorship network connecting the top 25 collaborators of María Nácher. A scholar is included among the top collaborators of María Nácher 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 Nácher. María Nácher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 1
2 65
3 35
4
Neutrophils scan for activated platelets to initiate inflammation breakdown →
486
5 40
6 5
7 38
8 137
9 68
10 5
11 84
12 6
13
El discurs mèdic sobre l'extensió dels arrossars valencians com a forma de lluita contra el paludisme (1880-1936)
0

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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