José M. Nicolás

109 total papers · 5.3k total citations
55 papers, 2.7k citations indexed

About

José M. Nicolás is a scholar working on Pathology and Forensic Medicine, Epidemiology and Infectious Diseases. According to data from OpenAlex, José M. Nicolás has authored 55 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 11 papers in Epidemiology and 9 papers in Infectious Diseases. Recurrent topics in José M. Nicolás's work include Alcohol Consumption and Health Effects (8 papers), Pneumonia and Respiratory Infections (5 papers) and Nosocomial Infections in ICU (5 papers). José M. Nicolás is often cited by papers focused on Alcohol Consumption and Health Effects (8 papers), Pneumonia and Respiratory Infections (5 papers) and Nosocomial Infections in ICU (5 papers). José M. Nicolás collaborates with scholars based in Spain, United States and Italy. José M. Nicolás's co-authors include Antoní Torres, Santiago Nogué, Torsten Bauer, Mitra B. Drakulović, Miquel Ferrer, Ramón Estruch, Emília Antúnez, Á Urbano-Márquez, Emilio Sacanella and Joaquim Fernández‐Solà and has published in prestigious journals such as The Lancet, Blood and PLoS ONE.

In The Last Decade

José M. Nicolás

55 papers receiving 2.6k citations

Hit Papers

Supine body position as a... 1999 2026 2008 2017 1999 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
José M. Nicolás 827 688 655 338 326 55 2.7k
I. McA. Ledingham 573 0.7× 427 0.6× 605 0.9× 127 0.4× 203 0.6× 117 3.1k
Jyrki Tenhunen 981 1.2× 787 1.1× 1.6k 2.4× 331 1.0× 128 0.4× 109 4.2k
Dylan W. de Lange 853 1.0× 514 0.7× 1.0k 1.5× 272 0.8× 188 0.6× 206 3.8k
Antoine Schneider 827 1.0× 683 1.0× 933 1.4× 244 0.7× 92 0.3× 132 3.6k
Fabienne Tamion 648 0.8× 947 1.4× 459 0.7× 167 0.5× 224 0.7× 128 3.1k
Theresa O’Connor 357 0.4× 533 0.8× 596 0.9× 98 0.3× 290 0.9× 60 4.3k
Zhen Cheng 1.2k 1.4× 704 1.0× 1.6k 2.4× 274 0.8× 93 0.3× 35 4.6k
David Brealey 1.2k 1.4× 638 0.9× 1.4k 2.1× 344 1.0× 109 0.3× 80 4.1k
Michael W. Donnino 747 0.9× 780 1.1× 1.2k 1.8× 588 1.7× 177 0.5× 91 5.5k
Hans Pargger 808 1.0× 407 0.6× 716 1.1× 639 1.9× 124 0.4× 95 3.4k

Countries citing papers authored by José M. Nicolás

Since Specialization
Citations

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

Fields of papers citing papers by José M. Nicolás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Nicolás. 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 José M. Nicolás. The network helps show where José M. Nicolás may publish in the future.

Co-authorship network of co-authors of José M. Nicolás

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

All Works

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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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