M. Ruiz

39 total papers · 696 total citations
23 papers, 543 citations indexed

About

M. Ruiz is a scholar working on Epidemiology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, M. Ruiz has authored 23 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 13 papers in Infectious Diseases and 7 papers in Molecular Medicine. Recurrent topics in M. Ruiz's work include Mycobacterium research and diagnosis (14 papers), Tuberculosis Research and Epidemiology (13 papers) and Antibiotic Resistance in Bacteria (7 papers). M. Ruiz is often cited by papers focused on Mycobacterium research and diagnosis (14 papers), Tuberculosis Research and Epidemiology (13 papers) and Antibiotic Resistance in Bacteria (7 papers). M. Ruiz collaborates with scholars based in Spain, United States and Peru. M. Ruiz's co-authors include Juan Carlos Rodrı́guez, Gloria Royo, Eduardo García-Pachón, Isabel Escribano, Armando E. González, Juan A. Jiménez, Manuela Verástegui, Holger Mayta, Héctor H. Garcı́a and Robert H. Gilman and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and International Journal of Antimicrobial Agents.

In The Last Decade

M. Ruiz

23 papers receiving 519 citations

Author Peers

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

Author Last Decade Papers Cites
M. Ruiz 358 308 114 111 90 23 543
Jill A. Nord 205 0.6× 184 0.6× 40 0.4× 79 0.7× 171 1.9× 18 530
Laura Nabarro 165 0.5× 85 0.3× 45 0.4× 69 0.6× 308 3.4× 26 608
Guy Baily 305 0.9× 265 0.9× 42 0.4× 44 0.4× 7 0.1× 24 495
Shue Ren Wann 219 0.6× 205 0.7× 202 1.8× 29 0.3× 15 0.2× 27 524
I Juhlin 272 0.8× 373 1.2× 118 1.0× 57 0.5× 25 0.3× 31 611
Walid Ben-Selma 230 0.6× 282 0.9× 87 0.8× 104 0.9× 95 1.1× 29 616
Junyan Qu 145 0.4× 253 0.8× 41 0.4× 196 1.8× 95 1.1× 35 609
Mao-Wang Ho 340 0.9× 291 0.9× 39 0.3× 108 1.0× 71 0.8× 27 611
Jürgen Rödel 202 0.6× 128 0.4× 62 0.5× 145 1.3× 70 0.8× 40 603
Wan Shik Shin 367 1.0× 202 0.7× 45 0.4× 179 1.6× 30 0.3× 32 609

Countries citing papers authored by M. Ruiz

Since Specialization
Citations

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

Fields of papers citing papers by M. Ruiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ruiz

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ruiz. A scholar is included among the top collaborators of M. Ruiz 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 M. Ruiz. M. Ruiz 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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