J Romero-Vivas

19 total papers · 1.1k total citations
14 papers, 867 citations indexed

About

J Romero-Vivas is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, J Romero-Vivas has authored 14 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Epidemiology and 4 papers in Molecular Medicine. Recurrent topics in J Romero-Vivas's work include Antimicrobial Resistance in Staphylococcus (5 papers), Antibiotic Resistance in Bacteria (4 papers) and Infective Endocarditis Diagnosis and Management (3 papers). J Romero-Vivas is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (5 papers), Antibiotic Resistance in Bacteria (4 papers) and Infective Endocarditis Diagnosis and Management (3 papers). J Romero-Vivas collaborates with scholars based in Spain. J Romero-Vivas's co-authors include Juan J. Picazo, Margarita Rubio Alonso, Miguel González, Carmen Cagigas Fernández, Claudia Aura Gonzalez, Octavio Corral, Emilio Bouza, J Martínez-Beltrán, M. A. Meseguer and Antonio Guerrero and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

J Romero-Vivas

14 papers receiving 821 citations

Author Peers

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

Author Last Decade Papers Cites
J Romero-Vivas 564 405 316 153 142 14 867
Jennifer Hanrahan 703 1.2× 219 0.5× 306 1.0× 81 0.5× 194 1.4× 24 1.0k
Marian Matushek 574 1.0× 217 0.5× 292 0.9× 123 0.8× 258 1.8× 10 964
Eric Cui 558 1.0× 198 0.5× 223 0.7× 129 0.8× 91 0.6× 16 850
Patricia Triplett 843 1.5× 387 1.0× 378 1.2× 91 0.6× 73 0.5× 7 1.1k
R. R. Muder 251 0.4× 365 0.9× 167 0.5× 203 1.3× 183 1.3× 13 955
Virginia H. Morthland 510 0.9× 323 0.8× 275 0.9× 64 0.4× 140 1.0× 22 922
Lidija T. Zarins 776 1.4× 463 1.1× 230 0.7× 82 0.5× 94 0.7× 15 985
Victor Tucci 570 1.0× 306 0.8× 318 1.0× 97 0.6× 47 0.3× 12 879
Julie Lankiewicz 506 0.9× 198 0.5× 212 0.7× 135 0.9× 81 0.6× 19 877
Rebecca E. Kaganov 482 0.9× 179 0.4× 202 0.6× 122 0.8× 75 0.5× 15 813

Countries citing papers authored by J Romero-Vivas

Since Specialization
Citations

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

Fields of papers citing papers by J Romero-Vivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Romero-Vivas. 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 J Romero-Vivas. The network helps show where J Romero-Vivas may publish in the future.

Co-authorship network of co-authors of J Romero-Vivas

This figure shows the co-authorship network connecting the top 25 collaborators of J Romero-Vivas. A scholar is included among the top collaborators of J Romero-Vivas 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 J Romero-Vivas. J Romero-Vivas 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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