Mónica Herrera

27 total papers · 1.3k total citations
14 papers, 646 citations indexed

About

Mónica Herrera is a scholar working on Molecular Biology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Mónica Herrera has authored 14 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Molecular Medicine and 3 papers in Infectious Diseases. Recurrent topics in Mónica Herrera's work include Antibiotic Resistance in Bacteria (4 papers), Prenatal Screening and Diagnostics (2 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). Mónica Herrera is often cited by papers focused on Antibiotic Resistance in Bacteria (4 papers), Prenatal Screening and Diagnostics (2 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). Mónica Herrera collaborates with scholars based in United States, Colombia and France. Mónica Herrera's co-authors include Brian L. Wickes, James H. Jorgensen, James S. Lewis, Jan E. Patterson, Joyce Eskdale, Juan‐Manuel Anaya, Grant Gallagher, P Corréa, Paul T. Scott and Rodrígo Mora and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Mónica Herrera

13 papers receiving 621 citations

Hit Papers

Persistence of SARS CoV-2... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Mónica Herrera 230 198 118 110 105 14 646
A. Benouda 314 1.4× 287 1.4× 115 1.0× 144 1.3× 137 1.3× 18 750
Maria Maniati 127 0.6× 164 0.8× 55 0.5× 111 1.0× 175 1.7× 24 673
Laura Berneking 94 0.4× 92 0.5× 93 0.8× 68 0.6× 95 0.9× 25 585
Marilynn R. Fairfax 238 1.0× 86 0.4× 65 0.6× 252 2.3× 123 1.2× 33 728
Fabrizio Taglietti 171 0.7× 203 1.0× 16 0.1× 186 1.7× 116 1.1× 32 641
P Fernández-Viladrich 123 0.5× 97 0.5× 68 0.6× 301 2.7× 44 0.4× 24 679
Mi Young Ahn 274 1.2× 43 0.2× 118 1.0× 96 0.9× 111 1.1× 34 684
HENRY F. RETAILLIAU 277 1.2× 80 0.4× 302 2.6× 282 2.6× 56 0.5× 9 792
Ronen Mosseri 73 0.3× 200 1.0× 12 0.1× 109 1.0× 262 2.5× 14 662
Stéphanie Pons 284 1.2× 40 0.2× 167 1.4× 145 1.3× 176 1.7× 22 735

Countries citing papers authored by Mónica Herrera

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Herrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Herrera

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