José Guevara-Coto

30 total papers · 756 total citations
13 papers, 392 citations indexed

About

José Guevara-Coto is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, José Guevara-Coto has authored 13 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Neurology. Recurrent topics in José Guevara-Coto's work include COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). José Guevara-Coto is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). José Guevara-Coto collaborates with scholars based in Costa Rica, United States and Germany. José Guevara-Coto's co-authors include Rodrígo Mora, Ram Yogendra, Bruce K. Patterson, Edgar B. Francisco, Purvi Parikh, Javier Mora, Amruta Pise, Eric Hall, Mónica Herrera and Timothy J. Triche and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and BMC Genomics.

In The Last Decade

José Guevara-Coto

13 papers receiving 384 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
José Guevara-Coto 213 182 81 43 39 13 392
Jessica I. Höll 217 1.0× 165 0.9× 70 0.9× 56 1.3× 37 0.9× 8 356
Amruta Pise 201 0.9× 178 1.0× 84 1.0× 27 0.6× 38 1.0× 6 412
Moritz Meyer 132 0.6× 119 0.7× 132 1.6× 43 1.0× 21 0.5× 8 407
Lavanya Visvabharathy 104 0.5× 122 0.7× 78 1.0× 98 2.3× 32 0.8× 22 348
Marco Mattioli 117 0.5× 155 0.9× 106 1.3× 88 2.0× 26 0.7× 16 411
Stefan Angermair 221 1.0× 261 1.4× 28 0.3× 32 0.7× 41 1.1× 24 405
Maitray A. Patel 154 0.7× 188 1.0× 76 0.9× 29 0.7× 18 0.5× 20 367
Giulia Renisi 262 1.2× 253 1.4× 31 0.4× 14 0.3× 46 1.2× 18 432
Tuğba Öztürk 155 0.7× 188 1.0× 65 0.8× 28 0.7× 84 2.2× 17 442
Babak Ebrahimi 120 0.6× 216 1.2× 57 0.7× 32 0.7× 13 0.3× 20 398

Countries citing papers authored by José Guevara-Coto

Since Specialization
Citations

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

Fields of papers citing papers by José Guevara-Coto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Guevara-Coto. 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 Guevara-Coto. The network helps show where José Guevara-Coto may publish in the future.

Co-authorship network of co-authors of José Guevara-Coto

This figure shows the co-authorship network connecting the top 25 collaborators of José Guevara-Coto. A scholar is included among the top collaborators of José Guevara-Coto 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 Guevara-Coto. José Guevara-Coto 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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