Yamil Gerena

37 total papers · 496 total citations
24 papers, 373 citations indexed

About

Yamil Gerena is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Virology. According to data from OpenAlex, Yamil Gerena has authored 24 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Virology. Recurrent topics in Yamil Gerena's work include HIV Research and Treatment (7 papers), HIV-related health complications and treatments (6 papers) and Renin-Angiotensin System Studies (5 papers). Yamil Gerena is often cited by papers focused on HIV Research and Treatment (7 papers), HIV-related health complications and treatments (6 papers) and Renin-Angiotensin System Studies (5 papers). Yamil Gerena collaborates with scholars based in Puerto Rico and United States. Yamil Gerena's co-authors include Linette Castillo‐Pichardo, Suranganie Dharmawardhane, Walmor C. De Mello, Valerie Wojna, Richard L. Skolasky, Loyda M. Meléndez, Eliud Hernandez O'Farril, José R Rodríguez-Medina, M. Blanco and Luis A. Cubano and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Yamil Gerena

24 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Yamil Gerena 191 64 48 43 37 24 373
Serena Longo 153 0.8× 24 0.4× 22 0.5× 12 0.3× 17 0.5× 18 378
Sanjana Haque 235 1.2× 59 0.9× 14 0.3× 9 0.2× 43 1.2× 18 446
Stanley J. Kolis 101 0.5× 113 1.8× 12 0.3× 15 0.3× 50 1.4× 25 437
Lanĕ 181 0.9× 24 0.4× 17 0.4× 8 0.2× 8 0.2× 23 417
Michael Vetter 159 0.8× 101 1.6× 14 0.3× 24 0.6× 22 0.6× 18 400
William Mylott 163 0.9× 18 0.3× 29 0.6× 15 0.3× 84 2.3× 28 403
Sisi Liu 179 0.9× 11 0.2× 7 0.1× 11 0.3× 22 0.6× 32 375
Wanhua Yang 220 1.2× 14 0.2× 10 0.2× 4 0.1× 21 0.6× 24 383
Valentina Riva 153 0.8× 21 0.3× 4 0.1× 37 0.9× 11 0.3× 18 360
Jun‐Juan Zheng 169 0.9× 8 0.1× 22 0.5× 4 0.1× 20 0.5× 13 333

Countries citing papers authored by Yamil Gerena

Since Specialization
Citations

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

Fields of papers citing papers by Yamil Gerena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yamil Gerena

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