Claudia M. Espitia

109 total papers · 1.5k total citations
39 papers, 1.1k citations indexed

About

Claudia M. Espitia is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Claudia M. Espitia has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Epidemiology and 7 papers in Oncology. Recurrent topics in Claudia M. Espitia's work include Histone Deacetylase Inhibitors Research (7 papers), Protein Degradation and Inhibitors (7 papers) and Virus-based gene therapy research (7 papers). Claudia M. Espitia is often cited by papers focused on Histone Deacetylase Inhibitors Research (7 papers), Protein Degradation and Inhibitors (7 papers) and Virus-based gene therapy research (7 papers). Claudia M. Espitia collaborates with scholars based in United States, Japan and Brazil. Claudia M. Espitia's co-authors include Jennifer S. Carew, Steffan T. Nawrocki, Kevin R. Kelly, Francis J. Giles, Devalingam Mahalingam, Monica Mita, Alain C. Mita, Weiguo Zhao, Juan Esquivel and Steffan T. Nawrocki and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Claudia M. Espitia

31 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Claudia M. Espitia 642 400 269 158 111 39 1.1k
Subhendu Das 724 1.1× 447 1.1× 272 1.0× 49 0.3× 64 0.6× 26 1.4k
Shusaku Shibutani 663 1.0× 586 1.5× 104 0.4× 62 0.4× 118 1.1× 29 1.2k
Tsutomu Tanaka 423 0.7× 224 0.6× 121 0.4× 87 0.6× 119 1.1× 36 983
Honglin Li 985 1.5× 265 0.7× 288 1.1× 192 1.2× 95 0.9× 45 1.3k
Hélène Goulaouic 800 1.2× 288 0.7× 96 0.4× 71 0.4× 113 1.0× 28 1.5k
Andrea C. Becker 528 0.8× 398 1.0× 110 0.4× 145 0.9× 91 0.8× 29 1.2k
Maarten Hoek 715 1.1× 247 0.6× 254 0.9× 77 0.5× 92 0.8× 27 1.2k
D. Paul 685 1.1× 216 0.5× 196 0.7× 305 1.9× 95 0.9× 39 1.2k
Diego Sánchez‐Martínez 439 0.7× 228 0.6× 322 1.2× 67 0.4× 140 1.3× 26 1.0k
Thomas Falguières 702 1.1× 166 0.4× 270 1.0× 113 0.7× 43 0.4× 37 1.4k

Countries citing papers authored by Claudia M. Espitia

Since Specialization
Citations

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

Fields of papers citing papers by Claudia M. Espitia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia M. Espitia

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia M. Espitia. A scholar is included among the top collaborators of Claudia M. Espitia 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 Claudia M. Espitia. Claudia M. Espitia 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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2026