Patricia Esperón

63 total papers · 1.3k total citations
30 papers, 158 citations indexed

About

Patricia Esperón is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Patricia Esperón has authored 30 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Patricia Esperón's work include Acute Lymphoblastic Leukemia research (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Genetic factors in colorectal cancer (3 papers). Patricia Esperón is often cited by papers focused on Acute Lymphoblastic Leukemia research (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Genetic factors in colorectal cancer (3 papers). Patricia Esperón collaborates with scholars based in Uruguay, France and United States. Patricia Esperón's co-authors include Víctor Raggio, Margot Paulino, Claudio Scazzocchio, Leticia Fernández, Mario Stoll, Pierre Marquet, Ofelia Noceti, Ricardo Ehrlich, Beatríz Garat and Solange Gerona and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical Chemistry.

In The Last Decade

Patricia Esperón

27 papers receiving 157 citations

Author Peers

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

Author						Papers	Cites
Patricia Esperón	42	41	24	23	22	30	158
Tomoko Yokosuka	51 1.2×	45 1.1×	12 0.5×	49 2.1×	57 2.6×	27	267
Ryosuke Kajiwara	45 1.1×	50 1.2×	15 0.6×	54 2.3×	89 4.0×	23	263
Kyung Ran Jun	41 1.0×	14 0.3×	55 2.3×	33 1.4×	18 0.8×	44	254
Michael J. Martens	30 0.7×	35 0.9×	9 0.4×	20 0.9×	122 5.5×	30	186
Jong‐Mi Lee	54 1.3×	22 0.5×	19 0.8×	13 0.6×	104 4.7×	30	245
Katharina Kronenberg	77 1.8×	15 0.4×	20 0.8×	5 0.2×	15 0.7×	20	242
Michelle Hudspeth	62 1.5×	22 0.5×	19 0.8×	38 1.7×	57 2.6×	37	208
Jean‐Baptiste Gibier	109 2.6×	10 0.2×	24 1.0×	9 0.4×	19 0.9×	36	237
Pei‐Chi Kao	74 1.8×	20 0.5×	41 1.7×	28 1.2×	17 0.8×	26	228
Nadira Duraković	40 1.0×	25 0.6×	11 0.5×	12 0.5×	132 6.0×	35	259

Countries citing papers authored by Patricia Esperón

Since Specialization

Citations

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

Fields of papers citing papers by Patricia Esperón

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Esperón

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