Marcela Cucher

50 total papers · 2.1k total citations
38 papers, 962 citations indexed

About

Marcela Cucher is a scholar working on Parasitology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Marcela Cucher has authored 38 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Parasitology, 27 papers in Pathology and Forensic Medicine and 18 papers in Surgery. Recurrent topics in Marcela Cucher's work include Parasitic infections in humans and animals (27 papers), Parasitic Infections and Diagnostics (25 papers) and Congenital Anomalies and Fetal Surgery (18 papers). Marcela Cucher is often cited by papers focused on Parasitic infections in humans and animals (27 papers), Parasitic Infections and Diagnostics (25 papers) and Congenital Anomalies and Fetal Surgery (18 papers). Marcela Cucher collaborates with scholars based in Argentina, Uruguay and Germany. Marcela Cucher's co-authors include Mara Cecília Rosenzvit, Natalia Macchiaroli, Laura Kamenetzky, Lucas Maldonado, Federico Camicia, Gustavo Mourglia‐Ettlin, Klaus Brehm, Sebastián Asurmendi, Sylvia Dematteis and Antonio Marcilla and has published in prestigious journals such as The Journal of Immunology, BMC Genomics and PLoS neglected tropical diseases.

In The Last Decade

Marcela Cucher

37 papers receiving 955 citations

Author Peers

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

Author						Papers	Cites
Marcela Cucher	564	543	365	331	179	38	962
Mahmoud Mahami‐Oskouei	656 1.2×	399 0.7×	263 0.7×	178 0.5×	141 0.8×	69	1.0k
Rodolfo Paredes	304 0.5×	365 0.7×	282 0.8×	134 0.4×	156 0.9×	52	997
Patricia Tato	446 0.8×	538 1.0×	205 0.6×	123 0.4×	130 0.7×	42	838
Raúl J. Bobes	354 0.6×	406 0.7×	232 0.6×	200 0.6×	131 0.7×	59	821
Marisela Hernández	475 0.8×	606 1.1×	273 0.7×	212 0.6×	186 1.0×	50	1.1k
Cecilia Casaravilla	475 0.8×	503 0.9×	243 0.7×	105 0.3×	147 0.8×	31	810
G.B.L. Harrison	548 1.0×	331 0.6×	141 0.4×	254 0.8×	156 0.9×	30	992
Sutas Suttiprapa	772 1.4×	89 0.2×	148 0.4×	408 1.2×	227 1.3×	65	1.1k
Jef Brandt	391 0.7×	506 0.9×	323 0.9×	174 0.5×	103 0.6×	30	1000
Andrea Toledo	367 0.7×	482 0.9×	230 0.6×	162 0.5×	131 0.7×	39	864

Countries citing papers authored by Marcela Cucher

Since Specialization

Citations

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

Fields of papers citing papers by Marcela Cucher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcela Cucher

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