Roberto L. Caccuri

22 total papers · 521 total citations
20 papers, 439 citations indexed

About

Roberto L. Caccuri is a scholar working on Epidemiology, Infectious Diseases and Physiology. According to data from OpenAlex, Roberto L. Caccuri has authored 20 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Infectious Diseases and 5 papers in Physiology. Recurrent topics in Roberto L. Caccuri's work include Alzheimer's disease research and treatments (5 papers), Trypanosoma species research and implications (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Roberto L. Caccuri is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Trypanosoma species research and implications (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Roberto L. Caccuri collaborates with scholars based in Argentina, United States and Italy. Roberto L. Caccuri's co-authors include Daniel O. Sordelli, Fernanda R. Buzzola, Lorena Tuchscherr, Mónica N. Giacomodonato, M. Cristina Cerquetti, Sabine Sarnacki, Lucía Álvarez, Jean C. Lee, María I. Berría and Salvatore Rubino and has published in prestigious journals such as Infection and Immunity, Microbiology and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Roberto L. Caccuri

19 papers receiving 434 citations

Author Peers

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

Author						Papers	Cites
Roberto L. Caccuri	150	116	87	80	57	20	439
Julie Lamontagne	138 0.9×	36 0.3×	40 0.5×	98 1.2×	19 0.3×	10	422
Jing Gao	109 0.7×	63 0.5×	25 0.3×	139 1.7×	30 0.5×	24	406
B. K. Chandrasekhar Sagar	136 0.9×	22 0.2×	28 0.3×	54 0.7×	26 0.5×	21	378
Nabonita Sengupta	146 1.0×	94 0.8×	14 0.2×	35 0.4×	45 0.8×	11	386
Ewa Johansson	172 1.1×	59 0.5×	17 0.2×	65 0.8×	42 0.7×	33	491
Whitlock Rh	58 0.4×	86 0.7×	22 0.3×	127 1.6×	24 0.4×	27	424
Jennifer C. Miguel	114 0.8×	50 0.4×	39 0.4×	22 0.3×	60 1.1×	11	441
Caroline Rizzi	111 0.7×	151 1.3×	33 0.4×	57 0.7×	28 0.5×	21	376
Mianmian Chen	143 1.0×	65 0.6×	42 0.5×	27 0.3×	21 0.4×	39	421
Anne Busch	229 1.5×	49 0.4×	51 0.6×	26 0.3×	12 0.2×	35	382

Countries citing papers authored by Roberto L. Caccuri

Since Specialization

Citations

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

Fields of papers citing papers by Roberto L. Caccuri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto L. Caccuri. 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 Roberto L. Caccuri. The network helps show where Roberto L. Caccuri may publish in the future.

Co-authorship network of co-authors of Roberto L. Caccuri

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto L. Caccuri. A scholar is included among the top collaborators of Roberto L. Caccuri 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 Roberto L. Caccuri. Roberto L. Caccuri 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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