John J. Boitano

42 total papers · 479 total citations
27 papers, 392 citations indexed

About

John J. Boitano is a scholar working on Infectious Diseases, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, John J. Boitano has authored 27 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Cognitive Neuroscience and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in John J. Boitano's work include Memory and Neural Mechanisms (7 papers), Parasitic Diseases Research and Treatment (6 papers) and Parasite Biology and Host Interactions (4 papers). John J. Boitano is often cited by papers focused on Memory and Neural Mechanisms (7 papers), Parasitic Diseases Research and Treatment (6 papers) and Parasite Biology and Host Interactions (4 papers). John J. Boitano collaborates with scholars based in United States, Thailand and Czechia. John J. Boitano's co-authors include Joel F. Lubar, Robert L. Isaacson, Sirichit Wongkamchai, Eliot L. Gardner, Elizabeth B. Gardner, Anchalee Tungtrongchitr, Aisha A. Seyal, Wej Choochote, Suporn Foongladda and Paron Dekumyoy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Allergy and Clinical Immunology and Physiology & Behavior.

In The Last Decade

John J. Boitano

26 papers receiving 366 citations

Author Peers

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

Author						Papers	Cites
John J. Boitano	167	123	61	60	50	27	392
S Higuchi	190 1.1×	108 0.9×	54 0.9×	95 1.6×	12 0.2×	24	403
Ywlliane da Silva Rodrigues Meurer	70 0.4×	119 1.0×	7 0.1×	62 1.0×	42 0.8×	31	394
Marcin Bocheński	45 0.3×	175 1.4×	27 0.4×	53 0.9×	12 0.2×	29	398
Alwynelle S. Ahl	66 0.4×	37 0.3×	18 0.3×	13 0.2×	8 0.2×	21	398
L. A. Gerlinskaya	16 0.1×	22 0.2×	28 0.5×	26 0.4×	23 0.5×	51	352
Mikael Nygård	114 0.7×	71 0.6×	12 0.2×	22 0.4×	37 0.7×	11	445
Madlaina Boillat	22 0.1×	45 0.4×	84 1.4×	77 1.3×	10 0.2×	7	409
G Kolmodin	87 0.5×	155 1.3×	85 1.4×	100 1.7×	4 0.1×	15	445
M Banet	20 0.1×	39 0.3×	35 0.6×	13 0.2×	64 1.3×	27	391
Vanesa De la Cruz	252 1.5×	281 2.3×	17 0.3×	52 0.9×	28 0.6×	10	443

Countries citing papers authored by John J. Boitano

Since Specialization

Citations

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

Fields of papers citing papers by John J. Boitano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Boitano. 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 John J. Boitano. The network helps show where John J. Boitano may publish in the future.

Co-authorship network of co-authors of John J. Boitano

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Boitano. A scholar is included among the top collaborators of John J. Boitano 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 John J. Boitano. John J. Boitano 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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