Willi Quino

25 total papers · 497 total citations
20 papers, 346 citations indexed

About

Willi Quino is a scholar working on Infectious Diseases, Food Science and Molecular Biology. According to data from OpenAlex, Willi Quino has authored 20 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Food Science and 5 papers in Molecular Biology. Recurrent topics in Willi Quino's work include Salmonella and Campylobacter epidemiology (6 papers), Bacteriophages and microbial interactions (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Willi Quino is often cited by papers focused on Salmonella and Campylobacter epidemiology (6 papers), Bacteriophages and microbial interactions (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Willi Quino collaborates with scholars based in Peru, United States and United Kingdom. Willi Quino's co-authors include Robert H. Gilman, Carlton A. Evans, Ronnie G. Gavilán, A. Roderick Escombe, Bailey W. Mitchell, Patricia Sheen, Catherine J. Noakes, Armando E. González, Marcos Ñavincopa and Eduardo Ticona and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Willi Quino

19 papers receiving 332 citations

Author Peers

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

Author						Papers	Cites
Willi Quino	155	91	81	81	77	20	346
Bengt Gästrin	62 0.4×	104 1.1×	92 1.1×	54 0.7×	29 0.4×	15	361
Nanda Hemvani	90 0.6×	58 0.6×	38 0.5×	60 0.7×	30 0.4×	28	300
M Marling-Cason	102 0.7×	77 0.8×	58 0.7×	26 0.3×	58 0.8×	12	389
Jacobo Sabbaj	148 1.0×	161 1.8×	68 0.8×	46 0.6×	44 0.6×	13	389
L. H. Mattman	141 0.9×	80 0.9×	41 0.5×	31 0.4×	19 0.2×	25	342
Dac Cam Phung	95 0.6×	28 0.3×	182 2.2×	39 0.5×	102 1.3×	14	387
Kandace Rogers	120 0.8×	70 0.8×	54 0.7×	46 0.6×	26 0.3×	29	370
A. G. Towers	142 0.9×	46 0.5×	101 1.2×	104 1.3×	30 0.4×	19	392
D. E. Healing	53 0.3×	73 0.8×	36 0.4×	44 0.5×	18 0.2×	14	301
Elmer W. Koneman	73 0.5×	72 0.8×	44 0.5×	22 0.3×	58 0.8×	26	362

Countries citing papers authored by Willi Quino

Since Specialization

Citations

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

Fields of papers citing papers by Willi Quino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willi Quino

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