José D. Flores

52 total papers · 1.4k total citations
29 papers, 978 citations indexed

About

José D. Flores is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, José D. Flores has authored 29 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 14 papers in Genetics and 9 papers in Modeling and Simulation. Recurrent topics in José D. Flores's work include Evolution and Genetic Dynamics (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers) and Plant and animal studies (5 papers). José D. Flores is often cited by papers focused on Evolution and Genetic Dynamics (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers) and Plant and animal studies (5 papers). José D. Flores collaborates with scholars based in United States, Chile and Australia. José D. Flores's co-authors include Rodrigo Ramos‐Jiliberto, Fernanda S. Valdovinos, Eduardo González‐Olivares, Pablo Moisset de Espanés, Jaime Mena-Lorca, Kendall Atkinson, Alejandro Rojas‐Palma, Gerardo Chowell, Lone Simonsen and Cécile Viboud and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and The Journal of Infectious Diseases.

In The Last Decade

José D. Flores

29 papers receiving 940 citations

Author Peers

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

Author						Papers	Cites
José D. Flores	353	329	296	204	190	29	978
Zhenqing Li	381 1.1×	268 0.8×	193 0.7×	295 1.4×	179 0.9×	48	1.1k
Christina A. Cobbold	344 1.0×	169 0.5×	161 0.5×	173 0.8×	69 0.4×	35	920
Rongsong Liu	523 1.5×	301 0.9×	99 0.3×	79 0.4×	67 0.4×	46	817
Lai Zhang	494 1.4×	305 0.9×	81 0.3×	118 0.6×	44 0.2×	71	918
Joan Saldaña	221 0.6×	215 0.7×	251 0.8×	267 1.3×	35 0.2×	40	1.2k
Michael H. Cortez	297 0.8×	506 1.5×	178 0.6×	77 0.4×	87 0.5×	39	866
Amy Hurford	349 1.0×	537 1.6×	146 0.5×	78 0.4×	147 0.8×	32	1.1k
Sandro Azaele	116 0.3×	147 0.4×	152 0.5×	256 1.3×	29 0.2×	44	991
Manojit Roy	265 0.8×	224 0.7×	105 0.4×	198 1.0×	22 0.1×	39	958
Sido D. Mylius	240 0.7×	436 1.3×	322 1.1×	248 1.2×	67 0.4×	13	1.2k

Countries citing papers authored by José D. Flores

Since Specialization

Citations

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

Fields of papers citing papers by José D. Flores

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José D. Flores. 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 José D. Flores. The network helps show where José D. Flores may publish in the future.

Co-authorship network of co-authors of José D. Flores

This figure shows the co-authorship network connecting the top 25 collaborators of José D. Flores. A scholar is included among the top collaborators of José D. Flores 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 José D. Flores. José D. Flores 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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