Roberto Flores

42 total papers · 3.7k total citations
27 papers, 2.6k citations indexed

About

Roberto Flores is a scholar working on Surgery, Epidemiology and Molecular Biology. According to data from OpenAlex, Roberto Flores has authored 27 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 13 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Roberto Flores's work include Cervical Cancer and HPV Research (12 papers), Gut microbiota and health (12 papers) and Genital Health and Disease (11 papers). Roberto Flores is often cited by papers focused on Cervical Cancer and HPV Research (12 papers), Gut microbiota and health (12 papers) and Genital Health and Disease (11 papers). Roberto Flores collaborates with scholars based in United States, Mexico and Finland. Roberto Flores's co-authors include James J. Goedert, Jacques Ravel, Mitchell H. Gail, Martha Abrahamsen, Anna R. Giuliano, Jianxin Shi, Carrie M. Nielson, Mary Papenfuss, Xia Xu and Barbara J. Fuhrman and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and JNCI Journal of the National Cancer Institute.

In The Last Decade

Roberto Flores

27 papers receiving 2.6k citations

Hit Papers

Fecal microbial determina... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Roberto Flores 1.2k 1.1k 1.0k 436 322 27 2.6k
Eva Rylander 541 0.5× 2.5k 2.2× 1.2k 1.2× 519 1.2× 320 1.0× 83 3.9k
Gloria Y. F. Ho 726 0.6× 2.3k 2.0× 963 0.9× 914 2.1× 289 0.9× 67 3.8k
J Peto 746 0.6× 2.6k 2.3× 1.1k 1.0× 790 1.8× 96 0.3× 22 4.2k
Martha L. Hutchinson 557 0.5× 3.5k 3.1× 1.5k 1.4× 746 1.7× 157 0.5× 69 4.2k
Seymour L. Romney 642 0.6× 1.7k 1.5× 682 0.7× 425 1.0× 126 0.4× 111 3.5k
Elena Matos 359 0.3× 1.5k 1.3× 809 0.8× 501 1.1× 124 0.4× 37 2.6k
Jordan Brown 1.4k 1.2× 399 0.4× 475 0.5× 95 0.2× 163 0.5× 51 3.1k
Filippo Canducci 1.2k 1.1× 835 0.7× 744 0.7× 253 0.6× 226 0.7× 79 3.5k
Karen M. Lammers 1.2k 1.0× 1.2k 1.1× 1.0k 1.0× 146 0.3× 217 0.7× 49 3.9k
S. I. Rennard 624 0.5× 452 0.4× 266 0.3× 355 0.8× 570 1.8× 37 3.5k

Countries citing papers authored by Roberto Flores

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Flores

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Flores

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