Michelle Chino

43 total papers · 745 total citations
24 papers, 554 citations indexed

About

Michelle Chino is a scholar working on General Health Professions, Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Michelle Chino has authored 24 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 7 papers in Health and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Michelle Chino's work include Indigenous Health, Education, and Rights (4 papers), Community Health and Development (4 papers) and Food Security and Health in Diverse Populations (4 papers). Michelle Chino is often cited by papers focused on Indigenous Health, Education, and Rights (4 papers), Community Health and Development (4 papers) and Food Security and Health in Diverse Populations (4 papers). Michelle Chino collaborates with scholars based in United States, Australia and Canada. Michelle Chino's co-authors include Lemyra DeBruyn, Karl Kingsley, Susan O’Malley, Lynne Fullerton‐Gleason, Marcia Ditmyer, Thomas H. Carter, William L. Freeman, Richard R. Sharp, Morris W. Foster and Ian Ring and has published in prestigious journals such as PLoS ONE, American Journal of Public Health and The American Journal of Human Genetics.

In The Last Decade

Michelle Chino

23 papers receiving 499 citations

Author Peers

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

Author						Papers	Cites
Michelle Chino	261	170	116	92	71	24	554
Luiz de Souza	148 0.6×	106 0.6×	90 0.8×	65 0.7×	44 0.6×	48	652
Yongwen Jiang	116 0.4×	76 0.4×	125 1.1×	41 0.4×	142 2.0×	48	648
Abraham Aragones	181 0.7×	148 0.9×	110 0.9×	35 0.4×	48 0.7×	25	660
Caryn E. Peterson	84 0.3×	124 0.7×	61 0.5×	75 0.8×	35 0.5×	49	677
Coralia Vázquez‐Otero	86 0.3×	173 1.0×	105 0.9×	80 0.9×	42 0.6×	41	661
Michelle Dickson	184 0.7×	209 1.2×	143 1.2×	81 0.9×	69 1.0×	52	557
Laura Merrell	136 0.5×	163 1.0×	84 0.7×	48 0.5×	56 0.8×	27	670
Cláudia Guerra	215 0.8×	57 0.3×	129 1.1×	131 1.4×	68 1.0×	30	666
Ana Glória Godoi Vasconcelos	287 1.1×	107 0.6×	111 1.0×	61 0.7×	50 0.7×	36	693
Larry Laufman	220 0.8×	97 0.6×	153 1.3×	111 1.2×	89 1.3×	36	664

Countries citing papers authored by Michelle Chino

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Chino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Chino

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