Kiyoko M. Parrish

18 total papers · 569 total citations
17 papers, 467 citations indexed

About

Kiyoko M. Parrish is a scholar working on Pathology and Forensic Medicine, Epidemiology and Obstetrics and Gynecology. According to data from OpenAlex, Kiyoko M. Parrish has authored 17 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 6 papers in Epidemiology and 5 papers in Obstetrics and Gynecology. Recurrent topics in Kiyoko M. Parrish's work include Alcohol Consumption and Health Effects (8 papers), Maternal and Perinatal Health Interventions (5 papers) and Healthcare Policy and Management (4 papers). Kiyoko M. Parrish is often cited by papers focused on Alcohol Consumption and Health Effects (8 papers), Maternal and Perinatal Health Interventions (5 papers) and Healthcare Policy and Management (4 papers). Kiyoko M. Parrish collaborates with scholars based in United States, Guatemala and Japan. Kiyoko M. Parrish's co-authors include Susumu Higuchi, James P. LoGerfo, Victoria L. Holt, Barbara Williams, Frederick A. Connell, Thomas C. Harford, Frederick S. Stinson, Leland H. Towle, Mary C. Dufour and M Dufour and has published in prestigious journals such as JAMA, American Journal of Epidemiology and The British Journal of Psychiatry.

In The Last Decade

Kiyoko M. Parrish

16 papers receiving 443 citations

Author Peers

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

Author Last Decade Papers Cites
Kiyoko M. Parrish 179 171 125 115 73 17 467
Michel Boutsen 92 0.5× 117 0.7× 103 0.8× 85 0.7× 139 1.9× 10 541
Catherine Lucas 128 0.7× 131 0.8× 82 0.7× 20 0.2× 147 2.0× 27 496
Verity Leach 70 0.4× 135 0.8× 60 0.5× 18 0.2× 72 1.0× 15 465
Kjersti Bakken 88 0.5× 85 0.5× 27 0.2× 44 0.4× 85 1.2× 42 517
Peter Butt 53 0.3× 63 0.4× 201 1.6× 121 1.1× 160 2.2× 14 427
Pushpa Jayawardana 107 0.6× 114 0.7× 59 0.5× 18 0.2× 158 2.2× 32 429
Helene Kirkegaard 156 0.9× 122 0.7× 84 0.7× 26 0.2× 201 2.8× 23 456
Bang-An Luo 64 0.4× 68 0.4× 67 0.5× 250 2.2× 116 1.6× 16 503
Julie Chilimigras 268 1.5× 235 1.4× 57 0.5× 33 0.3× 200 2.7× 11 504
L. Hidalgo 56 0.3× 111 0.6× 21 0.2× 62 0.5× 109 1.5× 26 415

Countries citing papers authored by Kiyoko M. Parrish

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoko M. Parrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kiyoko M. Parrish. 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 Kiyoko M. Parrish. The network helps show where Kiyoko M. Parrish may publish in the future.

Co-authorship network of co-authors of Kiyoko M. Parrish

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoko M. Parrish. A scholar is included among the top collaborators of Kiyoko M. Parrish 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 Kiyoko M. Parrish. Kiyoko M. Parrish 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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