Patricia A. Main

36 total papers · 929 total citations
32 papers, 678 citations indexed

About

Patricia A. Main is a scholar working on Periodontics, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Patricia A. Main has authored 32 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Periodontics, 12 papers in General Health Professions and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Patricia A. Main's work include Dental Health and Care Utilization (24 papers), Oral microbiology and periodontitis research (8 papers) and Dental Education, Practice, Research (6 papers). Patricia A. Main is often cited by papers focused on Dental Health and Care Utilization (24 papers), Oral microbiology and periodontitis research (8 papers) and Dental Education, Practice, Research (6 papers). Patricia A. Main collaborates with scholars based in Canada, India and United States. Patricia A. Main's co-authors include Amir Azarpazhooh, James L. Leake, David Locker, Robert J. Hawkins, Frank Popovich, Gordon W. Thompson, Elizabeth Kay, Aleksandra Jokovic, A Csima and Maryam Amin and has published in prestigious journals such as Medical Education, Community Dentistry And Oral Epidemiology and BDJ.

In The Last Decade

Patricia A. Main

31 papers receiving 610 citations

Author Peers

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

Author Last Decade Papers Cites
Patricia A. Main 454 177 154 137 129 32 678
Peter Arrow 526 1.2× 115 0.6× 154 1.0× 120 0.9× 238 1.8× 45 791
Karin Weber‐Gasparoni 501 1.1× 133 0.8× 82 0.5× 83 0.6× 117 0.9× 43 694
Nils Oscarson 580 1.3× 176 1.0× 123 0.8× 105 0.8× 152 1.2× 24 770
P. Paunio 607 1.3× 121 0.7× 106 0.7× 73 0.5× 122 0.9× 17 747
Rainer A. Jordan 517 1.1× 66 0.4× 242 1.6× 133 1.0× 248 1.9× 37 777
Pia Gabre 519 1.1× 140 0.8× 70 0.5× 121 0.9× 102 0.8× 49 763
Fiona Gilchrist 380 0.8× 95 0.5× 93 0.6× 85 0.6× 339 2.6× 36 774
Krishna Aravamudhan 402 0.9× 137 0.8× 269 1.7× 101 0.7× 87 0.7× 16 717
Elaine Pereira da Silva Tagliaferro 456 1.0× 88 0.5× 231 1.5× 128 0.9× 115 0.9× 67 645
Mawlood Kowash 517 1.1× 74 0.4× 92 0.6× 163 1.2× 141 1.1× 54 785

Countries citing papers authored by Patricia A. Main

Since Specialization
Citations

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

Fields of papers citing papers by Patricia A. Main

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia A. Main. 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 Patricia A. Main. The network helps show where Patricia A. Main may publish in the future.

Co-authorship network of co-authors of Patricia A. Main

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