Patricia Conley

23 total papers · 463 total citations
14 papers, 291 citations indexed

About

Patricia Conley is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Patricia Conley has authored 14 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Surgery. Recurrent topics in Patricia Conley's work include Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Cardiovascular and exercise physiology (2 papers) and Nursing Diagnosis and Documentation (2 papers). Patricia Conley is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Cardiovascular and exercise physiology (2 papers) and Nursing Diagnosis and Documentation (2 papers). Patricia Conley collaborates with scholars based in United States and Brazil. Patricia Conley's co-authors include Dennis Chong, Jack Citrin, David S. McKinsey, James P. Donnelly, Susan Nolte, Antonio C. Quiroz, Christopher Dunbar, E. L. Glickman-Weiss, Maithe Enriquez and Lynne S. Nemeth and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Political Psychology and Oncology nursing forum.

In The Last Decade

Patricia Conley

12 papers receiving 273 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 Conley 113 106 41 38 26 14 291
Irina Haivas 42 0.4× 69 0.7× 38 0.9× 11 0.3× 13 0.5× 13 251
Richard Reeves 49 0.4× 129 1.2× 44 1.1× 22 0.6× 20 0.8× 21 260
James G. Burrow 27 0.2× 51 0.5× 55 1.3× 38 1.0× 10 0.4× 15 312
Sylvia Harvey 33 0.3× 94 0.9× 38 0.9× 33 0.9× 18 0.7× 22 248
Polly Toynbee 75 0.7× 89 0.8× 61 1.5× 14 0.4× 19 0.7× 20 309
Elizabeth Clery 47 0.4× 122 1.2× 37 0.9× 15 0.4× 26 1.0× 8 208
John Spicer Nichols 25 0.2× 125 1.2× 50 1.2× 35 0.9× 18 0.7× 15 301
Roos van der Zwan 52 0.5× 160 1.5× 63 1.5× 35 0.9× 64 2.5× 13 256
Tami Swenson 90 0.8× 94 0.9× 53 1.3× 92 2.4× 9 0.3× 14 260
Chad Richardson 16 0.1× 140 1.3× 81 2.0× 61 1.6× 20 0.8× 15 312

Countries citing papers authored by Patricia Conley

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Conley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Conley

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