Lela M. Prewitt

23 total papers · 1.4k total citations
16 papers, 1.1k citations indexed

About

Lela M. Prewitt is a scholar working on Pulmonary and Respiratory Medicine, General Health Professions and Health. According to data from OpenAlex, Lela M. Prewitt has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 4 papers in General Health Professions and 2 papers in Health. Recurrent topics in Lela M. Prewitt's work include Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Respiratory Support and Mechanisms (4 papers) and Healthcare Policy and Management (2 papers). Lela M. Prewitt is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Respiratory Support and Mechanisms (4 papers) and Healthcare Policy and Management (2 papers). Lela M. Prewitt collaborates with scholars based in United States and Spain. Lela M. Prewitt's co-authors include Andrew L. Ries, Robert M. Kaplan, Elizabeth Eakin, Roseann Myers, Pamela M. Resnikoff, Robert M. Kaplan, S. W. Jamieson, Christine M. Smith, Jolene M. Kriett and Miguel Del Campo and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and Health Psychology.

In The Last Decade

Lela M. Prewitt

16 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Lela M. Prewitt 774 210 141 139 117 16 1.1k
Carla Herrerias 899 1.2× 172 0.8× 102 0.7× 190 1.4× 186 1.6× 9 1.1k
Roberto Benzo 834 1.1× 262 1.2× 162 1.1× 195 1.4× 107 0.9× 31 1.1k
Aroub Lahham 749 1.0× 147 0.7× 166 1.2× 162 1.2× 72 0.6× 29 958
Tshepo Rasekaba 521 0.7× 143 0.7× 216 1.5× 209 1.5× 170 1.5× 35 1.2k
Robert M. Kaplan 479 0.6× 137 0.7× 228 1.6× 101 0.7× 101 0.9× 25 969
Paul P. Janssen 758 1.0× 248 1.2× 55 0.4× 210 1.5× 312 2.7× 15 1.1k
Yves Lacasse 763 1.0× 143 0.7× 56 0.4× 111 0.8× 105 0.9× 10 909
Alexander Turk 497 0.6× 280 1.3× 60 0.4× 191 1.4× 102 0.9× 37 1.1k
Zab Mosenifar 844 1.1× 342 1.6× 63 0.4× 92 0.7× 94 0.8× 31 1.1k
Per Jakobsson 824 1.1× 330 1.6× 86 0.6× 93 0.7× 227 1.9× 22 991

Countries citing papers authored by Lela M. Prewitt

Since Specialization
Citations

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

Fields of papers citing papers by Lela M. Prewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lela M. Prewitt

This figure shows the co-authorship network connecting the top 25 collaborators of Lela M. Prewitt. A scholar is included among the top collaborators of Lela M. Prewitt 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 Lela M. Prewitt. Lela M. Prewitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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