Linda Fehr

17 total papers · 670 total citations
12 papers, 486 citations indexed

About

Linda Fehr is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Linda Fehr has authored 12 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Pathology and Forensic Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Linda Fehr's work include Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Spinal Cord Injury Research (3 papers) and Cardiovascular and exercise physiology (2 papers). Linda Fehr is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Spinal Cord Injury Research (3 papers) and Cardiovascular and exercise physiology (2 papers). Linda Fehr collaborates with scholars based in United States and Mexico. Linda Fehr's co-authors include W. Edwin Langbein, Steven B. Skaar, Eileen G. Collins, Robert B. Dunn, Paul Johnson, Frances M. Weaver, Charles J. Robinson, Susan O’Çonnell, Franco Laghi and Antonio Cárdenas and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Robotics and Autonomous Systems.

In The Last Decade

Linda Fehr

12 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Linda Fehr	227	122	113	79	73	12	486
Anton Zupan	50 0.2×	91 0.7×	24 0.2×	46 0.6×	77 1.1×	26	457
R. Foulds	134 0.6×	77 0.6×	26 0.2×	33 0.4×	38 0.5×	32	440
Andrew J. Rentschler	82 0.4×	40 0.3×	246 2.2×	5 0.1×	173 2.4×	17	544
Héctor Caltenco	305 1.3×	285 2.3×	83 0.7×	7 0.1×	22 0.3×	39	545
R. Brady	48 0.2×	109 0.9×	20 0.2×	23 0.3×	72 1.0×	22	513
Gordon Tao	204 0.9×	81 0.7×	28 0.2×	4 0.1×	43 0.6×	22	450
Elaine Trefler	40 0.2×	32 0.3×	378 3.3×	18 0.2×	148 2.0×	25	537
Alana Elza Fontes Da Gama	155 0.7×	61 0.5×	20 0.2×	10 0.1×	53 0.7×	22	452
José-Antonio Lozano-Quilis	109 0.5×	203 1.7×	55 0.5×	3 0.0×	107 1.5×	7	509
Sergio Albiol-Pérez	128 0.6×	84 0.7×	20 0.2×	4 0.1×	106 1.5×	35	528

Countries citing papers authored by Linda Fehr

Since Specialization

Citations

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

Fields of papers citing papers by Linda Fehr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Fehr

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