R FARR

20 total papers · 696 total citations
18 papers, 548 citations indexed

About

R FARR is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Infectious Diseases. According to data from OpenAlex, R FARR has authored 18 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Physiology and 2 papers in Infectious Diseases. Recurrent topics in R FARR's work include Asthma and respiratory diseases (5 papers), Respiratory and Cough-Related Research (4 papers) and Inhalation and Respiratory Drug Delivery (3 papers). R FARR is often cited by papers focused on Asthma and respiratory diseases (5 papers), Respiratory and Cough-Related Research (4 papers) and Inhalation and Respiratory Drug Delivery (3 papers). R FARR collaborates with scholars based in United States, Spain and Taiwan. R FARR's co-authors include S L Spector, J. Kenneth McClatchy, Emil J. Bardana, Percy Minden, Jeffrey A. Wald, Ben I. Friedman, Richard J. Carr, María J. Esteve, M.L. Wardlow and Daniel Navajas and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Analytical and Bioanalytical Chemistry and Sleep And Breathing.

In The Last Decade

R FARR

18 papers receiving 472 citations

Author Peers

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

Author						Papers	Cites
R FARR	324	198	122	102	61	18	548
K.P. Hui	377 1.2×	309 1.6×	44 0.4×	89 0.9×	40 0.7×	16	614
Rachel U. Lee	197 0.6×	128 0.6×	163 1.3×	45 0.4×	161 2.6×	20	545
B Stenius	192 0.6×	102 0.5×	56 0.5×	241 2.4×	16 0.3×	13	487
Leonard Siew	181 0.6×	98 0.5×	213 1.7×	111 1.1×	21 0.3×	23	592
M Cluzel	242 0.7×	101 0.5×	74 0.6×	61 0.6×	16 0.3×	32	461
Alfredo Tursi	178 0.5×	55 0.3×	123 1.0×	198 1.9×	17 0.3×	24	598
Kazuhito Asano	150 0.5×	119 0.6×	43 0.4×	56 0.5×	18 0.3×	22	460
S. Isola	355 1.1×	85 0.4×	33 0.3×	392 3.8×	28 0.5×	35	589
Yun‐Jeong Bae	145 0.4×	142 0.7×	142 1.2×	59 0.6×	8 0.1×	27	563
Sangita P. Patil	149 0.5×	50 0.3×	30 0.2×	266 2.6×	35 0.6×	12	460

Countries citing papers authored by R FARR

Since Specialization

Citations

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

Fields of papers citing papers by R FARR

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R FARR

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