Fred Baribaud

1.9k total citations
8 papers, 556 citations indexed

About

Fred Baribaud is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Fred Baribaud has authored 8 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Immunology. Recurrent topics in Fred Baribaud's work include Asthma and respiratory diseases (4 papers), Respiratory and Cough-Related Research (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). Fred Baribaud is often cited by papers focused on Asthma and respiratory diseases (4 papers), Respiratory and Cough-Related Research (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). Fred Baribaud collaborates with scholars based in United States, United Kingdom and Netherlands. Fred Baribaud's co-authors include Daniel Horowitz, Kevin F. Gibson, Thomas J. Richards, Katherine Li, Carrie Brodmerkel, Jiin Choi, Naftali Kaminski, Louis J. Vuga, Yingze Zhang and Susan Flavin and has published in prestigious journals such as Gastroenterology, American Journal of Respiratory and Critical Care Medicine and European Respiratory Journal.

In The Last Decade

Fred Baribaud

7 papers receiving 549 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fred Baribaud United States	5	392	325	131	68	53	8	556
Laura Rapley United Kingdom	9	231 0.6×	234 0.7×	139 1.1×	86 1.3×	10 0.2×	14	439
T. Kawayama Japan	5	224 0.6×	161 0.5×	73 0.6×	61 0.9×	40 0.8×	7	332
Nobuoki Kohno Japan	6	262 0.7×	126 0.4×	52 0.4×	35 0.5×	35 0.7×	10	386
Chris Kell United Kingdom	5	245 0.6×	306 0.9×	163 1.2×	21 0.3×	13 0.2×	9	447
Yohei Yatagai Japan	11	212 0.5×	183 0.6×	71 0.5×	39 0.6×	8 0.2×	27	354
Taro Okayama Japan	11	59 0.2×	169 0.5×	101 0.8×	72 1.1×	22 0.4×	24	490
Hirohita Kita United States	4	168 0.4×	444 1.4×	209 1.6×	26 0.4×	16 0.3×	8	531
Margherita Ori Italy	6	394 1.0×	77 0.2×	26 0.2×	73 1.1×	32 0.6×	12	475
Elizabeth Perry United Kingdom	7	117 0.3×	57 0.2×	67 0.5×	38 0.6×	15 0.3×	10	250
Taha Al‐Shaikhly United States	10	47 0.1×	75 0.2×	107 0.8×	17 0.3×	15 0.3×	45	304

Countries citing papers authored by Fred Baribaud

Since Specialization

Citations

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

Fields of papers citing papers by Fred Baribaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Baribaud

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

All Works

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8 of 8 papers shown

Donaldson, Gavin C., Lydia Finney, Dexter Wiseman, et al.. (2019). Comparison of Paper and Tablet Based App Diary Cards in COPD Patients. A3278–A3278. 1 indexed citations

Kuo, Chih‐Hsi S., Stelios Pavlidis, Matthew J. Loza, et al.. (2017). T-helper cell type 2 (Th2) and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in U-BIOPRED. European Respiratory Journal. 49(2). 1602135–1602135. 251 indexed citations

Telesco, Shannon, Linda E. Greenbaum, Hongyan Zhang, et al.. (2017). Prediction of Non-Response to Anti-Tnf Therapy in Ulcerative Colitis: Implications for Patient Stratification for IBD Trials and Novel Treatment Paradigms. Gastroenterology. 152(5). S984–S985. 1 indexed citations

Rossios, Christos, Stelios Pavlidis, David Gibeon, et al.. (2017). Impaired innate immune gene profiling in airway smooth muscle cells from chronic cough patients. Bioscience Reports. 37(6). 8 indexed citations

Silkoff, Philip E., Michel Laviolette, Dileep Kumar Singh, et al.. (2016). Longitudinal stability of asthma characteristics and biomarkers from the Airways Disease Endotyping for Personalized Therapeutics (ADEPT) study. Respiratory Research. 17(1). 43–43. 29 indexed citations

Loza, Matthew J., Stelios Pavlidis, Bertrand De Meulder, et al.. (2015). LATE-BREAKING ABSTRACT: Transcriptomic fingerprinting in severe adult-onset asthma shows type2-high and inflammatory-cell gene signatures in the U-BIOPRED cohort. OA291–OA291.

Kassim, Sadik H., et al.. (2013). Systematic identification of novel SLE related autoantibodies responsible for type I IFN production in human plasmacytoid dendritic cells. Cellular Immunology. 284(1-2). 119–128. 6 indexed citations

Richards, Thomas J., Naftali Kaminski, Fred Baribaud, et al.. (2011). Peripheral Blood Proteins Predict Mortality in Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 185(1). 67–76. 260 indexed citations

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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