Thomas C. Noonan

20 total papers · 574 total citations
17 papers, 478 citations indexed

About

Thomas C. Noonan is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Immunology and Allergy. According to data from OpenAlex, Thomas C. Noonan has authored 17 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 10 papers in Pulmonary and Respiratory Medicine and 3 papers in Immunology and Allergy. Recurrent topics in Thomas C. Noonan's work include Asthma and respiratory diseases (11 papers), Inhalation and Respiratory Drug Delivery (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers). Thomas C. Noonan is often cited by papers focused on Asthma and respiratory diseases (11 papers), Inhalation and Respiratory Drug Delivery (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers). Thomas C. Noonan collaborates with scholars based in United States, Japan and Canada. Thomas C. Noonan's co-authors include Asrar B. Malik, Walter W. Wolyniec, William M. Selig, George T. De Sanctis, Jeffrey M. Drazen, Joe G. N. Garcia, William Jubiz, Erwin W. Gelfand, Anthony Joetham and Jeffrey A. Cooper and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Applied Physiology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Thomas C. Noonan

17 papers receiving 456 citations

Author Peers

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

Author						Papers	Cites
Thomas C. Noonan	253	167	162	105	68	17	478
Daniel J. Lenihan	198 0.8×	91 0.5×	85 0.5×	65 0.6×	47 0.7×	12	418
Xiao Na Ge	191 0.8×	272 1.6×	87 0.5×	51 0.5×	180 2.6×	21	550
Ine Kuipers	221 0.9×	132 0.8×	138 0.9×	57 0.5×	179 2.6×	16	546
Robert Wellings	307 1.2×	70 0.4×	217 1.3×	91 0.9×	103 1.5×	21	531
NF Voelkel	170 0.7×	73 0.4×	302 1.9×	44 0.4×	90 1.3×	12	543
Sho Isogai	217 0.9×	61 0.4×	154 1.0×	44 0.4×	113 1.7×	24	551
M. Marini	280 1.1×	193 1.2×	119 0.7×	119 1.1×	32 0.5×	16	499
Haizhen Hu	157 0.6×	103 0.6×	139 0.9×	33 0.3×	143 2.1×	12	452
G Salvidio	68 0.3×	157 0.9×	91 0.6×	55 0.5×	85 1.3×	14	453
Karen P. Kolbasa	145 0.6×	113 0.7×	78 0.5×	85 0.8×	129 1.9×	14	414

Countries citing papers authored by Thomas C. Noonan

Since Specialization

Citations

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

Fields of papers citing papers by Thomas C. Noonan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas C. Noonan. 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 Thomas C. Noonan. The network helps show where Thomas C. Noonan may publish in the future.

Co-authorship network of co-authors of Thomas C. Noonan

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas C. Noonan. A scholar is included among the top collaborators of Thomas C. Noonan 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 Thomas C. Noonan. Thomas C. Noonan 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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