John J. Noonan

19 total papers · 609 total citations
17 papers, 470 citations indexed

About

John J. Noonan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, John J. Noonan has authored 17 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Pathology and Forensic Medicine. Recurrent topics in John J. Noonan's work include Cardiac Ischemia and Reperfusion (4 papers), Metabolism and Genetic Disorders (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). John J. Noonan is often cited by papers focused on Cardiac Ischemia and Reperfusion (4 papers), Metabolism and Genetic Disorders (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). John J. Noonan collaborates with scholars based in United States, Ireland and Germany. John J. Noonan's co-authors include A. L. Shug, David P. Rose, Ei Terasawa, Marcin Schmidt, Thomas E. Nass, William E. Bridson, Donald J. Dierschke, Michael D. Loose, Brona M. Murphy and Marco M. Gottardis and has published in prestigious journals such as Chemical Communications, Endocrinology and Cardiovascular Research.

In The Last Decade

John J. Noonan

17 papers receiving 450 citations

Author Peers

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

Author						Papers	Cites
John J. Noonan	175	115	86	65	60	17	470
Massimo U. De Martino	178 1.0×	31 0.3×	35 0.4×	160 2.5×	141 2.4×	14	550
Carmel McVicar	119 0.7×	176 1.5×	59 0.7×	43 0.7×	21 0.3×	13	506
Malgorzata McMenamin	225 1.3×	55 0.5×	24 0.3×	19 0.3×	37 0.6×	18	518
P. Schlesinger	158 0.9×	55 0.5×	157 1.8×	100 1.5×	100 1.7×	14	550
Monica Wusteman	222 1.3×	41 0.4×	32 0.4×	42 0.6×	23 0.4×	15	546
Virendra B. Mahesh	116 0.7×	102 0.9×	10 0.1×	48 0.7×	99 1.6×	20	435
Lifang Li	272 1.6×	17 0.1×	20 0.2×	67 1.0×	42 0.7×	19	504
Kerri Kluetzman	225 1.3×	65 0.6×	11 0.1×	44 0.7×	78 1.3×	18	539
Arturo Alisio	187 1.1×	185 1.6×	8 0.1×	37 0.6×	56 0.9×	18	530
Wanying Shan	281 1.6×	80 0.7×	15 0.2×	13 0.2×	17 0.3×	22	545

Countries citing papers authored by John J. Noonan

Since Specialization

Citations

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

Fields of papers citing papers by John J. Noonan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. Noonan

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