Angela D. Irwin

14 total papers · 633 total citations
11 papers, 506 citations indexed

About

Angela D. Irwin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Angela D. Irwin has authored 11 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Immunology. Recurrent topics in Angela D. Irwin's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Heat shock proteins research (2 papers) and Immunotherapy and Immune Responses (2 papers). Angela D. Irwin is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Heat shock proteins research (2 papers) and Immunotherapy and Immune Responses (2 papers). Angela D. Irwin collaborates with scholars based in United States. Angela D. Irwin's co-authors include Jay W. Heinecke, Steven D. Hartson, Robert L. Matts, Jieya Shao, Tomáš Vaisar, Lev Becker, Karin Bornfeldt, Nathalie Pamir, Xiaoyun Fu and Bradley T. Scroggins and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Circulation Research.

In The Last Decade

Angela D. Irwin

11 papers receiving 496 citations

Author Peers

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

Author Last Decade Papers Cites
Angela D. Irwin 239 153 108 89 72 11 506
Keiji Tanigaki 244 1.0× 150 1.0× 83 0.8× 69 0.8× 97 1.3× 17 541
Latha Paka 201 0.8× 58 0.4× 108 1.0× 103 1.2× 49 0.7× 17 517
K A Leingang 365 1.5× 70 0.5× 153 1.4× 47 0.5× 66 0.9× 9 611
Michael La Belle 162 0.7× 80 0.5× 194 1.8× 174 2.0× 58 0.8× 16 467
E. Cama 206 0.9× 57 0.4× 35 0.3× 68 0.8× 39 0.5× 9 574
Arul M. Mani 242 1.0× 117 0.8× 81 0.8× 44 0.5× 40 0.6× 20 559
Jong‐Wei Lin 275 1.2× 34 0.2× 151 1.4× 133 1.5× 105 1.5× 15 540
Kenichi Nishida 135 0.6× 170 1.1× 60 0.6× 39 0.4× 45 0.6× 15 454
Ainhoa Oguiza 212 0.9× 186 1.2× 46 0.4× 54 0.6× 60 0.8× 13 504
Nicolette Meyer 172 0.7× 79 0.5× 249 2.3× 174 2.0× 42 0.6× 16 529

Countries citing papers authored by Angela D. Irwin

Since Specialization
Citations

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

Fields of papers citing papers by Angela D. Irwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela D. Irwin. 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 Angela D. Irwin. The network helps show where Angela D. Irwin may publish in the future.

Co-authorship network of co-authors of Angela D. Irwin

This figure shows the co-authorship network connecting the top 25 collaborators of Angela D. Irwin. A scholar is included among the top collaborators of Angela D. Irwin 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 Angela D. Irwin. Angela D. Irwin 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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