Thomas Mawson

1.1k total citations
8 papers, 787 citations indexed

About

Thomas Mawson is a scholar working on Immunology, Immunology and Allergy and Cancer Research. According to data from OpenAlex, Thomas Mawson has authored 8 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Immunology and Allergy and 2 papers in Cancer Research. Recurrent topics in Thomas Mawson's work include Atherosclerosis and Cardiovascular Diseases (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers) and Cell Adhesion Molecules Research (2 papers). Thomas Mawson is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers) and Cell Adhesion Molecules Research (2 papers). Thomas Mawson collaborates with scholars based in United States, France and Sweden. Thomas Mawson's co-authors include G Franck, Peter Libby, Eduardo J. Folco, Thibaut Quillard, Oscar Persson, Amélie Vromman, Francis W. Luscinskas, Breno Bernardes‐Souza, Gail Newton and Yevgenia Tesmenitsky and has published in prestigious journals such as Circulation Research, European Heart Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Thomas Mawson

6 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Mawson United States 6 530 243 139 134 106 8 787
Thomas M. Hofbauer Austria 13 566 1.1× 274 1.1× 65 0.5× 196 1.5× 166 1.6× 33 848
Thomas Scherz Austria 8 412 0.8× 206 0.8× 51 0.4× 150 1.1× 101 1.0× 15 621
Adelheid Panzenböck Austria 11 372 0.7× 195 0.8× 83 0.6× 337 2.5× 237 2.2× 13 853
Daniela Laimer Austria 5 306 0.6× 187 0.8× 57 0.4× 256 1.9× 109 1.0× 6 676
Katharina M. Katsaros Austria 14 309 0.6× 142 0.6× 217 1.6× 133 1.0× 54 0.5× 18 626
Bonnie Mitchell United States 14 223 0.4× 155 0.6× 86 0.6× 150 1.1× 81 0.8× 28 804
Ming-Shan He Taiwan 8 309 0.6× 152 0.6× 148 1.1× 225 1.7× 57 0.5× 21 946
Luke Tapp United Kingdom 13 240 0.5× 216 0.9× 76 0.5× 261 1.9× 40 0.4× 24 614
Claudia Azucena Palafox‐Sánchez Mexico 20 592 1.1× 183 0.8× 52 0.4× 40 0.3× 30 0.3× 63 1.0k
Lucie Andrés Cerezo Czechia 19 239 0.5× 388 1.6× 97 0.7× 36 0.3× 112 1.1× 40 846

Countries citing papers authored by Thomas Mawson

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Mawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Mawson

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

All Works

8 of 8 papers shown
1.
Bashore, Alexander C., Hanying Yan, Chenyi Xue, et al.. (2024). High-Dimensional Single-Cell Multimodal Landscape of Human Carotid Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 44(4). 930–945. 35 indexed citations
2.
Long, Ann C., Christopher M. Haggerty, Dustin N. Hartzel, et al.. (2024). DELINEATE-Regurgitation: deep learning for automated assessment of aortic, mitral, and tricuspid regurgitation from echocardiography. European Heart Journal. 45(Supplement_1).
3.
Berger, Amnon A., Thomas Mawson, & André Dejam. (2021). Fractional Excretion of Urate for Diuresis Management in Heart Failure and Cardiorenal Syndrome. JACC Case Reports. 3(7). 1051–1054. 1 indexed citations
4.
Franck, G, Thomas Mawson, Eduardo J. Folco, et al.. (2018). Roles of PAD4 and NETosis in Experimental Atherosclerosis and Arterial Injury. Circulation Research. 123(1). 33–42. 232 indexed citations
5.
Franck, G, Thomas Mawson, Eduardo J. Folco, et al.. (2018). Roles of PAD4 and netosis in experimental atherosclerosis and arterial injury: Implications for superficial erosion. Atherosclerosis. 275. e11–e11. 16 indexed citations
6.
Folco, Eduardo J., Thomas Mawson, Amélie Vromman, et al.. (2018). Neutrophil Extracellular Traps Induce Endothelial Cell Activation and Tissue Factor Production Through Interleukin-1α and Cathepsin G. Arteriosclerosis Thrombosis and Vascular Biology. 38(8). 1901–1912. 254 indexed citations
7.
Quillard, Thibaut, G Franck, Thomas Mawson, Eduardo J. Folco, & Peter Libby. (2017). Mechanisms of erosion of atherosclerotic plaques. Current Opinion in Lipidology. 28(5). 434–441. 107 indexed citations
8.
Franck, G, Thomas Mawson, Grasiele Sausen, et al.. (2017). Flow Perturbation Mediates Neutrophil Recruitment and Potentiates Endothelial Injury via TLR2 in Mice. Circulation Research. 121(1). 31–42. 142 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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