Lukas Tomas

603 total citations
9 papers, 307 citations indexed

About

Lukas Tomas is a scholar working on Immunology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lukas Tomas has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lukas Tomas's work include Atherosclerosis and Cardiovascular Diseases (4 papers), Immune cells in cancer (2 papers) and T-cell and B-cell Immunology (2 papers). Lukas Tomas is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (4 papers), Immune cells in cancer (2 papers) and T-cell and B-cell Immunology (2 papers). Lukas Tomas collaborates with scholars based in Sweden, Germany and United States. Lukas Tomas's co-authors include Jan Nilsson, Isabel Gonçalves, Harry Björkbacka, Alexandru Șchiopu, Eva Bengtsson, Andreas Edsfeldt, Jerzy Adamski, Gabrielle Paulsson‐Berne, Goran Marinković and Troels Yndigegn and has published in prestigious journals such as Circulation, European Heart Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Lukas Tomas

7 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukas Tomas Sweden 6 168 156 83 63 44 9 307
Rick van Gorp Netherlands 6 174 1.0× 102 0.7× 96 1.2× 38 0.6× 49 1.1× 8 362
Yuzhen Wei China 11 130 0.8× 150 1.0× 128 1.5× 28 0.4× 47 1.1× 14 347
Michele D’ Amico Italy 8 158 0.9× 63 0.4× 95 1.1× 33 0.5× 40 0.9× 8 311
А. В. Потехина Russia 10 94 0.6× 108 0.7× 143 1.7× 45 0.7× 30 0.7× 49 357
Yulia Antropova Australia 4 134 0.8× 200 1.3× 55 0.7× 56 0.9× 32 0.7× 4 426
Georgios Foteinos United Kingdom 6 210 1.3× 121 0.8× 50 0.6× 23 0.4× 37 0.8× 8 339
Abraham Bayer United States 9 101 0.6× 89 0.6× 51 0.6× 24 0.4× 25 0.6× 18 366
Mara J. Kröner Netherlands 12 125 0.7× 192 1.2× 22 0.3× 76 1.2× 37 0.8× 17 341
T. Navin United Kingdom 5 107 0.6× 204 1.3× 28 0.3× 65 1.0× 55 1.3× 6 339

Countries citing papers authored by Lukas Tomas

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Tomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Tomas

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

All Works

9 of 9 papers shown
1.
Kunze, Lea H., M. Haertel, Yeqian Zhu, et al.. (2025). Image-Derived Blood Normalization of Antibody-Based TREM2 PET in Mouse Models of Amyloidosis and Myocardial Infarction. Journal of Nuclear Medicine. 66(9). 1419–1424.
2.
Ishikawa‐Ankerhold, Hellen, Benjamin Busch, Daniela Begandt, et al.. (2024). Novel multiphoton intravital imaging enables real-time study of Helicobacter pylori interaction with neutrophils and macrophages in the mouse stomach. PLoS Pathogens. 20(9). e1012580–e1012580.
3.
Tomas, Lukas, Wiaam Badn, Linda Andersson, et al.. (2023). Invariant natural killer T cells and incidence of first-time coronary events: a nested case-control study. European Heart Journal Open. 3(6). oead094–oead094. 1 indexed citations
4.
Tomas, Lukas, et al.. (2023). Glycolytic side pathways regulating macrophage inflammatory phenotypes and functions. American Journal of Physiology-Cell Physiology. 324(2). C558–C564. 15 indexed citations
5.
Tomas, Lukas, et al.. (2021). Trafficking of Mononuclear Phagocytes in Healthy Arteries and Atherosclerosis. Frontiers in Immunology. 12. 718432–718432. 11 indexed citations
6.
Tomas, Lukas, Eva Bengtsson, Linda Andersson, et al.. (2019). Low Levels of CD4 + CD28 null T Cells at Baseline Are Associated With First-Time Coronary Events in a Prospective Population-Based Case-Control Cohort. Arteriosclerosis Thrombosis and Vascular Biology. 40(2). 426–436. 10 indexed citations
7.
Marinković, Goran, Troels Yndigegn, István Adorján Szabó, et al.. (2019). Inhibition of pro-inflammatory myeloid cell responses by short-term S100A9 blockade improves cardiac function after myocardial infarction. European Heart Journal. 40(32). 2713–2723. 116 indexed citations
8.
Wigren, Maria, Sara Rattik, Ingrid Yao Mattisson, et al.. (2019). Lack of Ability to Present Antigens on Major Histocompatibility Complex Class II Molecules Aggravates Atherosclerosis in ApoE −/− Mice. Circulation. 139(22). 2554–2566. 35 indexed citations
9.
Tomas, Lukas, Andreas Edsfeldt, Inês G. Mollet, et al.. (2018). Altered metabolism distinguishes high-risk from stable carotid atherosclerotic plaques. European Heart Journal. 39(24). 2301–2310. 119 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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