Mara J. Kröner

440 total citations
17 papers, 341 citations indexed

About

Mara J. Kröner is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Mara J. Kröner has authored 17 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Mara J. Kröner's work include Atherosclerosis and Cardiovascular Diseases (8 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (4 papers). Mara J. Kröner is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (8 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (4 papers). Mara J. Kröner collaborates with scholars based in Netherlands, Austria and Japan. Mara J. Kröner's co-authors include Johan Kuiper, Ilze Bot, Peter J. van Santbrink, Frank H. Schaftenaar, Gijs H.M. van Puijvelde, Amanda C. Foks, Thomas van der Heijden, Eva Kritikou, Paul H.A. Quax and Jacob Amersfoort and has published in prestigious journals such as Scientific Reports, Arteriosclerosis Thrombosis and Vascular Biology and Frontiers in Immunology.

In The Last Decade

Mara J. Kröner

17 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mara J. Kröner Netherlands 12 192 125 76 55 37 17 341
Renske de Jong Germany 8 200 1.0× 174 1.4× 53 0.7× 33 0.6× 72 1.9× 10 506
Shasha Qi China 11 65 0.3× 143 1.1× 45 0.6× 34 0.6× 36 1.0× 16 349
Yujie Zhou China 12 51 0.3× 121 1.0× 98 1.3× 46 0.8× 20 0.5× 37 373
Yan Dai China 10 99 0.5× 182 1.5× 20 0.3× 52 0.9× 124 3.4× 19 421
Akio Abe Japan 5 152 0.8× 128 1.0× 61 0.8× 29 0.5× 172 4.6× 10 439
Dru S. Dace United States 8 128 0.7× 100 0.8× 24 0.3× 16 0.3× 39 1.1× 8 337
Wei Xiang China 9 72 0.4× 141 1.1× 65 0.9× 32 0.6× 52 1.4× 13 288
Veronica De Simone Italy 10 51 0.3× 143 1.1× 25 0.3× 42 0.8× 48 1.3× 15 280

Countries citing papers authored by Mara J. Kröner

Since Specialization
Citations

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

Fields of papers citing papers by Mara J. Kröner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mara J. Kröner

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

All Works

17 of 17 papers shown
1.
Schaftenaar, Frank H., Andrea D. van Dam, Gerjan de Bruin, et al.. (2024). Immunoproteasomal Inhibition With ONX-0914 Attenuates Atherosclerosis and Reduces White Adipose Tissue Mass and Metabolic Syndrome in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 44(6). 1346–1364. 4 indexed citations
2.
Amersfoort, Jacob, Frank H. Schaftenaar, Máté G. Kiss, et al.. (2022). IFNγ-Stimulated B Cells Inhibit T Follicular Helper Cells and Protect Against Atherosclerosis. Frontiers in Cardiovascular Medicine. 9. 781436–781436. 2 indexed citations
3.
Bot, Ilze, et al.. (2020). Local Mast Cell Activation Promotes Neovascularization. Cells. 9(3). 701–701. 19 indexed citations
4.
Ingen, Eva van, Amanda C. Foks, Mara J. Kröner, et al.. (2019). Antisense Oligonucleotide Inhibition of MicroRNA-494 Halts Atherosclerotic Plaque Progression and Promotes Plaque Stabilization. Molecular Therapy — Nucleic Acids. 18. 638–649. 19 indexed citations
5.
Hoekstra, Menno, et al.. (2019). Inhibition of PRMT3 activity reduces hepatic steatosis without altering atherosclerosis susceptibility in apoE knockout mice. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(6). 1402–1409. 10 indexed citations
6.
Schaftenaar, Frank H., Jacob Amersfoort, Mara J. Kröner, et al.. (2019). Induction of HLA-A2 restricted CD8 T cell responses against ApoB100 peptides does not affect atherosclerosis in a humanized mouse model. Scientific Reports. 9(1). 17391–17391. 6 indexed citations
7.
Amersfoort, Jacob, Frank H. Schaftenaar, Mara J. Kröner, et al.. (2019). B- and T-lymphocyte attenuator stimulation protects against atherosclerosis by regulating follicular B cells. Cardiovascular Research. 116(2). 295–305. 19 indexed citations
8.
Hoekstra, Menno, et al.. (2019). ATP-binding cassette transporter G1 deficiency is associated with mild glucocorticoid insufficiency in mice. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1864(4). 443–451. 5 indexed citations
9.
Kritikou, Eva, Janine van Duijn, Thomas van der Heijden, et al.. (2018). Disruption of a CD1d-mediated interaction between mast cells and NKT cells aggravates atherosclerosis. Atherosclerosis. 280. 132–139. 14 indexed citations
10.
Amersfoort, Jacob, Frank H. Schaftenaar, Peter J. van Santbrink, et al.. (2018). Lipocalin-2 contributes to experimental atherosclerosis in a stage-dependent manner. Atherosclerosis. 275. 214–224. 22 indexed citations
11.
Amersfoort, Jacob, Frank H. Schaftenaar, Amanda C. Foks, et al.. (2018). Defective Autophagy in T Cells Impairs the Development of Diet-Induced Hepatic Steatosis and Atherosclerosis. Frontiers in Immunology. 9. 19 indexed citations
12.
Duijn, Janine van, Eva Kritikou, Naomi Benne, et al.. (2018). CD8+ T-cells contribute to lesion stabilization in advanced atherosclerosis by limiting macrophage content and CD4+ T-cell responses. Cardiovascular Research. 115(4). 729–738. 56 indexed citations
13.
Bot, Ilze, Natalia V. Ortiz Zacarı́as, Wilhelmus E. A. de Witte, et al.. (2017). A novel CCR2 antagonist inhibits atherogenesis in apoE deficient mice by achieving high receptor occupancy. Scientific Reports. 7(1). 52–52. 51 indexed citations
14.
Kritikou, Eva, Gijs H.M. van Puijvelde, Thomas van der Heijden, et al.. (2016). Inhibition of lysophosphatidic acid receptors 1 and 3 attenuates atherosclerosis development in LDL-receptor deficient mice. Scientific Reports. 6(1). 37585–37585. 29 indexed citations
15.
Foks, Amanda C., Gijs H.M. van Puijvelde, Jolien Wolbert, et al.. (2016). CD11b+Gr-1+myeloid-derived suppressor cells reduce atherosclerotic lesion development in LDLr deficient mice. Cardiovascular Research. 111(3). 252–261. 32 indexed citations
16.
Kühn, W., Barbara Schmalfeldt, L. Pache, et al.. (1998). Disease-adapted relapse therapy for ovarian cancer: results of a prospective study.. PubMed. 13(1). 57–63. 20 indexed citations
17.
Kühn, W., Barbara Schmalfeldt, L. Pache, et al.. (1998). Disease-adapted relapse therapy for ovarian cancer: results of a prospective study.. International Journal of Oncology. 14 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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