Monika Stoll

14.4k total citations · 1 hit paper
167 papers, 5.9k citations indexed

About

Monika Stoll is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Monika Stoll has authored 167 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 44 papers in Cardiology and Cardiovascular Medicine and 37 papers in Genetics. Recurrent topics in Monika Stoll's work include Blood Coagulation and Thrombosis Mechanisms (26 papers), Renin-Angiotensin System Studies (21 papers) and Genetic Associations and Epidemiology (15 papers). Monika Stoll is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (26 papers), Renin-Angiotensin System Studies (21 papers) and Genetic Associations and Epidemiology (15 papers). Monika Stoll collaborates with scholars based in Germany, Netherlands and United States. Monika Stoll's co-authors include Thomas Unger, U. Muscha Steckelings, Serge P. Bottari, M. Paul, Rainer Metzger, Simone Meffert, Stefan Schreiber, Anika Witten, Frank Rühle and Ulrike Nowak‐Göttl and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Monika Stoll

161 papers receiving 5.8k citations

Hit Papers

The angiotensin AT2-recep... 1995 2026 2005 2015 1995 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monika Stoll Germany 40 2.1k 2.0k 1.4k 918 766 167 5.9k
Béla Melegh Hungary 35 1.4k 0.6× 763 0.4× 870 0.6× 397 0.4× 460 0.6× 260 4.4k
Timothy J. Aitman United Kingdom 44 3.2k 1.5× 598 0.3× 2.6k 1.9× 783 0.9× 894 1.2× 140 7.1k
Jeffrey R. Bender United States 45 2.4k 1.1× 598 0.3× 2.0k 1.4× 1.3k 1.4× 1.7k 2.2× 90 6.7k
Jean-Marc Lalouel United States 41 2.1k 1.0× 1.9k 0.9× 2.2k 1.6× 2.4k 2.6× 535 0.7× 111 7.2k
Martin Farrall United Kingdom 47 3.1k 1.5× 1.8k 0.9× 3.2k 2.3× 1.6k 1.7× 1.5k 1.9× 123 10.2k
Koji Maemura Japan 47 3.9k 1.8× 2.0k 1.0× 776 0.6× 396 0.4× 654 0.9× 229 8.4k
Yukiko Kurihara Japan 43 3.3k 1.5× 770 0.4× 941 0.7× 303 0.3× 656 0.9× 96 6.5k
Michael J. Donovan United States 24 2.1k 1.0× 1.5k 0.7× 419 0.3× 870 0.9× 452 0.6× 52 5.5k
Kathleen M. Caron United States 39 2.3k 1.1× 386 0.2× 693 0.5× 723 0.8× 1.1k 1.4× 114 5.4k
Serge Amselem France 52 4.3k 2.0× 395 0.2× 2.3k 1.6× 2.0k 2.2× 1.5k 2.0× 191 7.8k

Countries citing papers authored by Monika Stoll

Since Specialization
Citations

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

Fields of papers citing papers by Monika Stoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Stoll

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

All Works

20 of 20 papers shown
1.
Herrera-Rivero, Marisol, et al.. (2023). DNA methylation links between depression and immunity. Journal of Affective Disorders Reports. 12. 100546–100546. 1 indexed citations
3.
Zeemering, Stef, Aaron Isaacs, Barbara Casadei, et al.. (2023). Heart failure, female sex and atrial fibrillation are the main drivers of atrial cardiomyopathy in cardiac surgery patients: results from the CATCH ME consortium. EP Europace. 25(Supplement_1). 1 indexed citations
4.
Halimeh, Susan, et al.. (2023). Genotype–Phenotype Relationship among 785 Unrelated White Women with Inherited Congenital Factor VII Deficiency: A Three-Center Database Study. Journal of Clinical Medicine. 13(1). 49–49. 6 indexed citations
5.
Herrera-Rivero, Marisol, Nadine Ludwig, Achmet Imam Chasan, et al.. (2022). C/EBPδ-induced epigenetic changes control the dynamic gene transcription of S100a8 and S100a9. eLife. 11. 19 indexed citations
8.
Witten, Anika, Aaron Isaacs, Elisabetta Castoldi, et al.. (2021). Leukocyte gene expression in post-thrombotic syndrome. Thrombosis Research. 202. 40–42. 1 indexed citations
9.
Reyat, Jasmeet S., Winnie Chua, Victor Roth Cardoso, et al.. (2020). Reduced left atrial cardiomyocyte PITX2 and elevated circulating BMP10 predict atrial fibrillation after ablation. JCI Insight. 5(16). 50 indexed citations
10.
Witten, Anika, Frank Rühle, Andrei Barysenka, et al.. (2020). ADAMTS12, a new candidate gene for pediatric stroke. PLoS ONE. 15(8). e0237928–e0237928. 6 indexed citations
11.
Scharsack, Jörn P., Frederik Franke, Andrew D. Moore, et al.. (2020). Climate change facilitates a parasite’s host exploitation via temperature‐mediated immunometabolic processes. Global Change Biology. 27(1). 94–107. 15 indexed citations
12.
Schulz, Angela, Andreas Eisenreich, Andrei Barysenka, et al.. (2019). Analysis of the genomic architecture of a complex trait locus in hypertensive rat models links Tmem63c to kidney damage. eLife. 8. 23 indexed citations
13.
Quaranta, Roberto, Frank Rühle, Jyoti Rao, et al.. (2018). Revised roles of ISL1 in a hES cell-based model of human heart chamber specification. eLife. 7. 36 indexed citations
14.
Rühle, Frank & Monika Stoll. (2017). Genetic factors in pediatric venous thromboembolism. Thrombosis Research. 151. S97–S99. 1 indexed citations
15.
Witten, Anika, et al.. (2014). Transcription factor cAMP response element modulator (Crem) restrains Pdgf-dependent proliferation of vascular smooth muscle cells in mice. Pflügers Archiv - European Journal of Physiology. 467(10). 2165–2177. 8 indexed citations
16.
Hascher, Antje, Katja Hebestreit, Christian Rohde, et al.. (2013). DNA Methyltransferase Inhibition Reverses Epigenetically Embedded Phenotypes in Lung Cancer Preferentially Affecting Polycomb Target Genes. Clinical Cancer Research. 20(4). 814–826. 41 indexed citations
17.
Goldenberg, Neil A., Gili Kenet, Fenella J. Kirkham, et al.. (2012). Role of reduced ADAMTS13 in arterial ischemic stroke: A Pediatric Cohort Study. Annals of Neurology. 73(1). 58–64. 39 indexed citations
18.
Wellmann, Jürgen, et al.. (2010). Susceptibility Genes and Progression in Age-Related Maculopathy: A Study of Single Eyes. Investigative Ophthalmology & Visual Science. 51(2). 731–731. 27 indexed citations
19.
Kreutz, Reinhold, Juliane Bolbrinker, Femke van der Sman-de Beer, et al.. (2008). CYP3A5 genotype is associated with longer patient survival after kidney transplantation and long-term treatment with cyclosporine. The Pharmacogenomics Journal. 8(6). 416–422. 21 indexed citations
20.
Tschöpe, Carsten, Monika Stoll, Peter Gohlke, & Thomas Unger. (1994). Potential effects of bradykinin on myocardial capillary growth after angiotensin converting enzyme inhibition. Expert Opinion on Investigational Drugs. 3(5). 501–510. 3 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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