Maike Schuldt

677 total citations
17 papers, 237 citations indexed

About

Maike Schuldt is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology. According to data from OpenAlex, Maike Schuldt has authored 17 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 9 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Maike Schuldt's work include Cardiomyopathy and Myosin Studies (14 papers), Cardiovascular Effects of Exercise (7 papers) and Cardiovascular Function and Risk Factors (6 papers). Maike Schuldt is often cited by papers focused on Cardiomyopathy and Myosin Studies (14 papers), Cardiovascular Effects of Exercise (7 papers) and Cardiovascular Function and Risk Factors (6 papers). Maike Schuldt collaborates with scholars based in Netherlands, Germany and Australia. Maike Schuldt's co-authors include Jolanda van der Velden, Diederik W.D. Kuster, Michelle Michels, Magdaléna Harakaľová, L. M. Dorsch, Cristobal G. dos Remedios, Folkert W. Asselbergs, Connie R. Jiménez, Sander R. Piersma and Jiayi Pei and has published in prestigious journals such as Circulation Research, The Journal of Physiology and International Journal of Molecular Sciences.

In The Last Decade

Maike Schuldt

16 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maike Schuldt Netherlands 10 167 137 27 18 12 17 237
Suresh Govindan United States 13 314 1.9× 233 1.7× 28 1.0× 8 0.4× 19 1.6× 21 430
L. M. Dorsch Netherlands 6 110 0.7× 87 0.6× 30 1.1× 10 0.6× 10 0.8× 9 150
Nicolas Szabo‐Fresnais United States 6 76 0.5× 132 1.0× 13 0.5× 9 0.5× 6 0.5× 8 198
Jalal Siddiqui United States 10 104 0.6× 214 1.6× 9 0.3× 13 0.7× 8 0.7× 20 319
Michael J. Lafferty United States 8 84 0.5× 112 0.8× 9 0.3× 14 0.8× 18 1.5× 13 241
Oleg Kovrov Sweden 6 248 1.5× 47 0.3× 33 1.2× 19 1.1× 23 1.9× 6 295
Asuka Ota United States 8 86 0.5× 224 1.6× 61 2.3× 38 2.1× 24 2.0× 9 321
Gail Sievert United States 11 161 1.0× 259 1.9× 27 1.0× 7 0.4× 11 0.9× 15 374
Navratan Bagwan Spain 7 32 0.2× 145 1.1× 15 0.6× 10 0.6× 12 1.0× 10 232
Roos F. Marsman Netherlands 7 242 1.4× 211 1.5× 6 0.2× 10 0.6× 7 0.6× 10 321

Countries citing papers authored by Maike Schuldt

Since Specialization
Citations

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

Fields of papers citing papers by Maike Schuldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maike Schuldt

This figure shows the co-authorship network connecting the top 25 collaborators of Maike Schuldt. A scholar is included among the top collaborators of Maike Schuldt 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 Maike Schuldt. Maike Schuldt 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.
Schuldt, Maike, Vasco Sequeira, Aleksandra Binek, et al.. (2024). Integrating Clinical Phenotype With Multiomics Analyses of Human Cardiac Tissue Unveils Divergent Metabolic Remodeling in Genotype-Positive and Genotype-Negative Patients With Hypertrophic Cardiomyopathy. Circulation Genomic and Precision Medicine. 17(3). e004369–e004369. 8 indexed citations
2.
Schuldt, Maike, Emmy Manders, Saskia Schlossarek, et al.. (2023). EGFR/IGF1R Signaling Modulates Relaxation in Hypertrophic Cardiomyopathy. Circulation Research. 133(5). 387–399. 13 indexed citations
3.
Jansen, M., Maike Schuldt, Amand F. Schmidt, et al.. (2023). Untargeted Metabolomics Identifies Potential Hypertrophic Cardiomyopathy Biomarkers in Carriers of MYBPC3 Founder Variants. International Journal of Molecular Sciences. 24(4). 4031–4031. 9 indexed citations
4.
Schuldt, Maike, Max Goebel, Emmy Manders, et al.. (2023). Characterization of heterozygous and homozygous mouse models with the most common hypertrophic cardiomyopathy mutation MYBPC3 in the Netherlands. Journal of Molecular and Cellular Cardiology. 185. 65–76. 2 indexed citations
5.
Schuldt, Maike, L. M. Dorsch, Jaco C. Knol, et al.. (2021). Sex-Related Differences in Protein Expression in Sarcomere Mutation-Positive Hypertrophic Cardiomyopathy. Frontiers in Cardiovascular Medicine. 8. 612215–612215. 12 indexed citations
6.
Schuldt, Maike, Daniela Q.C.M. Barge‐Schaapveld, Ahmet Güçlü, et al.. (2021). Distinct Metabolomic Signatures in Preclinical and Obstructive Hypertrophic Cardiomyopathy. Cells. 10(11). 2950–2950. 9 indexed citations
7.
Schuldt, Maike, Evgeni Levin, Ahmet Güçlü, et al.. (2021). Metabolomics in Severe Aortic Stenosis Reveals Intermediates of Nitric Oxide Synthesis as Most Distinctive Markers. International Journal of Molecular Sciences. 22(7). 3569–3569. 16 indexed citations
8.
Schuldt, Maike, Jiayi Pei, Magdaléna Harakaľová, et al.. (2021). Proteomic and Functional Studies Reveal Detyrosinated Tubulin as Treatment Target in Sarcomere Mutation-Induced Hypertrophic Cardiomyopathy. Circulation Heart Failure. 14(1). e007022–e007022. 68 indexed citations
9.
Schuldt, Maike, Huan He, Roy Huurman, et al.. (2020). Mutation location of HCM-causing troponin T mutations defines the degree of myofilament dysfunction in human cardiomyocytes. Journal of Molecular and Cellular Cardiology. 150. 77–90. 13 indexed citations
10.
Boer, Rudolf A. de, Louise L.A.M. Nijenkamp, Herman H.W. Silljé, et al.. (2020). Strength of patient cohorts and biobanks for cardiomyopathy research. Netherlands Heart Journal. 28(S1). 50–56. 1 indexed citations
11.
Najafi, Aref, Maike Schuldt, Ilse A. E. Bollen, et al.. (2019). End‐diastolic force pre‐activates cardiomyocytes and determines contractile force: role of titin and calcium. The Journal of Physiology. 597(17). 4521–4531. 6 indexed citations
12.
Dorsch, L. M., Maike Schuldt, Cristobal G. dos Remedios, et al.. (2019). Protein Quality Control Activation and Microtubule Remodeling in Hypertrophic Cardiomyopathy. Cells. 8(7). 741–741. 19 indexed citations
13.
Dorsch, L. M., Maike Schuldt, Marit Wiersma, et al.. (2018). Untying the knot: protein quality control in inherited cardiomyopathies. Pflügers Archiv - European Journal of Physiology. 471(5). 795–806. 11 indexed citations
14.
Najafi, Aref, Maike Schuldt, Thang V. Pham, et al.. (2018). PKA’s favorite son: prioritizing phosphorylation of phospholamban over cardiac troponin I contributes to diastolic dysfunction in hypertrophic cardiomyopathy. Journal of Molecular and Cellular Cardiology. 120. 39–40. 1 indexed citations
15.
Bollen, Ilse A. E., Maike Schuldt, Magdaléna Harakaľová, et al.. (2017). Genotype‐specific pathogenic effects in human dilated cardiomyopathy. The Journal of Physiology. 595(14). 4677–4693. 28 indexed citations
16.
Gabrielsen, Mads, Maike Schuldt, June Munro, et al.. (2013). Cucurbitacin covalent bonding to cysteine thiols: the filamentous-actin severing protein Cofilin1 as an exemplary target. Cell Communication and Signaling. 11(1). 58–58. 21 indexed citations
17.
Schuldt, Maike, et al.. (1999). AMS 800® Sphinkter-Implantationen bei Kindern. Aktuelle Urologie. 30(4). 242–248.

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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