Christine Wahlquist

1.4k total citations
9 papers, 784 citations indexed

About

Christine Wahlquist is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Christine Wahlquist has authored 9 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Christine Wahlquist's work include MicroRNA in disease regulation (5 papers), RNA Interference and Gene Delivery (3 papers) and Extracellular vesicles in disease (3 papers). Christine Wahlquist is often cited by papers focused on MicroRNA in disease regulation (5 papers), RNA Interference and Gene Delivery (3 papers) and Extracellular vesicles in disease (3 papers). Christine Wahlquist collaborates with scholars based in United States, Netherlands and China. Christine Wahlquist's co-authors include Mark Mercola, Ah Young Lee, Changwon Kho, Roger J. Hajjar, Dongtak Jeong, Alain van Mil, Agustin Rojas‐Muñoz, Pieter A. Doevendans, Joost P. G. Sluijter and Shinichi Mitsuyama and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American College of Cardiology.

In The Last Decade

Christine Wahlquist

9 papers receiving 769 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine Wahlquist United States 8 605 309 176 53 37 9 784
Meriem Bourajjaj Netherlands 10 567 0.9× 228 0.7× 184 1.0× 46 0.9× 14 0.4× 12 783
Mohamed Ameen United States 15 771 1.3× 81 0.3× 275 1.6× 212 4.0× 39 1.1× 23 1.0k
Marco Piccoli Italy 16 420 0.7× 65 0.2× 94 0.5× 122 2.3× 67 1.8× 48 625
Przemek A. Gorski United States 12 506 0.8× 119 0.4× 240 1.4× 83 1.6× 4 0.1× 17 682
Nuri Yun South Korea 17 529 0.9× 225 0.7× 111 0.6× 47 0.9× 3 0.1× 34 671
Jinhui Lü China 16 516 0.9× 372 1.2× 36 0.2× 38 0.7× 5 0.1× 26 687
Carita Lannér Canada 8 362 0.6× 53 0.2× 177 1.0× 59 1.1× 10 0.3× 14 560
Zhuomin Wu China 11 412 0.7× 326 1.1× 28 0.2× 21 0.4× 7 0.2× 18 580
Andrea Ghiroldi Italy 14 308 0.5× 46 0.1× 125 0.7× 104 2.0× 18 0.5× 34 474

Countries citing papers authored by Christine Wahlquist

Since Specialization
Citations

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

Fields of papers citing papers by Christine Wahlquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Wahlquist

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Wahlquist. A scholar is included among the top collaborators of Christine Wahlquist 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 Christine Wahlquist. Christine Wahlquist 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.
Jung, Ji‐Hye, Gentaro Ikeda, Yuko Tada, et al.. (2021). miR-106a–363 cluster in extracellular vesicles promotes endogenous myocardial repair via Notch3 pathway in ischemic heart injury. Basic Research in Cardiology. 116(1). 19–19. 40 indexed citations
2.
O’Brien, Connor, Mehmet Ozgün Ozen, Gentaro Ikeda, et al.. (2021). Mitochondria-Rich Extracellular Vesicles Rescue Patient-Specific Cardiomyocytes From Doxorubicin Injury. JACC CardioOncology. 3(3). 428–440. 66 indexed citations
3.
Lei, Zhiyong, Christine Wahlquist, Hamid el Azzouzi, et al.. (2021). miR-132/212 Impairs Cardiomyocytes Contractility in the Failing Heart by Suppressing SERCA2a. Frontiers in Cardiovascular Medicine. 8. 592362–592362. 25 indexed citations
4.
Vaskova, Evgeniya, et al.. (2020). Sacubitril/Valsartan Improves Cardiac Function and Decreases Myocardial Fibrosis Via Downregulation of Exosomal miR‐181a in a Rodent Chronic Myocardial Infarction Model. Journal of the American Heart Association. 9(13). e015640–e015640. 52 indexed citations
5.
Tada, Yuko, et al.. (2018). EXOSOMAL MIR-106A-363 CLUSTER FROM THE HYPOXIC HUMAN IPSC-DERIVED CARDIOMYOCYTES RESTORE THE ISCHEMIC MYOCARDIUM. Journal of the American College of Cardiology. 71(11). A14–A14. 3 indexed citations
6.
Jeong, Dongtak, Philyoung Lee, Ah Young Lee, et al.. (2017). miR-25 Tough Decoy Enhances Cardiac Function in Heart Failure. Molecular Therapy. 26(3). 718–729. 38 indexed citations
7.
Wahlquist, Christine, Dongtak Jeong, Agustin Rojas‐Muñoz, et al.. (2014). Inhibition of miR-25 improves cardiac contractility in the failing heart. Nature. 508(7497). 531–535. 326 indexed citations
8.
Schade, Dennis, Marion Lanier, Erik Willems, et al.. (2012). Synthesis and SAR of b-Annulated 1,4-Dihydropyridines Define Cardiomyogenic Compounds as Novel Inhibitors of TGFβ Signaling. Journal of Medicinal Chemistry. 55(22). 9946–9957. 59 indexed citations
9.
Salomonis, Nathan, Christopher R. Schlieve, Laura Pereira, et al.. (2010). Alternative splicing regulates mouse embryonic stem cell pluripotency and differentiation. Proceedings of the National Academy of Sciences. 107(23). 10514–10519. 175 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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