Tanja Nielsen

951 total citations
3 papers, 45 citations indexed

About

Tanja Nielsen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Tanja Nielsen has authored 3 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Epidemiology. Recurrent topics in Tanja Nielsen's work include Congenital heart defects research (3 papers), Ubiquitin and proteasome pathways (1 paper) and RNA and protein synthesis mechanisms (1 paper). Tanja Nielsen is often cited by papers focused on Congenital heart defects research (3 papers), Ubiquitin and proteasome pathways (1 paper) and RNA and protein synthesis mechanisms (1 paper). Tanja Nielsen collaborates with scholars based in United States, Australia and Denmark. Tanja Nielsen's co-authors include Rolf Bodmer, Georg Vogler, Alexandre R. Colas, Analyne Schroeder, Cemil Özcelik, Marcel Grunert, Christian Mühlfeld, Cristobal G. dos Remedios, Andreas Perrot and Silke Sperling and has published in prestigious journals such as Human Molecular Genetics, PLoS Genetics and Disease Models & Mechanisms.

In The Last Decade

Tanja Nielsen

3 papers receiving 44 citations

Peers

Tanja Nielsen
Leeyean Wong United States
Chul Joo Kang United States
Eric Bartell United States
Anita Hiltbrunner Switzerland
Tanja Nielsen
Citations per year, relative to Tanja Nielsen Tanja Nielsen (= 1×) peers Emilie Chopin

Countries citing papers authored by Tanja Nielsen

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Nielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Nielsen

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

All Works

3 of 3 papers shown
1.
Schroeder, Analyne, et al.. (2022). Nascent polypeptide-Associated Complex and Signal Recognition Particle have cardiac-specific roles in heart development and remodeling. PLoS Genetics. 18(10). e1010448–e1010448. 5 indexed citations
2.
Nielsen, Tanja, Marcel Grunert, Andreas Perrot, et al.. (2020). Identification of MYOM2 as a candidate gene in hypertrophic cardiomyopathy and Tetralogy of Fallot, and its functional evaluation in the Drosophila heart. Disease Models & Mechanisms. 13(12). 22 indexed citations
3.
Schroeder, Analyne, Georg Vogler, Maria A Missinato, et al.. (2019). Model system identification of novel congenital heart disease gene candidates: focus on RPL13. Human Molecular Genetics. 28(23). 3954–3969. 18 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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