Nina Gennebäck

554 total citations
4 papers, 442 citations indexed

About

Nina Gennebäck is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Nina Gennebäck has authored 4 papers receiving a total of 442 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 Immunology. Recurrent topics in Nina Gennebäck's work include RNA Interference and Gene Delivery (2 papers), Extracellular vesicles in disease (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Nina Gennebäck is often cited by papers focused on RNA Interference and Gene Delivery (2 papers), Extracellular vesicles in disease (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Nina Gennebäck collaborates with scholars based in Sweden and France. Nina Gennebäck's co-authors include Anders Waldenström, Urban Hellman, Gunnar Ronquist, Stellan Mörner, Göran Larsson, Gerhard Wikström and Jane‐Lise Samuel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.

In The Last Decade

Nina Gennebäck

4 papers receiving 437 citations

Peers

Nina Gennebäck
Alan Zimmerman United States
Matthew Kang New Zealand
Phat Duong United States
T. Renee Dawson United States
Arash Latifkar United States
Alan Zimmerman United States
Nina Gennebäck
Citations per year, relative to Nina Gennebäck Nina Gennebäck (= 1×) peers Alan Zimmerman

Countries citing papers authored by Nina Gennebäck

Since Specialization
Citations

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

Fields of papers citing papers by Nina Gennebäck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Gennebäck

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

All Works

4 of 4 papers shown
2.
Gennebäck, Nina, Urban Hellman, Göran Larsson, et al.. (2013). Growth factor stimulation of cardiomyocytes induces changes in the transcriptional contents of secreted exosomes. Journal of Extracellular Vesicles. 2(1). 69 indexed citations
3.
Waldenström, Anders, Nina Gennebäck, Urban Hellman, & Gunnar Ronquist. (2012). Cardiomyocyte Microvesicles Contain DNA/RNA and Convey Biological Messages to Target Cells. PLoS ONE. 7(4). e34653–e34653. 357 indexed citations
4.
Gennebäck, Nina, Gerhard Wikström, Urban Hellman, et al.. (2012). Transcriptional Regulation of Cardiac Genes Balance Pro- and Anti-Hypertrophic Mechanisms in Hypertrophic Cardiomyopathy. SHILAP Revista de lepidopterología. 2(1). e5–e5. 1 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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