Nina Baumgarten

500 total citations
10 papers, 92 citations indexed

About

Nina Baumgarten is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Nina Baumgarten has authored 10 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Cancer Research and 0 papers in Infectious Diseases. Recurrent topics in Nina Baumgarten's work include Genomics and Chromatin Dynamics (8 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). Nina Baumgarten is often cited by papers focused on Genomics and Chromatin Dynamics (8 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). Nina Baumgarten collaborates with scholars based in Germany, Singapore and United States. Nina Baumgarten's co-authors include Marcel H. Schulz, Florian Schmidt, Peter Ebert, Fabian Kern, Markus List, Matthias S. Leisegang, Stefanie Dimmeler, Thorsten Kessler, Kathi Zarnack and Martin Wegner and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Nina Baumgarten

9 papers receiving 92 citations

Peers

Nina Baumgarten
Eman Hagag Germany
Junhua Lyu United States
Xian Du China
Zachary Weber United States
Brulinda Frangaj United States
Ai Okada Japan
Eman Hagag Germany
Nina Baumgarten
Citations per year, relative to Nina Baumgarten Nina Baumgarten (= 1×) peers Eman Hagag

Countries citing papers authored by Nina Baumgarten

Since Specialization
Citations

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

Fields of papers citing papers by Nina Baumgarten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Baumgarten

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

All Works

10 of 10 papers shown
1.
Baumgarten, Nina, et al.. (2024). A statistical approach for identifying single nucleotide variants that affect transcription factor binding. iScience. 27(5). 109765–109765. 2 indexed citations
2.
Hoffmann, Markus, Jakub Jankowski, Hye‐Kyung Lee, et al.. (2023). TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors.
3.
Zhu, Chaonan, Nina Baumgarten, Yue Wang, et al.. (2023). CVD-associated SNPs with regulatory potential reveal novel non-coding disease genes. Human Genomics. 17(1). 69–69. 8 indexed citations
4.
Glaser, Simone-Franziska, Nina Baumgarten, Andreas W. Heumüller, et al.. (2023). Circular RNA circPLOD2 regulates pericyte function by targeting the transcription factor KLF4. Cell Reports. 42(8). 112824–112824. 11 indexed citations
5.
Cattaneo, Paola, Michael G.B. Hayes, Nina Baumgarten, et al.. (2022). DOT1L regulates chamber-specific transcriptional networks during cardiogenesis and mediates postnatal cell cycle withdrawal. Nature Communications. 13(1). 7444–7444. 13 indexed citations
6.
Hoffmann, Markus, Jakub Jankowski, Hye‐Kyung Lee, et al.. (2022). TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors. GigaScience. 12. 5 indexed citations
7.
Schmidt, Florian, Alexander Marx, Nina Baumgarten, et al.. (2021). Integrative analysis of epigenetics data identifies gene-specific regulatory elements. Nucleic Acids Research. 49(18). 10397–10418. 11 indexed citations
8.
Baumgarten, Nina, et al.. (2020). EpiRegio: analysis and retrieval of regulatory elements linked to genes. Nucleic Acids Research. 48(W1). W193–W199. 16 indexed citations
9.
Baumgarten, Nina, Florian Schmidt, & Marcel H. Schulz. (2019). Improved linking of motifs to their TFs using domain information. Bioinformatics. 36(6). 1655–1662. 1 indexed citations
10.
Schmidt, Florian, Fabian Kern, Peter Ebert, Nina Baumgarten, & Marcel H. Schulz. (2018). TEPIC 2—an extended framework for transcription factor binding prediction and integrative epigenomic analysis. Bioinformatics. 35(9). 1608–1609. 25 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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