Alena van Bömmel

565 total citations
11 papers, 125 citations indexed

About

Alena van Bömmel is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Alena van Bömmel has authored 11 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Hepatology. Recurrent topics in Alena van Bömmel's work include Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). Alena van Bömmel is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). Alena van Bömmel collaborates with scholars based in Germany, United Kingdom and United States. Alena van Bömmel's co-authors include Martin Vingron, Stephan Böhm, Cynthia Wat, Thomas Berg, Lei Yang, Florian van Bömmel, Danilo Deichsel, Vedran Pavlovic, Andreas Mayer and Ho‐Ryun Chung and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Alena van Bömmel

10 papers receiving 123 citations

Peers

Alena van Bömmel

EPIDE

MB

HEPAT

SP

FINAN

Matthew Pendleton United States

Mirta Peralta Argentina

Daniel Geanon Sweden

Eiichi Takezaki Japan

Justyna Czyzewska-Khan United Kingdom

Chen Guo China

Vaszko Tibor Hungary

Hauke J. Weiss Ireland

Aamir Fahira China

Emanuela Avola Italy

Matthew Pendleton United States

Alena van Bömmel

19 ×0.3

EPIDE

13 ×0.3

MB

17 ×0.3

HEPAT

0 ×0.0

SP

0 ×0.0

FINAN

Citations per year, relative to Alena van Bömmel Alena van Bömmel (= 1×) peers Matthew Pendleton

Countries citing papers authored by Alena van Bömmel

Since Specialization

Citations

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

Fields of papers citing papers by Alena van Bömmel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alena van Bömmel. 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 Alena van Bömmel. The network helps show where Alena van Bömmel may publish in the future.

Co-authorship network of co-authors of Alena van Bömmel

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

All Works

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11 of 11 papers shown

1.

Schwab, Katjana, Konstantin Riege, Alena van Bömmel, et al.. (2025). Gene regulation by convergent promoters. Nature Genetics. 57(1). 206–217. 3 indexed citations

2.

Bhatti, Gaurav, Herdiantri Sufriyana, Roberto Romero, et al.. (2025). Placental epigenetic clocks derived from crowdsourcing: Implications for the study of accelerated aging in obstetrics. iScience. 28(8). 113181–113181. 1 indexed citations

3.

Fischer, Martin, et al.. (2025). p53 reveals principles of chromatin remodeling and enhancer activation. Nucleic Acids Research. 53(11). 1 indexed citations

4.

Bömmel, Florian van, Elisabetta Degasperi, Alena van Bömmel, et al.. (2025). Dynamics of HBV biomarkers during nucleos(t)ide analog treatment: A 14-year study. Hepatology Communications. 9(6).

5.

Bömmel, Alena van, Lena Best, Konstantin Riege, et al.. (2024). Nonlinear DNA methylation trajectories in aging male mice. Nature Communications. 15(1). 3074–3074. 9 indexed citations

6.

Bömmel, Alena van, et al.. (2021). Assessing genome-wide dynamic changes in enhancer activity during early mESC differentiation by FAIRE-STARR-seq. Nucleic Acids Research. 49(21). 12178–12195. 9 indexed citations

7.

Bömmel, Alena van, et al.. (2021). Conserved DNA sequence features underlie pervasive RNA polymerase pausing. Nucleic Acids Research. 49(8). 4402–4420. 27 indexed citations

8.

Bömmel, Alena van, Michael I. Love, Ho‐Ryun Chung, & Martin Vingron. (2018). coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers. PLoS Computational Biology. 14(8). e1006372–e1006372. 6 indexed citations

9.

Bömmel, Florian van, Alena van Bömmel, Cynthia Wat, et al.. (2018). Serum HBV RNA as a Predictor of Peginterferon Alfa-2a Response in Patients With HBeAg-Positive Chronic Hepatitis B. The Journal of Infectious Diseases. 218(7). 1066–1074. 53 indexed citations

10.

Bömmel, Florian van, Alena van Bömmel, Hua He, et al.. (2015). P0643 : Serum HBV RNA is an early predictor of HBeAg seroconversion in patients with chronic hepatitis B (CHB) treated with Peg-Interferon alpha-2A (40kD). Journal of Hepatology. 62. S560–S560. 1 indexed citations

11.

Bömmel, Alena van, et al.. (2013). Risk Patterns and Correlated Brain Activities. Multidimensional Statistical Analysis of fMRI Data in Economic Decision Making Study. Psychometrika. 79(3). 489–514. 15 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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