Jana Wolf

9.1k total citations · 1 hit paper
56 papers, 6.1k citations indexed

About

Jana Wolf is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jana Wolf has authored 56 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Jana Wolf's work include Gene Regulatory Network Analysis (13 papers), NF-κB Signaling Pathways (9 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). Jana Wolf is often cited by papers focused on Gene Regulatory Network Analysis (13 papers), NF-κB Signaling Pathways (9 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). Jana Wolf collaborates with scholars based in Germany, United Kingdom and United States. Jana Wolf's co-authors include Dorothea Busse, Gunnar Dittmar, Matthias Selbach, Björn Schwanhäußer, Johannes Schuchhardt, Na Li, Wei Chen, Reinhart Heinrich, Sabine Becker-Weimann and Achim Kramer and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Journal of Clinical Investigation.

In The Last Decade

Jana Wolf

55 papers receiving 6.0k citations

Hit Papers

Global quantification of mammalian gene expression control 2011 2026 2016 2021 2011 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jana Wolf Germany 23 4.5k 638 594 533 498 56 6.1k
Johannes Schuchhardt Germany 22 4.5k 1.0× 707 1.1× 489 0.8× 472 0.9× 543 1.1× 63 6.3k
Michael J. Sweredoski United States 42 5.1k 1.1× 529 0.8× 689 1.2× 613 1.2× 383 0.8× 89 6.4k
Dorothea Busse Germany 6 3.6k 0.8× 624 1.0× 464 0.8× 444 0.8× 662 1.3× 7 5.1k
Attila Csordás United Kingdom 17 4.0k 0.9× 1.2k 1.8× 367 0.6× 509 1.0× 543 1.1× 24 6.3k
Tao Xu United States 45 4.8k 1.1× 1.2k 1.9× 456 0.8× 584 1.1× 564 1.1× 112 6.9k
Mathias Walzer Germany 13 3.2k 0.7× 796 1.2× 268 0.5× 467 0.9× 518 1.0× 20 4.9k
Rong Zeng China 53 5.6k 1.3× 978 1.5× 906 1.5× 827 1.6× 477 1.0× 222 8.5k
Karin Rodland United States 41 3.2k 0.7× 1.3k 2.0× 425 0.7× 329 0.6× 391 0.8× 126 5.2k
Rune Linding Denmark 30 5.2k 1.2× 744 1.2× 328 0.6× 746 1.4× 210 0.4× 53 6.1k
Beatrix Ueberheide United States 43 6.3k 1.4× 1.2k 1.8× 506 0.9× 509 1.0× 1.1k 2.1× 133 8.5k

Countries citing papers authored by Jana Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Jana Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Wolf

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

All Works

20 of 20 papers shown
1.
Simon, M. Celeste, et al.. (2024). From regulation of cell fate decisions towards patient-specific treatments, insights from mechanistic models of signalling pathways. Current Opinion in Systems Biology. 39. 100533–100533. 1 indexed citations
2.
Gartland, Margaret, Jagadish Beloor, Jana Wolf, et al.. (2024). The sensitivity of HIV-1 gp120 polymorphs to inhibition by temsavir correlates to temsavir binding on-rate. Antiviral Research. 229. 105953–105953.
3.
Weber, Leon, et al.. (2023). PEDL+: protein-centered relation extraction from PubMed at your fingertip. Bioinformatics. 39(11). 2 indexed citations
4.
Willenbrock, Michael, et al.. (2023). A computational model of the DNA damage-induced IKK/ NF-κB pathway reveals a critical dependence on irradiation dose and PARP-1. iScience. 26(10). 107917–107917. 3 indexed citations
5.
Loewer, Alexander, et al.. (2023). Resolving Crosstalk Between Signaling Pathways Using Mathematical Modeling and Time-Resolved Single Cell Data. Methods in molecular biology. 2634. 267–284. 1 indexed citations
6.
Lisec, Jan, Dennis Kobelt, Wolfgang Walther, et al.. (2021). Systematic Identification of MACC1-Driven Metabolic Networks in Colorectal Cancer. Cancers. 13(5). 978–978. 6 indexed citations
7.
Zhang, Yao, Ines Lahmann, Katharina Baum, et al.. (2021). Oscillations of Delta-like1 regulate the balance between differentiation and maintenance of muscle stem cells. Nature Communications. 12(1). 1318–1318. 46 indexed citations
8.
Zhang, Yao, Ines Lahmann, Katharina Baum, et al.. (2021). Author Correction: Oscillations of Delta-like1 regulate the balance between differentiation and maintenance of muscle stem cells. Nature Communications. 12(1). 1766–1766. 3 indexed citations
9.
Benary, Uwe, Anca Margineanu, Igor M. Pongrac, et al.. (2021). Quantitative lineage analysis identifies a hepato-pancreato-biliary progenitor niche. Nature. 597(7874). 87–91. 25 indexed citations
10.
Tjaden, Britta, Katharina Baum, Viktoria Marquardt, et al.. (2020). N-Myc-induced metabolic rewiring creates novel therapeutic vulnerabilities in neuroblastoma. Scientific Reports. 10(1). 7157–7157. 24 indexed citations
11.
Arslan, Seda Çöl, et al.. (2020). A Quantitative Modular Modeling Approach Reveals the Effects of Different A20 Feedback Implementations for the NF-kB Signaling Dynamics. Frontiers in Physiology. 11. 896–896. 8 indexed citations
12.
Dittmar, Gunnar, Daniel Pérez-Hernández, Elisabeth Kowenz‐Leutz, et al.. (2019). PRISMA: Protein Interaction Screen on Peptide Matrix Reveals Interaction Footprints and Modifications- Dependent Interactome of Intrinsically Disordered C/EBPβ. iScience. 13. 351–370. 25 indexed citations
13.
Lahmann, Ines, Dominique Bröhl, Akihiro Isomura, et al.. (2019). Oscillations of MyoD and Hes1 proteins regulate the maintenance of activated muscle stem cells. Genes & Development. 33(9-10). 524–535. 62 indexed citations
14.
Politi, Antonio Z., Anne Ast, Kenny Bravo‐Rodriguez, et al.. (2018). Self-assembly of Mutant Huntingtin Exon-1 Fragments into Large Complex Fibrillar Structures Involves Nucleated Branching. Journal of Molecular Biology. 430(12). 1725–1744. 31 indexed citations
15.
Schwanhäußer, Björn, Jana Wolf, Matthias Selbach, & Dorothea Busse. (2013). Synthesis and degradation jointly determine the responsiveness of the cellular proteome. BioEssays. 35(7). 597–601. 28 indexed citations
16.
Benary, Uwe, Bente Kofahl, Andreas Hecht, & Jana Wolf. (2013). Modeling Wnt/β-Catenin Target Gene Expression in APC and Wnt Gradients Under Wild Type and Mutant Conditions. Frontiers in Physiology. 4. 21–21. 21 indexed citations
17.
Schwanhäußer, Björn, Dorothea Busse, Na Li, et al.. (2011). Global quantification of mammalian gene expression control. Nature. 473(7347). 337–342. 4731 indexed citations breakdown →
18.
Wolf, Jana, Sabine Becker-Weimann, & R. Heinrich. (2005). Analysing the robustness of cellular rhythms. PubMed. 2(1). 35–41. 30 indexed citations
19.
Becker-Weimann, Sabine, Jana Wolf, Hanspeter Herzel, & Achim Kramer. (2004). Modeling Feedback Loops of the Mammalian Circadian Oscillator. Biophysical Journal. 87(5). 3023–3034. 129 indexed citations
20.
Wolf, Jana, Ho-Yong Sohn, Reinhart Heinrich, & Hiroshi Kuriyama. (2001). Mathematical analysis of a mechanism for autonomous metabolic oscillations in continuous culture of Saccharomyces cerevisiae. FEBS Letters. 499(3). 230–234. 29 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026