Jana Wolf
Impact in
- Molecular Biology top 1%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Gene Regulatory Network Analysis
- Ubiquitin and proteasome pathways
- Bioinformatics and Genomic Networks
- Aging top 5%
Papers in
-
- Gene Regulatory Network Analysis 13
- RNA Research and Splicing 6
- Cancer-related gene regulation 5
- Bioinformatics and Genomic Networks 5
-
- NF-κB Signaling Pathways 9
- Co-authors
- Dorothea Busse (5 shared papers)Matthias Selbach (2 shared papers)Björn Schwanhäußer (2 shared papers)Gunnar Dittmar (3 shared papers)Johannes Schuchhardt (2 shared papers)Na Li (1 shared paper)Wei Chen (1 shared paper)Reinhart Heinrich (7 shared papers)
- Journals
- Nature Communications (3 papers)Biophysical Journal (3 papers)Bioinformatics (2 papers)FEBS Journal (2 papers)Nature (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Jana Wolf
55 papers receiving 6.0k citations
Jana Wolf's Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 4.5k
- Aging 76
- Cancer Research 594
- Spectroscopy 638
- Cell Biology 533
Countries citing papers authored by Jana Wolf
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
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-authors
The 25 scholars most cited alongside Jana Wolf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global quantification of mammalian gene expression control Hit paper breakdown → | 2011 | 4731 |
| 2 | 2004 | 129 | |
| 3 | 2016 | 111 | |
| 4 | 2015 | 90 | |
| 5 | 2000 | 87 | |
| 6 | 2000 | 77 | |
| 7 | 2011 | 64 | |
| 8 | 2019 | 62 | |
| 9 | 1997 | 50 | |
| 10 | 2003 | 49 | |
| 11 | 2021 | 46 | |
| 12 | 2014 | 44 | |
| 13 | 2000 | 43 | |
| 14 | 2018 | 31 | |
| 15 | 2005 | 30 | |
| 16 | 2001 | 29 | |
| 17 | 2013 | 28 | |
| 18 | 2015 | 28 | |
| 19 | 2019 | 25 | |
| 20 | 2021 | 25 |
About Jana Wolf
Jana Wolf is a scholar working on Molecular Biology, Cancer Research, Oncology, Computer Networks and Communications and Plant Science, having authored 56 papers that have together received 6.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), NF-κB Signaling Pathways (9 papers), Nonlinear Dynamics and Pattern Formation (7 papers), RNA Research and Splicing (6 papers), Circadian rhythm and melatonin (6 papers), Cancer-related gene regulation (5 papers), Light effects on plants (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Aging (76 citations), Cancer Research (594 citations), Spectroscopy (638 citations) and Cell Biology (533 citations). Jana Wolf has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Dorothea Busse, Matthias Selbach, Björn Schwanhäußer, Gunnar Dittmar, Johannes Schuchhardt, Na Li, Wei Chen, Reinhart Heinrich, Sabine Becker-Weimann and Achim Kramer. Their work appears in journals such as Nature Communications, Biophysical Journal, Bioinformatics, FEBS Journal and Nature.
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.