Jana Wolf

9.1k citations
56 papers · 6.1k indexed · 1 hit paper · h-index 23

Impact in

    • 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

Jana Wolf

55 papers receiving 6.0k citations

Hit Papers

Global quantification of mammalian gene expression control 2011 · 4.7k citations
4.7k201120262016202110002.0k3.0k4.0k

Peers

Jana Wolf
Comparison fields: 5 of 155
  • Molecular Biology 4.5k
  • Aging 76
  • Cancer Research 594
  • Spectroscopy 638
  • Cell Biology 533
Replace Johannes Schuchhardt with:
Johannes Schuchhardt Germany
Dorothea Busse Germany
Attila Csordás United Kingdom
Yoshinori Satomi Japan
Igor Štagljar Canada
Nikolaj Blom Denmark
Tao Xu United States
Etienne Waelkens Belgium
Eran Eden Israel
Martin Eisenacher Germany
Jana Wolf relative to Johannes Schuchhardt Germany Johannes Schuchhardt's profile →
Citations per field
00.5×1.5×
Johannes Schuchhardt · 1×
Citations per year

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-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.

Border = papers with Jana Wolf Line = papers co-authored together Jana Wolf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20232
4 20231
5 20233
6 202146
7 20216
8 20213
9 202125
10 202024
11 20208
12 201962
13 201925
14 201831
15 201328
16 201321
17
Global quantification of mammalian gene expression control
Hit paper breakdown →
20114731
18 200530
19 2004129
20 200129

About Jana Wolf

Jana Wolf is a scholar working on Endocrine and Autonomic Systems, Cancer Research, Molecular Biology, Aging and Computer Networks and Communications, 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.

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