Verena Becker

1.1k citations
20 papers · 789 indexed · h-index 12

Impact in

Papers in

    • Cytokine Signaling Pathways and Interactions 4
    • PARP inhibition in cancer therapy 2
    • Erythropoietin and Anemia Treatment 3

Verena Becker

19 papers receiving 778 citations

Peers

Verena Becker
Comparison fields: 5 of 111
  • Modeling and Simulation 43
  • Hematology 84
  • Biophysics 40
  • Oncology 189
  • Molecular Biology 474
Replace Adam L. MacLean with:
Adam L. MacLean United States
Kapil Gadkar United States
Szymon Stoma Switzerland
Xiaobo Zhou United States
Rumana Rashid United States
Marc Aubry France
Walter de Back Germany
Zhike Zi Germany
Andrea Degasperi United Kingdom
Yingtao Bi United States
Verena Becker relative to Adam L. MacLean United States Adam L. MacLean's profile →
Citations per field
00.5×1.5×2.4×
Adam L. MacLean · 1×
Citations per year

Countries citing papers authored by Verena Becker

Since Specialization
Citations

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

Fields of papers citing papers by Verena Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Verena Becker, 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 Verena Becker Line = papers co-authored together Verena Becker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2017158
2 2010116
3 201094
4 200881
5 201271
6 200461
7 201146
8 200835
9 201731
10 200223
11 202118
12 200813
13 202011
14 20119
15 20127
16 20115
17 20215
18 20174
19 19731
20 20250

About Verena Becker

Verena Becker is a scholar working on Oncology, Hematology, Gastroenterology, Anesthesiology and Pain Medicine and Oral Surgery, having authored 20 papers that have together received 789 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Receptor Mechanisms and Signaling (4 papers), Gene Regulatory Network Analysis (4 papers), Erythropoietin and Anemia Treatment (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Computational Drug Discovery Methods (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Modeling and Simulation (43 citations), Hematology (84 citations), Biophysics (40 citations), Oncology (189 citations) and Molecular Biology (474 citations). Verena Becker has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Ursula Klingmüller, Jens Timmer, Andreas Raue, Marcel Schilling, Peter K. Sorger, Julie Bachmann, Jia‐Ren Lin, Levi A. Garraway, Parin Shah and Sarah A. Boswell. Their work appears in journals such as BMC Systems Biology, Journal of Biological Chemistry, PLoS ONE, Energy Technology and Scientific Reports.

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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