Anja Sieber

2.4k citations
19 papers · 1.2k indexed · 1 hit paper · h-index 12

Anja Sieber

18 papers receiving 1.1k citations

Hit Papers

Perturbation-response genes reveal signaling footprints i...4442017202620202023100200300400

Peers

Anja Sieber
Comparison fields: 5 of 99
  • Cancer Research 185
  • Molecular Biology 775
  • Biophysics 60
  • Immunology 195
  • Oncology 227
Replace Bertram Klinger with:
Bertram Klinger Germany
Silvia Santos United Kingdom
Andrew L. Ji United States
Darren R. Tyson United States
Luz García‐Alonso United Kingdom
Ioannis N. Anastopoulos United States
Christian H. Holland Germany
Robert B. Faryabi United States
Fabiana C. Morales United States
Michaël Schubert Netherlands
Anja Sieber relative to Bertram Klinger Germany Bertram Klinger's profile →
Citations per field
00.5×1.7×
Bertram Klinger · 1×
Citations per year

Countries citing papers authored by Anja Sieber

Since Specialization
Citations

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

Fields of papers citing papers by Anja Sieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20251
2 20240
3 20231
4 20222
5 20215
6 202146
7 20206
8 201922
9 20186
10 201814
11 201773
12 201741
13
Perturbation-response genes reveal signaling footprints in cancer gene expressionbreakdown →
2017444
14 201531
15 2014129
16 2013119
17 2011148
18 199735
19 199629

About Anja Sieber

Anja Sieber is a scholar working on Biophysics, Computational Theory and Mathematics and Molecular Biology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Melanoma and MAPK Pathways (5 papers), Computational Drug Discovery Methods (4 papers), Cell Image Analysis Techniques (4 papers), Pluripotent Stem Cells Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Bioinformatics and Genomic Networks (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cancer Research (185 citations), Molecular Biology (775 citations) and Biophysics (60 citations). Anja Sieber has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Nils Blüthgen, Bertram Klinger, Julio Sáez-Rodríguez, Mathew J. Garnett, Florian Uhlitz, Sascha Sauer, Michaël Schubert, Martina Klünemann, Raphaela Fritsche‐Guenther and Franziska Witzel. Their work appears in journals such as Bioinformatics, Molecular Systems Biology, Nature Communications, iScience and Molecular Biology of the Cell.

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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