Bertram Klinger

2.3k citations
29 papers · 1.1k indexed · 1 hit paper · h-index 15

Bertram Klinger

28 papers receiving 1.1k citations

Hit Papers

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

Peers

Bertram Klinger
Comparison fields: 5 of 106
  • Cancer Research 227
  • Molecular Biology 764
  • Oncology 295
  • Immunology 173
  • Biophysics 46
Replace Anja Sieber with:
Anja Sieber Germany
Sriganesh Srihari Australia
Mariangela Russo Italy
Christian H. Holland Germany
Costas Mitsopoulos United Kingdom
Robert B. Faryabi United States
Anil Korkut United States
Martine H. van Miltenburg Netherlands
Jonathan A. Ewald United States
Andrea H. Bild United States
Bertram Klinger relative to Anja Sieber Germany Anja Sieber's profile →
Citations per field
00.5×1.5×
Anja Sieber · 1×
Citations per year

Countries citing papers authored by Bertram Klinger

Since Specialization
Citations

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

Fields of papers citing papers by Bertram Klinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20231
3 20230
4 20215
5 202146
6 20206
7 202024
8 202010
9 201964
10 201922
11 20196
12 20186
13 201814
14 201773
15 201752
16 201741
17
Perturbation-response genes reveal signaling footprints in cancer gene expressionbreakdown →
2017444
18 201512
19 201214
20 201047

About Bertram Klinger

Bertram Klinger is a scholar working on Cancer Research, Modeling and Simulation and Molecular Biology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Computational Drug Discovery Methods (5 papers), Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (5 papers), RNA modifications and cancer (5 papers), Genomics and Chromatin Dynamics (5 papers), Cancer, Hypoxia, and Metabolism (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (227 citations), Molecular Biology (764 citations) and Oncology (295 citations). Bertram Klinger has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Nils Blüthgen, Anja Sieber, Florian Uhlitz, Julio Sáez-Rodríguez, Mathew J. Garnett, Martina Klünemann, Sascha Sauer, Michaël Schubert, Reinhold Schäfer and Christine Sers. Their work appears in journals such as Molecular Systems Biology, Nature Communications, Bioinformatics, Nucleic Acids Research and Cell Death and Disease.

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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