Jens Behrends

743 citations
9 papers · 566 · h-index 8

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 4
    • PI3K/AKT/mTOR signaling in cancer 3
    • Ion channel regulation and function 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer-related gene regulation 2
    • Metabolism, Diabetes, and Cancer 1
    • Machine Learning in Bioinformatics 1
    • Kruppel-like factors research 1

Jens Behrends

9 papers receiving 546 citations

Peers

Jens Behrends
Comparison fields: 5 of 56
  • Cell Biology 111
  • Endocrinology, Diabetes and Metabolism 109
  • Molecular Biology 429
  • Behavioral Neuroscience 9
  • Physiology 61
Replace Mark A. Seyfred with:
Mark A. Seyfred United States
Sarah Lambert-Langlais France
Susanne R. Keller United States
Serge Clément Belgium
Samira Alliouachene United Kingdom
Alexandra Dace France
Kumiko Kojima Japan
Gerard Ruiz‐Babot United Kingdom
Miranda Menniti Italy
Susan E. Stred United States
Jens Behrends relative to Mark A. Seyfred United States Mark A. Seyfred's profile →
Citations per field
00.5×
Mark A. Seyfred · 1×
Citations per year

Countries citing papers authored by Jens Behrends

Since Specialization
Citations

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

Fields of papers citing papers by Jens Behrends

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2001284
2 2002100
3 199571
4 199545
5 199927
6 199820
7 200211
8 20057
9 19991

About Jens Behrends

Jens Behrends is a scholar working on Molecular Biology, Behavioral Neuroscience, Sensory Systems, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 9 papers that have together received 566 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Ion channel regulation and function (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related gene regulation (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Machine Learning in Bioinformatics (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Cell Biology (111 citations), Endocrinology, Diabetes and Metabolism (109 citations), Molecular Biology (429 citations), Behavioral Neuroscience (9 citations) and Physiology (61 citations). Jens Behrends has collaborated with scholars based in Germany, Belgium and Canada. Frequent co-authors include Stéphane Schurmans, Serge Clément, Jacques E. Dumont, Josef Penninger, Christophé Erneux, Xavier Pesesse, Margaret Doherty, Jean‐François Tanti, Willy Malaisse and Y. Le Marchand‐Brustel. Their work appears in journals such as Hormone Research in Paediatrics, Biochimie, Endocrinology, Diabetes and Novartis Foundation symposium.

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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