Martin Behrend

704 citations
6 papers · 571 · h-index 5

Impact in

    • Cardiovascular Effects of Exercise
    • Cardiomyopathy and Myosin Studies
    • Cardiac electrophysiology and arrhythmias
  • Cell Biology top 10%
    • Skin and Cellular Biology Research
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Organ Transplantation Techniques and Outcomes 1
    • Transplantation: Methods and Outcomes 1
    • Wnt/β-catenin signaling in development and cancer 2
    • Kruppel-like factors research 1

Martin Behrend

6 papers receiving 562 citations

Peers

Martin Behrend
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 231
  • Cell Biology 162
  • Orthopedics and Sports Medicine 59
  • Immunology and Allergy 26
  • Molecular Biology 296
Replace J.G.H. Sterck with:
J.G.H. Sterck Netherlands
Lara Pizurki Switzerland
Irfan Ahsan United States
Anne Ahtikoski Finland
Sanae Soma Japan
Kirsten Heathcote United Kingdom
S. Baydanoff Bulgaria
Hermine E. Veenstra‐Knol Netherlands
Greg Markby United Kingdom
Walker Busby United States
Martin Behrend relative to J.G.H. Sterck Netherlands J.G.H. Sterck's profile →
Citations per field
00.5×10×14.4×
J.G.H. Sterck · 1×
Citations per year

Countries citing papers authored by Martin Behrend

Since Specialization
Citations

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

Fields of papers citing papers by Martin Behrend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown

About Martin Behrend

Martin Behrend is a scholar working on Surgery, Molecular Biology, Immunology, Nephrology and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 571 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (2 papers), Organ Transplantation Techniques and Outcomes (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Liver physiology and pathology (1 paper), Dialysis and Renal Disease Management (1 paper), Transplantation: Methods and Outcomes (1 paper), Cell Adhesion Molecules Research (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (231 citations), Cell Biology (162 citations), Orthopedics and Sports Medicine (59 citations), Immunology and Allergy (26 citations) and Molecular Biology (296 citations). Martin Behrend has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Werner W. Franke, Walter Birchmeier, Christine Gründ, Joerg Huelsken, Bettina Erdmann, Katja S. Grossmann, U. Günthert, Birgit Ledermann, Christof Thalhammer and Patricia Ruíz. Their work appears in journals such as The Journal of Cell Biology, Hypertension, American Journal of Kidney Diseases and PubMed.

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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