Reimar Abraham

4.2k citations
16 papers · 3.0k indexed · 2 hit papers · h-index 10

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 3
    • Cancer, Hypoxia, and Metabolism 2

Reimar Abraham

16 papers receiving 3.0k citations

Hit Papers

Regulation of autophagy and the ubiquitin–proteasome system by the FoxO transcriptional network during muscle atrophy 2015 · 533 citations
53319992026200820174008001.2k

Peers

Reimar Abraham
Comparison fields: 5 of 104
  • Aging 82
  • Nephrology 261
  • Molecular Biology 2.1k
  • Immunology and Allergy 173
  • Cell Biology 409
Replace Shinji Hatakeyama with:
Shinji Hatakeyama Japan
Joanne Bruno United States
Tata Nageswara Rao United States
Chung‐Hyun Cho South Korea
Laurent Muller France
Barbara A. Christy United States
Ronald D. Cohn United States
Michael P. Czubryt Canada
Philip Babij United States
Reimar Abraham relative to Shinji Hatakeyama Japan Shinji Hatakeyama's profile →
Citations per field
00.5×1.5×2.5×
Shinji Hatakeyama · 1×
Citations per year

Countries citing papers authored by Reimar Abraham

Since Specialization
Citations

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

Fields of papers citing papers by Reimar Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20174
2 201685
3 2016278
4 20164
5 20162
6
Regulation of autophagy and the ubiquitin–proteasome system by the FoxO transcriptional network during muscle atrophy
Hit paper breakdown →
2015533
7 201557
8 20107
9 2009388
10 2009184
11 200865
12 200616
13 200568
14 20011
15
EGF receptor transactivation by G-protein-coupled receptors requires metalloproteinase cleavage of proHB-EGF
Hit paper breakdown →
19991328
16 19967

About Reimar Abraham

Reimar Abraham is a scholar working on Aging, Cancer Research, Molecular Biology, Endocrine and Autonomic Systems and Nephrology, having authored 16 papers that have together received 3.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Fibroblast Growth Factor Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Kruppel-like factors research (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Adipose Tissue and Metabolism (2 papers), Tissue Engineering and Regenerative Medicine (1 paper) and Coenzyme Q10 studies and effects (1 paper). The work is most often cited by research in Aging (82 citations), Nephrology (261 citations), Molecular Biology (2.1k citations), Immunology and Allergy (173 citations) and Cell Biology (409 citations). Reimar Abraham has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Axel Ullrich, Christian Wallasch, Henrik Daub, Norbert Prenzel, Esther Zwick, Michael Leserer, Bert Blaauw, Marco Sandri, Giulia Milan and Cristina Mammucari. Their work appears in journals such as Nature Communications, Cancer Research, The FASEB Journal, Journal of Clinical Oncology and Frontiers in bioscience.

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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2026