Andreas Prokesch

2.4k citations
50 papers · 1.6k indexed · h-index 23

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Cancer, Hypoxia, and Metabolism 7
    • MicroRNA in disease regulation 4
    • Adipose Tissue and Metabolism 17

Andreas Prokesch

50 papers receiving 1.6k citations

Peers

Andreas Prokesch
Comparison fields: 5 of 110
  • Cancer Research 342
  • Genetics 207
  • Physiology 386
  • Biochemistry 90
  • Molecular Biology 803
Replace Kazuya Yamada with:
Kazuya Yamada Japan
Ramendra K. Kundu United States
Per Flodby United States
Ignacio Rego‐Pérez Spain
Yunfang Wang China
Xiaowei Zheng Sweden
Peter Fraisl Belgium
Alexey Ushmorov Germany
Courtney T. Griffin United States
Tania Velletri Italy
Andreas Prokesch relative to Kazuya Yamada Japan Kazuya Yamada's profile →
Citations per field
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Kazuya Yamada · 1×
Citations per year

Countries citing papers authored by Andreas Prokesch

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Prokesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202428
3 20241
4 20197
5 201843
6 201877
7 201828
8 201722
9 201721
10 201730
11 201478
12 201410
13 20137
14 201364
15 201370
16 2011116
17 201038
18 200834
19 200826
20 2007307

About Andreas Prokesch

Andreas Prokesch is a scholar working on Cancer Research, Physiology, Structural Biology, Biochemistry and Aging, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Cancer, Hypoxia, and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Mesenchymal stem cell research (5 papers), Epigenetics and DNA Methylation (5 papers), Lipid metabolism and biosynthesis (5 papers), RNA Research and Splicing (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (342 citations), Genetics (207 citations), Physiology (386 citations), Biochemistry (90 citations) and Molecular Biology (803 citations). Andreas Prokesch has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Marcel Scheideler, Zlatko Trajanoski, Juliane Gertrude Bogner‐Strauß, Fátima Sánchez‐Cabo, Gerald Friedl, Reinhard Windhager, Michael Schupp, Jelena Krstić, Anita Jandrositz and Karl‐Heinz Preisegger. Their work appears in journals such as Scientific Reports, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, BMC Genomics, Histochemistry and Cell Biology and The FASEB Journal.

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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