Marcel Scheideler

5.3k citations
70 papers · 3.6k indexed · h-index 32
    • MicroRNA in disease regulation 27
    • Cancer-related molecular mechanisms research 10
    • RNA Research and Splicing 11
    • Circular RNAs in diseases 9
    • RNA Interference and Gene Delivery 7
  • Genetics top 5%
  • Physiology top 5%
    • Adipose Tissue and Metabolism 15
    • Telomeres, Telomerase, and Senescence 5
  • Aging top 5%
    • Adipokines, Inflammation, and Metabolic Diseases 9

Marcel Scheideler

70 papers receiving 3.6k citations

Peers

Marcel Scheideler
Comparison fields: 5 of 134
  • Cancer Research 1.3k
  • Molecular Biology 2.1k
  • Genetics 287
  • Physiology 687
  • Aging 42
Replace Carlo Gaetano with:
Carlo Gaetano Italy
Roberto Tamma Italy
Robert A. Screaton Canada
Daniel Braas United States
Arturo V. Orjalo United States
Tsutomu Ogura Japan
Nicholas Joza France
Andrew J. H. Smith United Kingdom
Ludger Klein‐Hitpaß Germany
Jolene J. Windle United States
Marcel Scheideler relative to Carlo Gaetano Italy Carlo Gaetano's profile →
Citations per field
00.5×1.5×
Carlo Gaetano · 1×
Citations per year

Countries citing papers authored by Marcel Scheideler

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Scheideler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2019104
2 201979
3 201812
4 201850
5 201777
6 20171
7 201639
8 201652
9 201641
10 20155
11 201529
12 201429
13 201343
14 201336
15 201391
16 20121
17 201241
18 201132
19 200834
20 2000118

About Marcel Scheideler

Marcel Scheideler is a scholar working on Cancer Research, Behavioral Neuroscience, Physiology, Molecular Biology and Aging, having authored 70 papers that have together received 3.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (27 papers), Adipose Tissue and Metabolism (15 papers), RNA Research and Splicing (11 papers), Cancer-related molecular mechanisms research (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Circular RNAs in diseases (9 papers), RNA Interference and Gene Delivery (7 papers) and Telomeres, Telomerase, and Senescence (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (2.1k citations), Genetics (287 citations), Physiology (687 citations) and Aging (42 citations). Marcel Scheideler has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Michael Karbiener, Ez‐Zoubir Amri, Zlatko Trajanoski, Gérard Ailhaud, Christian Dani, Peter Opriessnig, Andreas Prokesch, Christine Papak, Johannes Grillari and Christoph Fischer. Their work appears in journals such as BMC Genomics, International Journal of Molecular Sciences, Journal of Biotechnology, Nucleic Acids Research and Stem Cells.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026