Marcel Schilling
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- Circular RNAs in diseases 2
- Single-cell and spatial transcriptomics 1
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 2
- Co-authors
- Nikolaus Rajewsky (3 shared papers)Filippos Klironomos (2 shared papers)Stefanie Grosswendt (1 shared paper)Andrei Filipchyk (1 shared paper)Mark Manzano (1 shared paper)Eva Gottwein (1 shared paper)Lars Bertram (7 shared papers)Christina M. Lill (6 shared papers)
- Journals
- Brain Communications (2 papers)Alzheimer s & Dementia (1 paper)Alzheimer s Research & Therapy (1 paper)Frontiers in Human Neuroscience (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Marcel Schilling
9 papers receiving 371 citations
Peers
Comparison fields: 5 of 57
- Aging 32
- Cancer Research 234
- Molecular Biology 315
- Biological Psychiatry 4
- Developmental Neuroscience 5
Countries citing papers authored by Marcel Schilling
This map shows the geographic impact of Marcel Schilling'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 Schilling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Schilling more than expected).
Fields of papers citing papers by Marcel Schilling
This network shows the impact of papers produced by Marcel Schilling. 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 Schilling. The network helps show where Marcel Schilling may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcel Schilling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 224 | |
| 2 | 2014 | 50 | |
| 3 | 2022 | 33 | |
| 4 | 2018 | 25 | |
| 5 | 2022 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2013 | 0 |
About Marcel Schilling
Marcel Schilling is a scholar working on Molecular Biology, Cancer Research, Neurology, Sociology and Political Science and Physiology, having authored 11 papers that have together received 373 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Aging (32 citations), Cancer Research (234 citations), Molecular Biology (315 citations), Biological Psychiatry (4 citations) and Developmental Neuroscience (5 citations). Marcel Schilling has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Nikolaus Rajewsky, Filippos Klironomos, Stefanie Grosswendt, Andrei Filipchyk, Mark Manzano, Eva Gottwein, Lars Bertram, Christina M. Lill, Valerija Dobričić and Laura Parkkinen. Their work appears in journals such as Brain Communications, Alzheimer s & Dementia, Alzheimer s Research & Therapy, Frontiers in Human Neuroscience and Translational Psychiatry.
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.