Marcel Martin
- Molecular Biology top 0.2%
- Genomics and Phylogenetic Studies 11
- RNA modifications and cancer 6
- RNA and protein synthesis mechanisms 5
- Single-cell and spatial transcriptomics 3
- Ecology top 0.2%
- Cancer Research top 0.5%
- MicroRNA in disease regulation 2
- Plant Science top 0.2%
- Aging top 1%
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- Neuroblastoma Research and Treatments 4
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- Lung Cancer Research Studies 3
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- Cell Image Analysis Techniques 2
- Co-authors
- Sven RahmannJohn P. DidionFrancis S. CollinsTobias MarschallBernhard HorsthemkeMichael ZeschnigkLudger Klein‐HitpaßNorbert Bornfeld
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Marcel Martin
30 papers receiving 22.9k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Molecular Biology 12.7k
- Ecology 4.7k
- Cancer Research 2.1k
- Plant Science 4.4k
- Aging 192
Countries citing papers authored by Marcel Martin
This map shows the geographic impact of Marcel Martin'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 Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Martin more than expected).
Fields of papers citing papers by Marcel Martin
This network shows the impact of papers produced by Marcel Martin. 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 Martin. The network helps show where Marcel Martin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcel Martin, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 70 | |
| 7 | 2019 | 40 | |
| 8 | 2018 | 31 | |
| 9 | 2017 | 162 | |
| 10 | 2016 | 22 | |
| 11 | 2016 | 128 | |
| 12 | Exome sequencing identifies recurrent somatic mutations in EIF1AX and SF3B1 in uveal melanoma with disomy 3breakdown → | 2013 | 369 |
| 13 | 2013 | 64 | |
| 14 | 2012 | 18 | |
| 15 | 2012 | 25 | |
| 16 | 2011 | 29 | |
| 17 | Cutadapt removes adapter sequences from high-throughput sequencing readsbreakdown → | 2011 | 21813 |
| 18 | Deep sequencing reveals differential expression of microRNAs in favourable versus unfavourable neuroblastoma | 2010 | 1 |
| 19 | 2010 | 147 | |
| 20 | 2009 | 30 |
About Marcel Martin
Marcel Martin is a scholar working on Biophysics, Cancer Research, Molecular Biology, Neurology and Bioengineering, having authored 32 papers that have together received 23.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), RNA modifications and cancer (6 papers), RNA and protein synthesis mechanisms (5 papers), Neuroblastoma Research and Treatments (4 papers), Single-cell and spatial transcriptomics (3 papers), Lung Cancer Research Studies (3 papers), MicroRNA in disease regulation (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Molecular Biology (12.7k citations), Ecology (4.7k citations), Cancer Research (2.1k citations), Plant Science (4.4k citations) and Aging (192 citations). Marcel Martin has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Sven Rahmann, John P. Didion, Francis S. Collins, Tobias Marschall, Bernhard Horsthemke, Michael Zeschnigk, Ludger Klein‐Hitpaß, Norbert Bornfeld, Claudia H.D. Metz and Alan G. Hinnebusch. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Nature Genetics, British Journal of Cancer and Human Molecular Genetics.
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.