Martin Frejno
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms 2
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications 9
- Mass Spectrometry Techniques and Applications 3
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 3
- Bioinformatics and Genomic Networks 3
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Degradation and Inhibitors 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Bernhard KüsterMathias WilhelmChen MengTobias SchmidtJana ZechaDaniel P. ZolgDominic HelmPatroklos Samaras
- Cited by
- AgingSpectroscopyMolecular Biology
- Journals
- Nucleic Acids Research (2 papers)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Martin Frejno
17 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Aging 37
- Spectroscopy 283
- Molecular Biology 925
- Cancer Research 129
- Cell Biology 94
Countries citing papers authored by Martin Frejno
This map shows the geographic impact of Martin Frejno'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 Martin Frejno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Frejno more than expected).
Fields of papers citing papers by Martin Frejno
This network shows the impact of papers produced by Martin Frejno. 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 Martin Frejno. The network helps show where Martin Frejno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Frejno, 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 | 2025 | 1 | |
| 2 | 2025 | 9 | |
| 3 | 2021 | 25 | |
| 4 | 2021 | 51 | |
| 5 | 2020 | 49 | |
| 6 | 2020 | 32 | |
| 7 | 2019 | 129 | |
| 8 | 2019 | 44 | |
| 9 | A deep proteome and transcriptome abundance atlas of 29 healthy human tissuesbreakdown → | 2019 | 449 |
| 10 | 2017 | 24 | |
| 11 | 2017 | 148 | |
| 12 | 2017 | 35 | |
| 13 | 2017 | 53 | |
| 14 | 2016 | 102 | |
| 15 | 2016 | 14 | |
| 16 | 2015 | 93 | |
| 17 | 2011 | 32 |
About Martin Frejno
Martin Frejno is a scholar working on Aging, Spectroscopy and Molecular Biology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Bioinformatics and Genomic Networks (3 papers), Mass Spectrometry Techniques and Applications (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Protein Degradation and Inhibitors (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Aging (37 citations), Spectroscopy (283 citations) and Molecular Biology (925 citations). Martin Frejno has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Bernhard Küster, Mathias Wilhelm, Chen Meng, Tobias Schmidt, Jana Zecha, Daniel P. Zolg, Dominic Helm, Patroklos Samaras, Siegfried Gessulat and Lihua Li. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.
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.