Michael Mülleder
- Aging top 5%
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 13
- Mass Spectrometry Techniques and Applications 7
- Molecular Biology top 5%
- Fungal and yeast genetics research 15
- Microbial Metabolic Engineering and Bioproduction 13
- Bioinformatics and Genomic Networks 8
- Metabolomics and Mass Spectrometry Studies 7
- Mitochondrial Function and Pathology 3
- Food Science top 5%
- Fermentation and Sensory Analysis 4
- Biochemistry top 5%
- Co-authors
- Markus RalserVadim DemichevAleksej ZelezniakJakob VowinckelMohammad Tauqeer AlamChristoph B. MessnerUwe SauerKatharina Bluemlein
- Cited by
- AgingSpectroscopyMolecular Biology
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Michael Mülleder
47 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Aging 56
- Spectroscopy 433
- Molecular Biology 1.6k
- Food Science 251
- Biochemistry 85
Countries citing papers authored by Michael Mülleder
This map shows the geographic impact of Michael Mülleder'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 Michael Mülleder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mülleder more than expected).
Fields of papers citing papers by Michael Mülleder
This network shows the impact of papers produced by Michael Mülleder. 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 Michael Mülleder. The network helps show where Michael Mülleder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Mülleder, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 59 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 32 | |
| 13 | 2022 | 74 | |
| 14 | dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amountsbreakdown → | 2022 | 202 |
| 15 | 2022 | 6 | |
| 16 | 2022 | 13 | |
| 17 | Ultra-fast proteomics with Scanning SWATHbreakdown → | 2021 | 179 |
| 18 | 2020 | 11 | |
| 19 | 2020 | 47 | |
| 20 | 2016 | 120 |
About Michael Mülleder
Michael Mülleder is a scholar working on Aging, Spectroscopy and Molecular Biology, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (15 papers), Advanced Proteomics Techniques and Applications (13 papers), Microbial Metabolic Engineering and Bioproduction (13 papers), Bioinformatics and Genomic Networks (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (7 papers), Fermentation and Sensory Analysis (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Aging (56 citations), Spectroscopy (433 citations) and Molecular Biology (1.6k citations). Michael Mülleder has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Markus Ralser, Vadim Demichev, Aleksej Zelezniak, Jakob Vowinckel, Mohammad Tauqeer Alam, Christoph B. Messner, Uwe Sauer, Katharina Bluemlein, Floriana Capuano and Enrica Calvani. Their work appears in journals such as Cell, Cell Systems, PROTEOMICS, Nature Microbiology and eLife.
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.