Jan Muntel
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
Papers in
- Spectroscopy 12
- Advanced Proteomics Techniques and Applications 12
- Mass Spectrometry Techniques and Applications 12
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- Metabolomics and Mass Spectrometry Studies 6
- Genomics and Phylogenetic Studies 4
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Lukas ReiterRoland BrudererDörte BecherMichael HeckerHanno SteenOliver M. BernhardtTejas GandhiOlga Vitek
- Journals
- Molecular & Cellular Proteomics (6 papers)Journal of Proteome Research (4 papers)Scientific Reports (2 papers)Analytical Chemistry (2 papers)Biochimie (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Jan Muntel
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Spectroscopy 499
- Molecular Biology 905
- Genetics 191
- Physiology 119
- Physiology 16
Countries citing papers authored by Jan Muntel
This map shows the geographic impact of Jan Muntel'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 Jan Muntel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Muntel more than expected).
Fields of papers citing papers by Jan Muntel
This network shows the impact of papers produced by Jan Muntel. 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 Jan Muntel. The network helps show where Jan Muntel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan Muntel, 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 | 2022 | 22 | |
| 2 | 2022 | 40 | |
| 3 | 2022 | 29 | |
| 4 | 2022 | 35 | |
| 5 | 2020 | 22 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 115 | |
| 8 | 2019 | 118 | |
| 9 | 2019 | 49 | |
| 10 | 2016 | 23 | |
| 11 | 2015 | 104 | |
| 12 | 2015 | 60 | |
| 13 | 2015 | 24 | |
| 14 | 2014 | 78 | |
| 15 | 2014 | 20 | |
| 16 | 2013 | 44 | |
| 17 | 2013 | 20 | |
| 18 | 2012 | 27 | |
| 19 | 2011 | 57 | |
| 20 | 2011 | 80 |
About Jan Muntel
Jan Muntel is a scholar working on Spectroscopy, Molecular Biology, Genetics, Nephrology and Neurology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), Mass Spectrometry Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Genomics and Phylogenetic Studies (4 papers), Bacterial Genetics and Biotechnology (4 papers), Glycosylation and Glycoproteins Research (2 papers), Bacteriophages and microbial interactions (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Spectroscopy (499 citations), Molecular Biology (905 citations), Genetics (191 citations), Physiology (119 citations) and Physiology (16 citations). Jan Muntel has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Lukas Reiter, Roland Bruderer, Dörte Becher, Michael Hecker, Hanno Steen, Oliver M. Bernhardt, Tejas Gandhi, Olga Vitek, Judith A. Steen and Ting Huang. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Scientific Reports, Analytical Chemistry and Biochimie.
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.