Marc Kirchner
Impact in
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Ubiquitin and proteasome pathways
Papers in
- Spectroscopy 17
- Advanced Proteomics Techniques and Applications 13
- Mass Spectrometry Techniques and Applications 10
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- Metabolomics and Mass Spectrometry Studies 9
- Identification and Quantification in Food 2
- Machine Learning in Bioinformatics 2
- Co-authors
- Hanno Steen (20 shared papers)Fred A. Hamprecht (15 shared papers)Bernhard Y. Renard (10 shared papers)Judith A. Steen (12 shared papers)Dolores Di Vizio (1 shared paper)Michael R. Freeman (1 shared paper)Wei Yang (1 shared paper)Michael Hanselmann (3 shared papers)
- Journals
- Bioinformatics (5 papers)Molecular & Cellular Proteomics (4 papers)Analytical Chemistry (3 papers)Journal of Proteome Research (3 papers)International Journal of Mass Spectrometry (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Marc Kirchner
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 127
- Spectroscopy 496
- Molecular Biology 770
- Parasitology 69
- Cell Biology 164
- Aging 8
Countries citing papers authored by Marc Kirchner
This map shows the geographic impact of Marc Kirchner'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 Marc Kirchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Kirchner more than expected).
Fields of papers citing papers by Marc Kirchner
This network shows the impact of papers produced by Marc Kirchner. 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 Marc Kirchner. The network helps show where Marc Kirchner may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Kirchner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 233 | |
| 2 | 2008 | 151 | |
| 3 | 2008 | 102 | |
| 4 | 2011 | 80 | |
| 5 | 2009 | 78 | |
| 6 | 2008 | 69 | |
| 7 | 2014 | 61 | |
| 8 | 2008 | 58 | |
| 9 | 2009 | 57 | |
| 10 | 2022 | 49 | |
| 11 | 2011 | 47 | |
| 12 | 2010 | 34 | |
| 13 | 2011 | 29 | |
| 14 | 2012 | 23 | |
| 15 | 2013 | 23 | |
| 16 | 2007 | 23 | |
| 17 | 2010 | 21 | |
| 18 | 2010 | 20 | |
| 19 | 2012 | 19 | |
| 20 | 2011 | 18 |
About Marc Kirchner
Marc Kirchner is a scholar working on Spectroscopy, Molecular Biology, Signal Processing, Cell Biology and Oncology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (13 papers), Mass Spectrometry Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Microtubule and mitosis dynamics (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Identification and Quantification in Food (2 papers), Machine Learning in Bioinformatics (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Spectroscopy (496 citations), Molecular Biology (770 citations), Parasitology (69 citations), Cell Biology (164 citations) and Aging (8 citations). Marc Kirchner has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Hanno Steen, Fred A. Hamprecht, Bernhard Y. Renard, Judith A. Steen, Dolores Di Vizio, Michael R. Freeman, Wei Yang, Michael Hanselmann, Kenneth C. Parker and Kristine Glunde. Their work appears in journals such as Bioinformatics, Molecular & Cellular Proteomics, Analytical Chemistry, Journal of Proteome Research and International Journal of Mass Spectrometry.
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.