Markus Schirle
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 8
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways 20
- Protein Degradation and Inhibitors 20
- vaccines and immunoinformatics approaches 10
- Microbiology top 1%
- Immunology top 2%
- Immunotherapy and Immune Responses 11
- Oncology top 2%
- Peptidase Inhibition and Analysis 9
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- Multiple Myeloma Research and Treatments 7
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- Click Chemistry and Applications 6
- Co-authors
- Bernhard KüsterMarcus BantscheffGavain M.A. SweetmanJens M. RickStefan StevanovićJohn A. TallaricoParag MallickRuedi Aebersold
- Journals
- ACS Chemical Biology (8 papers)Journal of Biological Chemistry (5 papers)Angewandte Chemie International Edition (4 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Markus Schirle
63 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Spectroscopy 1.6k
- Molecular Biology 5.6k
- Microbiology 359
- Immunology 1.2k
- Oncology 1.3k
Countries citing papers authored by Markus Schirle
This map shows the geographic impact of Markus Schirle'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 Markus Schirle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schirle more than expected).
Fields of papers citing papers by Markus Schirle
This network shows the impact of papers produced by Markus Schirle. 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 Markus Schirle. The network helps show where Markus Schirle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Schirle, 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 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 59 | |
| 4 | 2022 | 25 | |
| 5 | 2021 | 114 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 91 | |
| 8 | 2020 | 94 | |
| 9 | 2020 | 100 | |
| 10 | 2019 | 228 | |
| 11 | 2019 | 294 | |
| 12 | 2017 | 18 | |
| 13 | 2012 | 124 | |
| 14 | 2009 | 75 | |
| 15 | Quantitative mass spectrometry in proteomics: a critical reviewbreakdown → | 2007 | 1253 |
| 16 | 2004 | 43 | |
| 17 | 2002 | 3 | |
| 18 | 2001 | 18 | |
| 19 | 2000 | 106 | |
| 20 | 1998 | 209 |
About Markus Schirle
Markus Schirle is a scholar working on Molecular Biology, Hematology, Virology, Immunology and Spectroscopy, having authored 66 papers that have together received 7.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (20 papers), Protein Degradation and Inhibitors (20 papers), Immunotherapy and Immune Responses (11 papers), vaccines and immunoinformatics approaches (10 papers), Peptidase Inhibition and Analysis (9 papers), Advanced Proteomics Techniques and Applications (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Click Chemistry and Applications (6 papers). The work is most often cited by research in Spectroscopy (1.6k citations), Molecular Biology (5.6k citations), Microbiology (359 citations), Immunology (1.2k citations) and Oncology (1.3k citations). Markus Schirle has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Bernhard Küster, Marcus Bantscheff, Gavain M.A. Sweetman, Jens M. Rick, Stefan Stevanović, John A. Tallarico, Parag Mallick, Ruedi Aebersold, Daniel K. Nomura and Jeffrey M. McKenna. Their work appears in journals such as ACS Chemical Biology, Journal of Biological Chemistry, Angewandte Chemie International Edition, Cell chemical biology and Nature Chemical Biology.
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.