Yulia Butscheid
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Ubiquitin and proteasome pathways
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Advanced Biosensing Techniques and Applications
- Glycosylation and Glycoproteins Research
Papers in
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- Metabolomics and Mass Spectrometry Studies 1
- Plant Reproductive Biology 1
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- Biomedical Research and Pathophysiology 2
- Co-authors
- Lukas Reiter (1 shared paper)Roland Bruderer (1 shared paper)Saša M. Miladinović (1 shared paper)Olga Vitek (1 shared paper)Claudia Escher (1 shared paper)Tejas Gandhi (1 shared paper)Oliver M. Bernhardt (1 shared paper)Lin‐Yang Cheng (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (1 paper)Journal of Antimicrobial Chemotherapy (1 paper)Molecular Reproduction and Development (1 paper)Publikationsserver (Universitat Marburg) (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Yulia Butscheid
3 papers receiving 830 citations
Yulia Butscheid's Hit Papers
Peers
Comparison fields: 5 of 101
- Spectroscopy 373
- Molecular Biology 533
- Aging 6
- Cell Biology 53
- Pharmacology 23
Countries citing papers authored by Yulia Butscheid
This map shows the geographic impact of Yulia Butscheid'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 Yulia Butscheid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulia Butscheid more than expected).
Fields of papers citing papers by Yulia Butscheid
This network shows the impact of papers produced by Yulia Butscheid. 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 Yulia Butscheid. The network helps show where Yulia Butscheid may publish in the future.
Co-authors
The 22 scholars most cited alongside Yulia Butscheid, 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 | Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues Hit paper breakdown → | 2015 | 804 |
| 2 | 2005 | 33 | |
| 3 | 2025 | 2 | |
| 4 | 2006 | 0 |
About Yulia Butscheid
Yulia Butscheid is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Spectroscopy and Reproductive Medicine, having authored 4 papers that have together received 839 indexed citations. Recurring topics across this work include Biomedical Research and Pathophysiology (2 papers), Antibiotic Use and Resistance (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Proteins in Food Systems (1 paper), Sperm and Testicular Function (1 paper) and Plant Reproductive Biology (1 paper). The work is most often cited by research in Spectroscopy (373 citations), Molecular Biology (533 citations), Aging (6 citations), Cell Biology (53 citations) and Pharmacology (23 citations). Yulia Butscheid has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Lukas Reiter, Roland Bruderer, Saša M. Miladinović, Olga Vitek, Claudia Escher, Tejas Gandhi, Oliver M. Bernhardt, Lin‐Yang Cheng, Simon Messner and Tobias Ehrenberger. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Antimicrobial Chemotherapy, Molecular Reproduction and Development and Publikationsserver (Universitat Marburg).
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.