Daniela Ludwig
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Ubiquitin and proteasome pathways
- Metabolomics and Mass Spectrometry Studies
Papers in ⓘ
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Elke Krüger (2 shared papers)Peter‐M. Kloetzel (2 shared papers)Sylvia Heink (2 shared papers)Markus Ralser (7 shared papers)Michael Mülleder (5 shared papers)Vadim Demichev (3 shared papers)Fengchao Yu (1 shared paper)Stephanie Kaspar‐Schoenefeld (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)Nature Communications (2 papers)PROTEOMICS (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Infectious Diseases (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniela Ludwig
12 papers receiving 619 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Spectroscopy 116
- Molecular Biology 407
- Cell Biology 80
- Immunology 98
- Oncology 124
Countries citing papers authored by Daniela Ludwig
This map shows the geographic impact of Daniela Ludwig'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 Daniela Ludwig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Ludwig more than expected).
Fields of papers citing papers by Daniela Ludwig
This network shows the impact of papers produced by Daniela Ludwig. 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 Daniela Ludwig. The network helps show where Daniela Ludwig may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Ludwig, 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 | 2005 | 221 | |
| 2 | dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts Hit paper breakdown → | 2022 | 202 |
| 3 | 2005 | 92 | |
| 4 | 2005 | 32 | |
| 5 | 2006 | 29 | |
| 6 | 2022 | 20 | |
| 7 | 1996 | 14 | |
| 8 | 2024 | 14 | |
| 9 | 2007 | 3 | |
| 10 | 2004 | 3 | |
| 11 | 2025 | 1 | |
| 12 | 2005 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Daniela Ludwig
Daniela Ludwig is a scholar working on Gastroenterology, Spectroscopy, Pulmonary and Respiratory Medicine, Neurology and Oncology, having authored 15 papers that have together received 632 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Peptidase Inhibition and Analysis (2 papers), Effects of Radiation Exposure (2 papers), Ubiquitin and proteasome pathways (2 papers), Mosquito-borne diseases and control (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Spectroscopy (116 citations), Molecular Biology (407 citations), Cell Biology (80 citations), Immunology (98 citations) and Oncology (124 citations). Daniela Ludwig has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Elke Krüger, Peter‐M. Kloetzel, Sylvia Heink, Markus Ralser, Michael Mülleder, Vadim Demichev, Fengchao Yu, Stephanie Kaspar‐Schoenefeld, Kathryn S. Lilley and George Rosenberger. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Nature Communications, PROTEOMICS, Proceedings of the National Academy of Sciences and The Journal of Infectious Diseases.
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.