Daniela Ludwig
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
-
- Ubiquitin and proteasome pathways
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Ubiquitin and proteasome pathways 2
- Fungal and yeast genetics research 1
-
- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Peter‐M. Kloetzel (2 shared papers)Elke Krüger (2 shared papers)Sylvia Heink (2 shared papers)Markus Ralser (7 shared papers)Michael Mülleder (5 shared papers)Vadim Demichev (3 shared papers)Agathe Niewienda (3 shared papers)Łukasz Szyrwiel (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)PROTEOMICS (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)Cancer Research (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniela Ludwig
14 papers receiving 662 citations
Daniela Ludwig's Hit Papers
Peers
Comparison fields: 5 of 82
- Spectroscopy 122
- Molecular Biology 397
- Cell Biology 75
- Immunology 90
- Oncology 101
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 | 233 | |
| 2 | dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts Hit paper breakdown → | 2022 | 226 |
| 3 | 2005 | 93 | |
| 4 | 2005 | 32 | |
| 5 | 2006 | 31 | |
| 6 | 2022 | 21 | |
| 7 | 2024 | 17 | |
| 8 | 1996 | 15 | |
| 9 | 2007 | 3 | |
| 10 | 2004 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2005 | 1 | |
| 15 | 2026 | 0 | |
| 16 | 2025 | 0 |
About Daniela Ludwig
Daniela Ludwig is a scholar working on Molecular Biology, Spectroscopy, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 16 papers that have together received 679 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Ubiquitin and proteasome pathways (2 papers), Peptidase Inhibition and Analysis (2 papers), Effects of Radiation Exposure (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Immunotherapy and Immune Responses (1 paper), Management of metastatic bone disease (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Spectroscopy (122 citations), Molecular Biology (397 citations), Cell Biology (75 citations), Immunology (90 citations) and Oncology (101 citations). Daniela Ludwig has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Peter‐M. Kloetzel, Elke Krüger, Sylvia Heink, Markus Ralser, Michael Mülleder, Vadim Demichev, Agathe Niewienda, Łukasz Szyrwiel, George Rosenberger and Kathryn S. Lilley. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, PROTEOMICS, Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.
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.