Sebastian Wagner
- Geriatrics and Gerontology top 0.5%
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways 18
- DNA Repair Mechanisms 9
- Glycosylation and Glycoproteins Research 4
- Mitochondrial Function and Pathology 4
- Cell Biology top 1%
- Physiology top 1%
- Cancer Research top 2%
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- Lung Cancer Treatments and Mutations 7
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- Peptidase Inhibition and Analysis 6
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- Advanced Proteomics Techniques and Applications 6
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- Autophagy in Disease and Therapy 4
- Co-authors
- Chunaram ChoudharyBrian T. WeinertPetra BeliChristian SchölzIvan ĐikićMatthias MannVytautas IešmantavičiusMichael L. Nielsen
- Journals
- Molecular Cell (4 papers)Molecular & Cellular Proteomics (3 papers)Annals of Hematology (3 papers)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Sebastian Wagner
59 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Geriatrics and Gerontology 550
- Molecular Biology 5.2k
- Cell Biology 969
- Physiology 237
- Cancer Research 772
Countries citing papers authored by Sebastian Wagner
This map shows the geographic impact of Sebastian Wagner'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 Sebastian Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Wagner more than expected).
Fields of papers citing papers by Sebastian Wagner
This network shows the impact of papers produced by Sebastian Wagner. 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 Sebastian Wagner. The network helps show where Sebastian Wagner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sebastian Wagner, 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 | 2022 | 4 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 3 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 28 | |
| 7 | 2018 | 61 | |
| 8 | Supporting Molecular Tumor Boards in Molecular-Guided Decision-Making - The Current Status of Five German University Hospitals. | 2017 | 11 |
| 9 | 2016 | 111 | |
| 10 | 2015 | 42 | |
| 11 | 2015 | 220 | |
| 12 | 2014 | 34 | |
| 13 | 2013 | 358 | |
| 14 | 2012 | 120 | |
| 15 | 2012 | 256 | |
| 16 | 2012 | 245 | |
| 17 | Phosphorylation of the Autophagy Receptor Optineurin Restricts Salmonella Growthbreakdown → | 2011 | 1030 |
| 18 | A Proteome-wide, Quantitative Survey of In Vivo Ubiquitylation Sites Reveals Widespread Regulatory Rolesbreakdown → | 2011 | 735 |
| 19 | 2008 | 185 | |
| 20 | 2007 | 121 |
About Sebastian Wagner
Sebastian Wagner is a scholar working on Geriatrics and Gerontology, Oncology and General Decision Sciences, having authored 64 papers that have together received 7.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (18 papers), DNA Repair Mechanisms (9 papers), Lung Cancer Treatments and Mutations (7 papers), Peptidase Inhibition and Analysis (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Glycosylation and Glycoproteins Research (4 papers), Mitochondrial Function and Pathology (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Geriatrics and Gerontology (550 citations), Molecular Biology (5.2k citations) and Cell Biology (969 citations). Sebastian Wagner has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Chunaram Choudhary, Brian T. Weinert, Petra Beli, Christian Schölz, Ivan Đikić, Matthias Mann, Vytautas Iešmantavičius, Michael L. Nielsen, Benjamin Richter and Philipp S. Wild. Their work appears in journals such as Molecular Cell, Molecular & Cellular Proteomics, Annals of Hematology, Nature Communications and Nature Cell 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.