Sebastian Wiese
- Molecular Biology top 2%
- Peroxisome Proliferator-Activated Receptors 10
- Amyloidosis: Diagnosis, Treatment, Outcomes 8
- Mitochondrial Function and Pathology 6
- RNA Research and Splicing 5
- Cancer Research top 5%
- Clinical Biochemistry top 2%
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 6
- Aging top 5%
-
- Antimicrobial Peptides and Activities 10
-
- Advanced Proteomics Techniques and Applications 6
-
- Enzyme Structure and Function 5
- Co-authors
- Bettina WarscheidMichael KohlHelmut E. MeyerKai A. ReidegeldSilke OeljeklausRalf ErdmannThomas GronemeyerChristoph Stephan
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Sebastian Wiese
79 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 3.1k
- Cancer Research 415
- Clinical Biochemistry 186
- Cell Biology 427
- Aging 43
Countries citing papers authored by Sebastian Wiese
This map shows the geographic impact of Sebastian Wiese'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 Wiese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Wiese more than expected).
Fields of papers citing papers by Sebastian Wiese
This network shows the impact of papers produced by Sebastian Wiese. 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 Wiese. The network helps show where Sebastian Wiese may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sebastian Wiese, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 18 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 56 | |
| 16 | 2021 | 15 | |
| 17 | 2015 | 15 | |
| 18 | 2012 | 75 | |
| 19 | 2008 | 123 | |
| 20 | Protein labeling by iTRAQ: A new tool for quantitative mass spectrometry in proteome researchbreakdown → | 2006 | 611 |
About Sebastian Wiese
Sebastian Wiese is a scholar working on Microbiology, Molecular Biology and Cell Biology, having authored 81 papers that have together received 4.4k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (10 papers), Peroxisome Proliferator-Activated Receptors (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers), Advanced Proteomics Techniques and Applications (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Mitochondrial Function and Pathology (6 papers), Enzyme Structure and Function (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Molecular Biology (3.1k citations), Cancer Research (415 citations) and Clinical Biochemistry (186 citations). Sebastian Wiese has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Bettina Warscheid, Michael Kohl, Helmut E. Meyer, Kai A. Reidegeld, Silke Oeljeklaus, Ralf Erdmann, Thomas Gronemeyer, Christoph Stephan, Marcus Fändrich and Chris Meisinger. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.