Matthias R. Evers
Impact in
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Glycosylation and Glycoproteins Research 4
- S100 Proteins and Annexins 1
-
- Proteoglycans and glycosaminoglycans research 4
- Co-authors
- Melitta Schachner (5 shared papers)Jacques Baenziger (4 shared papers)Guoqing Xia (4 shared papers)Alexander Dityatev (2 shared papers)Hyung‐Gyoo Kang (1 shared paper)Olena Bukalo (1 shared paper)Melitta Schachner (1 shared paper)Benedikt Salmen (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Nature Reviews Drug Discovery (2 papers)Molecular and Cellular Neuroscience (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Matthias R. Evers
8 papers receiving 579 citations
Peers
Comparison fields: 5 of 109
- Cell Biology 242
- Developmental Neuroscience 43
- Immunology and Allergy 58
- Cellular and Molecular Neuroscience 150
- Neurology 58
Countries citing papers authored by Matthias R. Evers
This map shows the geographic impact of Matthias R. Evers'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 Matthias R. Evers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias R. Evers more than expected).
Fields of papers citing papers by Matthias R. Evers
This network shows the impact of papers produced by Matthias R. Evers. 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 Matthias R. Evers. The network helps show where Matthias R. Evers may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias R. Evers, 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 | 2002 | 146 | |
| 2 | 2009 | 111 | |
| 3 | 2001 | 91 | |
| 4 | 2002 | 64 | |
| 5 | 2002 | 58 | |
| 6 | 2000 | 51 | |
| 7 | 2014 | 38 | |
| 8 | 2001 | 34 | |
| 9 | A vision for Medical Affairs in 2025 | 2019 | 1 |
| 10 | 2019 | 0 |
About Matthias R. Evers
Matthias R. Evers is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 10 papers that have together received 594 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Cell Adhesion Molecules Research (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), S100 Proteins and Annexins (1 paper), Nerve injury and regeneration (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Cell Biology (242 citations), Developmental Neuroscience (43 citations), Immunology and Allergy (58 citations), Cellular and Molecular Neuroscience (150 citations) and Neurology (58 citations). Matthias R. Evers has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Melitta Schachner, Jacques Baenziger, Guoqing Xia, Alexander Dityatev, Hyung‐Gyoo Kang, Olena Bukalo, Melitta Schachner, Benedikt Salmen, Astrid Rollenhagen and Udo Bartsch. Their work appears in journals such as Journal of Biological Chemistry, Nature Reviews Drug Discovery, Molecular and Cellular Neuroscience, Clinical Pharmacology & Therapeutics and Journal of Neuroscience.
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.