Charidimos Tsagkas
- Pathology and Forensic Medicine top 2%
- Neurology top 5%
- Rheumatology top 10%
- Molecular Biology
- Oncology
- Co-authors
- Ludwig KapposKatrin ParmarMichael AmannYvonne NaegelinJens WuerfelCristina GranzieraJens KühlePascal Benkert
- Topics
- Multiple Sclerosis Research Studies (23 papers)Advanced Neuroimaging Techniques and Applications (6 papers)Advanced MRI Techniques and Applications (5 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaBrain
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Charidimos Tsagkas
30 papers receiving 836 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Pathology and Forensic Medicine 647
- Neurology 283
- Rheumatology 139
- Molecular Biology 124
- Oncology 113
Countries citing papers authored by Charidimos Tsagkas
This map shows the geographic impact of Charidimos Tsagkas'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 Charidimos Tsagkas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charidimos Tsagkas more than expected).
Fields of papers citing papers by Charidimos Tsagkas
This network shows the impact of papers produced by Charidimos Tsagkas. 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 Charidimos Tsagkas. The network helps show where Charidimos Tsagkas may publish in the future.
Co-authorship network of co-authors of Charidimos Tsagkas
This figure shows the co-authorship network connecting the top 25 collaborators of Charidimos Tsagkas. A scholar is included among the top collaborators of Charidimos Tsagkas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charidimos Tsagkas. Charidimos Tsagkas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 39 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 13 | |
| 14 | 37 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 30 | |
| 18 | 2 | |
| 19 | 59 | |
| 20 | Serum neurofilament as a predictor of disease worsening and brain and spinal cord atrophy in multiple sclerosisbreakdown → | 367 |
About Charidimos Tsagkas
Charidimos Tsagkas is a scholar working on Pathology and Forensic Medicine, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 842 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (23 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (647 citations), Neurology (283 citations) and Developmental Neuroscience (70 citations). Charidimos Tsagkas has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Ludwig Kappos, Katrin Parmar, Michael Amann, Yvonne Naegelin, Jens Wuerfel, Cristina Granziera, Jens Kühle, Pascal Benkert, Özgür Yaldizli and Christian Barro. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Brain.
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.