G.-M. von Reutern
- Epidemiology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Neurology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Internal Medicine top 5%
- Co-authors
- L. PourcelotAndreas HetzelI. WittJ. KohlerJ. KasperLawrence BrassL. Dana DeWittShirley M. Otis
- Topics
- Cerebrovascular and Carotid Artery Diseases (15 papers)Cardiovascular Health and Disease Prevention (9 papers)Acute Ischemic Stroke Management (6 papers)
- Journals
- NeurologyStrokeHuman Genetics
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
G.-M. von Reutern
25 papers receiving 575 citations
Peers
Comparison fields: 5 of 64
- Epidemiology 329
- Pulmonary and Respiratory Medicine 310
- Neurology 232
- Cardiology and Cardiovascular Medicine 164
- Internal Medicine 111
Countries citing papers authored by G.-M. von Reutern
This map shows the geographic impact of G.-M. von Reutern'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 G.-M. von Reutern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.-M. von Reutern more than expected).
Fields of papers citing papers by G.-M. von Reutern
This network shows the impact of papers produced by G.-M. von Reutern. 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 G.-M. von Reutern. The network helps show where G.-M. von Reutern may publish in the future.
Co-authorship network of co-authors of G.-M. von Reutern
This figure shows the co-authorship network connecting the top 25 collaborators of G.-M. von Reutern. A scholar is included among the top collaborators of G.-M. von Reutern 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 G.-M. von Reutern. G.-M. von Reutern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 35 | |
| 9 | 5 | |
| 10 | SCHLAGANFALLBEHANDLUNG MIT STROKE UNIT UND REHABILITATION DURCH EIN TEAM: EIN MODELL FUR EINE STADIENGERECHTE VERSORGUNG | 0 |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 26 | |
| 14 | 51 | |
| 15 | 84 | |
| 16 | 5 | |
| 17 | 21 | |
| 18 | 28 | |
| 19 | 8 | |
| 20 | 56 |
About G.-M. von Reutern
G.-M. von Reutern is a scholar working on Internal Medicine, Neurology and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 610 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (15 papers), Cardiovascular Health and Disease Prevention (9 papers) and Acute Ischemic Stroke Management (6 papers). The work is most often cited by research in Internal Medicine (111 citations), Neurology (232 citations) and Epidemiology (329 citations). G.-M. von Reutern has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include L. Pourcelot, Andreas Hetzel, I. Witt, J. Kohler, J. Kasper, Lawrence Brass, L. Dana DeWitt, Shirley M. Otis, Louis R. Caplan and Robert J. Adams. Their work appears in journals such as Neurology, Stroke and Human Genetics.
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.