Marion Wernli
About
In The Last Decade
Marion Wernli
33 papers receiving 878 citations
Peers
Comparison fields: 5 of 88
- Oncology 467
- Epidemiology 338
- Molecular Biology 316
- Infectious Diseases 185
- Immunology 102
Countries citing papers authored by Marion Wernli
This map shows the geographic impact of Marion Wernli'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 Marion Wernli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Wernli more than expected).
Fields of papers citing papers by Marion Wernli
This network shows the impact of papers produced by Marion Wernli. 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 Marion Wernli. The network helps show where Marion Wernli may publish in the future.
Co-authorship network of co-authors of Marion Wernli
This figure shows the co-authorship network connecting the top 25 collaborators of Marion Wernli. A scholar is included among the top collaborators of Marion Wernli 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 Marion Wernli. Marion Wernli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 39 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 53 | |
| 7 | 1 | |
| 8 | 46 | |
| 9 | 9 | |
| 10 | 17 | |
| 11 | 52 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 55 | |
| 15 | 10 | |
| 16 | 26 | |
| 17 | 53 | |
| 18 | 196 | |
| 19 | 95 | |
| 20 | [Therapy of thrombocytosis in myeloproliferative syndromes using recombinant interferon-alpha-2a]. | 2 |
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.