Marie-Theres Zeuner
About
In The Last Decade
Marie-Theres Zeuner
7 papers receiving 311 citations
Peers
Comparison fields: 5 of 84
- Immunology 113
- Molecular Biology 109
- Food Science 43
- Hematology 36
- Epidemiology 32
Countries citing papers authored by Marie-Theres Zeuner
This map shows the geographic impact of Marie-Theres Zeuner'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 Marie-Theres Zeuner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie-Theres Zeuner more than expected).
Fields of papers citing papers by Marie-Theres Zeuner
This network shows the impact of papers produced by Marie-Theres Zeuner. 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 Marie-Theres Zeuner. The network helps show where Marie-Theres Zeuner may publish in the future.
Co-authorship network of co-authors of Marie-Theres Zeuner
This figure shows the co-authorship network connecting the top 25 collaborators of Marie-Theres Zeuner. A scholar is included among the top collaborators of Marie-Theres Zeuner 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 Marie-Theres Zeuner. Marie-Theres Zeuner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 14 | |
| 3 | 83 | |
| 4 | 71 | |
| 5 | 10 | |
| 6 | 29 | |
| 7 | 91 |
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.