Nina Schürmann
About
In The Last Decade
Nina Schürmann
5 papers receiving 576 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 335
- Hepatology 222
- Surgery 191
- Cancer Research 108
- Epidemiology 106
Countries citing papers authored by Nina Schürmann
This map shows the geographic impact of Nina Schürmann'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 Nina Schürmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Schürmann more than expected).
Fields of papers citing papers by Nina Schürmann
This network shows the impact of papers produced by Nina Schürmann. 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 Nina Schürmann. The network helps show where Nina Schürmann may publish in the future.
Co-authorship network of co-authors of Nina Schürmann
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Schürmann. A scholar is included among the top collaborators of Nina Schürmann 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 Nina Schürmann. Nina Schürmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 67 | |
| 3 | 323 | |
| 4 | 16 | |
| 5 | 149 |
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.