Christina Gosmann
About
In The Last Decade
Christina Gosmann
6 papers receiving 182 citations
Peers
Comparison fields: 5 of 47
- Immunology 111
- Epidemiology 91
- Oncology 45
- Molecular Biology 34
- Microbiology 28
Countries citing papers authored by Christina Gosmann
This map shows the geographic impact of Christina Gosmann'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 Christina Gosmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Gosmann more than expected).
Fields of papers citing papers by Christina Gosmann
This network shows the impact of papers produced by Christina Gosmann. 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 Christina Gosmann. The network helps show where Christina Gosmann may publish in the future.
Co-authorship network of co-authors of Christina Gosmann
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Gosmann. A scholar is included among the top collaborators of Christina Gosmann 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 Christina Gosmann. Christina Gosmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 6 | |
| 3 | 31 | |
| 4 | 59 | |
| 5 | 30 | |
| 6 | 45 |
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.