Christiane Brohm
About
In The Last Decade
Christiane Brohm
7 papers receiving 666 citations
Peers
Comparison fields: 5 of 52
- Hepatology 439
- Epidemiology 403
- Infectious Diseases 174
- Immunology 146
- Molecular Biology 110
Countries citing papers authored by Christiane Brohm
This map shows the geographic impact of Christiane Brohm'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 Christiane Brohm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christiane Brohm more than expected).
Fields of papers citing papers by Christiane Brohm
This network shows the impact of papers produced by Christiane Brohm. 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 Christiane Brohm. The network helps show where Christiane Brohm may publish in the future.
Co-authorship network of co-authors of Christiane Brohm
This figure shows the co-authorship network connecting the top 25 collaborators of Christiane Brohm. A scholar is included among the top collaborators of Christiane Brohm 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 Christiane Brohm. Christiane Brohm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 152 | |
| 2 | 93 | |
| 3 | 37 | |
| 4 | 90 | |
| 5 | 57 | |
| 6 | 126 | |
| 7 | 119 |
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.