Katja Lüthje
About
In The Last Decade
Katja Lüthje
9 papers receiving 597 citations
Peers
Comparison fields: 5 of 59
- Immunology 508
- Molecular Biology 111
- Oncology 76
- Epidemiology 44
- Genetics 29
Countries citing papers authored by Katja Lüthje
This map shows the geographic impact of Katja Lüthje'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 Katja Lüthje with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Lüthje more than expected).
Fields of papers citing papers by Katja Lüthje
This network shows the impact of papers produced by Katja Lüthje. 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 Katja Lüthje. The network helps show where Katja Lüthje may publish in the future.
Co-authorship network of co-authors of Katja Lüthje
This figure shows the co-authorship network connecting the top 25 collaborators of Katja Lüthje. A scholar is included among the top collaborators of Katja Lüthje 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 Katja Lüthje. Katja Lüthje is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 259 | |
| 2 | 176 | |
| 3 | 23 | |
| 4 | 19 | |
| 5 | 14 | |
| 6 | 48 | |
| 7 | 39 | |
| 8 | CD83 is a regular of murine B cell function in vivo | 1 |
| 9 | 21 |
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.