Charlotte Lässig
About
In The Last Decade
Charlotte Lässig
9 papers receiving 855 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Immunology 689
- Molecular Biology 508
- Infectious Diseases 173
- Epidemiology 157
- Oncology 69
Countries citing papers authored by Charlotte Lässig
This map shows the geographic impact of Charlotte Lässig'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 Charlotte Lässig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlotte Lässig more than expected).
Fields of papers citing papers by Charlotte Lässig
This network shows the impact of papers produced by Charlotte Lässig. 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 Charlotte Lässig. The network helps show where Charlotte Lässig may publish in the future.
Co-authorship network of co-authors of Charlotte Lässig
This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte Lässig. A scholar is included among the top collaborators of Charlotte Lässig 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 Charlotte Lässig. Charlotte Lässig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 28 | |
| 4 | 59 | |
| 5 | cGAS senses long and HMGB/TFAM-bound U-turn DNA by forming protein–DNA ladders breakdown → | 395 |
| 6 | 188 | |
| 7 | 78 | |
| 8 | 107 | |
| 9 | 2 |
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.