Erik Ladewig
About
In The Last Decade
Erik Ladewig
9 papers receiving 953 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Molecular Biology 577
- Cancer Research 483
- Genetics 329
- Oncology 192
- Immunology 140
Countries citing papers authored by Erik Ladewig
This map shows the geographic impact of Erik Ladewig'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 Erik Ladewig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Ladewig more than expected).
Fields of papers citing papers by Erik Ladewig
This network shows the impact of papers produced by Erik Ladewig. 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 Erik Ladewig. The network helps show where Erik Ladewig may publish in the future.
Co-authorship network of co-authors of Erik Ladewig
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Ladewig. A scholar is included among the top collaborators of Erik Ladewig 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 Erik Ladewig. Erik Ladewig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 53 | |
| 3 | 46 | |
| 4 | Clonal evolution of glioblastoma under therapy breakdown → | 485 |
| 5 | 4 | |
| 6 | 58 | |
| 7 | 55 | |
| 8 | 55 | |
| 9 | 145 | |
| 10 | 60 |
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.