Jürg Baenziger
About
In The Last Decade
Jürg Baenziger
8 papers receiving 373 citations
Peers
Comparison fields: 5 of 44
- Immunology 297
- Epidemiology 92
- Infectious Diseases 65
- Oncology 56
- Virology 54
Countries citing papers authored by Jürg Baenziger
This map shows the geographic impact of Jürg Baenziger'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 Jürg Baenziger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürg Baenziger more than expected).
Fields of papers citing papers by Jürg Baenziger
This network shows the impact of papers produced by Jürg Baenziger. 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 Jürg Baenziger. The network helps show where Jürg Baenziger may publish in the future.
Co-authorship network of co-authors of Jürg Baenziger
This figure shows the co-authorship network connecting the top 25 collaborators of Jürg Baenziger. A scholar is included among the top collaborators of Jürg Baenziger 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 Jürg Baenziger. Jürg Baenziger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | The cytoplasmic tail of CD4 targets chimeric molecules to a degradative pathway. | 4 |
| 3 | 5 | |
| 4 | 84 | |
| 5 | 50 | |
| 6 | 93 | |
| 7 | 119 | |
| 8 | 3 |
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.