Alexander D. Bungert
About
In The Last Decade
Alexander D. Bungert
8 papers receiving 300 citations
Peers
Comparison fields: 5 of 52
- Immunology 179
- Neurology 142
- Genetics 130
- Molecular Biology 70
- Oncology 56
Countries citing papers authored by Alexander D. Bungert
This map shows the geographic impact of Alexander D. Bungert'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 Alexander D. Bungert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander D. Bungert more than expected).
Fields of papers citing papers by Alexander D. Bungert
This network shows the impact of papers produced by Alexander D. Bungert. 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 Alexander D. Bungert. The network helps show where Alexander D. Bungert may publish in the future.
Co-authorship network of co-authors of Alexander D. Bungert
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander D. Bungert. A scholar is included among the top collaborators of Alexander D. Bungert 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 Alexander D. Bungert. Alexander D. Bungert 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 | 0 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 24 | |
| 7 | 42 | |
| 8 | 57 | |
| 9 | 163 |
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.