Heiko Sülberg
About
In The Last Decade
Heiko Sülberg
9 papers receiving 230 citations
Peers
Comparison fields: 5 of 42
- Oncology 215
- Surgery 135
- Pulmonary and Respiratory Medicine 52
- Molecular Biology 34
- Immunology 12
Countries citing papers authored by Heiko Sülberg
This map shows the geographic impact of Heiko Sülberg'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 Heiko Sülberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiko Sülberg more than expected).
Fields of papers citing papers by Heiko Sülberg
This network shows the impact of papers produced by Heiko Sülberg. 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 Heiko Sülberg. The network helps show where Heiko Sülberg may publish in the future.
Co-authorship network of co-authors of Heiko Sülberg
This figure shows the co-authorship network connecting the top 25 collaborators of Heiko Sülberg. A scholar is included among the top collaborators of Heiko Sülberg 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 Heiko Sülberg. Heiko Sülberg 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 | 4 | |
| 3 | 1 | |
| 4 | 40 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 170 |
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.