Heiko Schulz
About
In The Last Decade
Heiko Schulz
11 papers receiving 172 citations
Peers
Comparison fields: 5 of 57
- Immunology 58
- General Health Professions 57
- Molecular Biology 34
- Sociology and Political Science 24
- Oncology 23
Countries citing papers authored by Heiko Schulz
This map shows the geographic impact of Heiko Schulz'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 Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiko Schulz more than expected).
Fields of papers citing papers by Heiko Schulz
This network shows the impact of papers produced by Heiko Schulz. 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 Schulz. The network helps show where Heiko Schulz may publish in the future.
Co-authorship network of co-authors of Heiko Schulz
This figure shows the co-authorship network connecting the top 25 collaborators of Heiko Schulz. A scholar is included among the top collaborators of Heiko Schulz 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 Schulz. Heiko Schulz 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 | 1 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 27 | |
| 9 | 37 | |
| 10 | 39 | |
| 11 | 26 | |
| 12 | 8 | |
| 13 | 1 |
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.