Heidrun Häweker
About
In The Last Decade
Heidrun Häweker
8 papers receiving 949 citations
Peers
Comparison fields: 5 of 54
- Plant Science 820
- Molecular Biology 277
- Cell Biology 111
- Biotechnology 63
- Epidemiology 57
Countries citing papers authored by Heidrun Häweker
This map shows the geographic impact of Heidrun Häweker'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 Heidrun Häweker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidrun Häweker more than expected).
Fields of papers citing papers by Heidrun Häweker
This network shows the impact of papers produced by Heidrun Häweker. 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 Heidrun Häweker. The network helps show where Heidrun Häweker may publish in the future.
Co-authorship network of co-authors of Heidrun Häweker
This figure shows the co-authorship network connecting the top 25 collaborators of Heidrun Häweker. A scholar is included among the top collaborators of Heidrun Häweker 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 Heidrun Häweker. Heidrun Häweker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 27 | |
| 3 | 13 | |
| 4 | 64 | |
| 5 | 113 | |
| 6 | 217 | |
| 7 | 158 | |
| 8 | 346 |
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.