Fenna H. Heyning
About
In The Last Decade
Fenna H. Heyning
16 papers receiving 874 citations
Peers
Comparison fields: 5 of 68
- Internal Medicine 424
- Pulmonary and Respiratory Medicine 312
- Cardiology and Cardiovascular Medicine 311
- Pathology and Forensic Medicine 260
- Radiology, Nuclear Medicine and Imaging 136
Countries citing papers authored by Fenna H. Heyning
This map shows the geographic impact of Fenna H. Heyning'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 Fenna H. Heyning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenna H. Heyning more than expected).
Fields of papers citing papers by Fenna H. Heyning
This network shows the impact of papers produced by Fenna H. Heyning. 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 Fenna H. Heyning. The network helps show where Fenna H. Heyning may publish in the future.
Co-authorship network of co-authors of Fenna H. Heyning
This figure shows the co-authorship network connecting the top 25 collaborators of Fenna H. Heyning. A scholar is included among the top collaborators of Fenna H. Heyning 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 Fenna H. Heyning. Fenna H. Heyning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 79 | |
| 7 | 177 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 132 | |
| 11 | 120 | |
| 12 | 31 | |
| 13 | 24 | |
| 14 | 45 | |
| 15 | 139 | |
| 16 | Global volumetric estimation of disease burden in multiple sclerosis based on magnetization transfer imaging. | 80 |
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.