Hans Peter Maerki
About
In The Last Decade
Hans Peter Maerki
9 papers receiving 409 citations
Peers
Comparison fields: 5 of 50
- Molecular Biology 234
- Cellular and Molecular Neuroscience 109
- Endocrinology, Diabetes and Metabolism 78
- Endocrine and Autonomic Systems 67
- Cardiology and Cardiovascular Medicine 64
Countries citing papers authored by Hans Peter Maerki
This map shows the geographic impact of Hans Peter Maerki'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 Hans Peter Maerki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Peter Maerki more than expected).
Fields of papers citing papers by Hans Peter Maerki
This network shows the impact of papers produced by Hans Peter Maerki. 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 Hans Peter Maerki. The network helps show where Hans Peter Maerki may publish in the future.
Co-authorship network of co-authors of Hans Peter Maerki
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Peter Maerki. A scholar is included among the top collaborators of Hans Peter Maerki 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 Hans Peter Maerki. Hans Peter Maerki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | 19 | |
| 5 | 14 | |
| 6 | 81 | |
| 7 | 120 | |
| 8 | 110 | |
| 9 | 13 |
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.