Thea Hammerschmidt
About
In The Last Decade
Thea Hammerschmidt
6 papers receiving 489 citations
Peers
Comparison fields: 5 of 84
- Physiology 301
- Molecular Biology 175
- Neurology 170
- Cellular and Molecular Neuroscience 105
- Biological Psychiatry 71
Countries citing papers authored by Thea Hammerschmidt
This map shows the geographic impact of Thea Hammerschmidt'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 Thea Hammerschmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thea Hammerschmidt more than expected).
Fields of papers citing papers by Thea Hammerschmidt
This network shows the impact of papers produced by Thea Hammerschmidt. 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 Thea Hammerschmidt. The network helps show where Thea Hammerschmidt may publish in the future.
Co-authorship network of co-authors of Thea Hammerschmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Thea Hammerschmidt. A scholar is included among the top collaborators of Thea Hammerschmidt 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 Thea Hammerschmidt. Thea Hammerschmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 116 | |
| 3 | 89 | |
| 4 | 263 | |
| 5 | 17 | |
| 6 | 3 |
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.