Anna-Maria Knorn
About
In The Last Decade
Anna-Maria Knorn
3 papers receiving 133 citations
Peers
Comparison fields: 5 of 44
- Molecular Biology 116
- Physiology 31
- Cellular and Molecular Neuroscience 19
- Oncology 18
- Hematology 13
Countries citing papers authored by Anna-Maria Knorn
This map shows the geographic impact of Anna-Maria Knorn'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 Anna-Maria Knorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna-Maria Knorn more than expected).
Fields of papers citing papers by Anna-Maria Knorn
This network shows the impact of papers produced by Anna-Maria Knorn. 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 Anna-Maria Knorn. The network helps show where Anna-Maria Knorn may publish in the future.
Co-authorship network of co-authors of Anna-Maria Knorn
This figure shows the co-authorship network connecting the top 25 collaborators of Anna-Maria Knorn. A scholar is included among the top collaborators of Anna-Maria Knorn 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 Anna-Maria Knorn. Anna-Maria Knorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 75 | |
| 2 | Expression of cGMP-dependent protein kinase type I in the murine CNS and eye | 1 |
| 3 | 58 |
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.