Kim de Mora
About
In The Last Decade
Kim de Mora
8 papers receiving 452 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 404
- Genetics 140
- Biophysics 41
- Biomedical Engineering 38
- Ecology 32
Countries citing papers authored by Kim de Mora
This map shows the geographic impact of Kim de Mora'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 Kim de Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim de Mora more than expected).
Fields of papers citing papers by Kim de Mora
This network shows the impact of papers produced by Kim de Mora. 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 Kim de Mora. The network helps show where Kim de Mora may publish in the future.
Co-authorship network of co-authors of Kim de Mora
This figure shows the co-authorship network connecting the top 25 collaborators of Kim de Mora. A scholar is included among the top collaborators of Kim de Mora 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 Kim de Mora. Kim de Mora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 54 | |
| 3 | 8 | |
| 4 | 42 | |
| 5 | 20 | |
| 6 | SYNTHETIC BIOLOGY AND THE ART OF BIOSENSOR DESIGN | 12 |
| 7 | 310 | |
| 8 | 9 |
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.