Kaia Palm
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Developmental Neuroscience top 0.5%
- Genetics top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Tõnis TimmuskAnna KazantsevaMadis MetsisMarko PiirsooPriit PruunsildMärt SaarmaViiu PaalmeHåkan Persson
- Topics
- RNA Research and Splicing (9 papers)Nerve injury and regeneration (8 papers)Genomics and Chromatin Dynamics (7 papers)
- Partner nations
- EstoniaFinlandUnited States
In The Last Decade
Kaia Palm
34 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Cellular and Molecular Neuroscience 1.6k
- Molecular Biology 1.5k
- Developmental Neuroscience 857
- Genetics 452
- Cognitive Neuroscience 409
Countries citing papers authored by Kaia Palm
This map shows the geographic impact of Kaia Palm'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 Kaia Palm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaia Palm more than expected).
Fields of papers citing papers by Kaia Palm
This network shows the impact of papers produced by Kaia Palm. 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 Kaia Palm. The network helps show where Kaia Palm may publish in the future.
Co-authorship network of co-authors of Kaia Palm
This figure shows the co-authorship network connecting the top 25 collaborators of Kaia Palm. A scholar is included among the top collaborators of Kaia Palm 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 Kaia Palm. Kaia Palm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 24 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 20 | |
| 13 | Dissecting the human BDNF locus: Bidirectional transcription, complex splicing, and multiple promotersbreakdown → | 553 |
| 14 | Mouse and rat BDNF gene structure and expression revisitedbreakdown → | 768 |
| 15 | 60 | |
| 16 | 36 | |
| 17 | 113 | |
| 18 | 24 | |
| 19 | Multiple promoters direct tissue-specific expression of the rat BDNF genebreakdown → | 747 |
| 20 | 8 |
About Kaia Palm
Kaia Palm is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cancer Research, having authored 37 papers that have together received 3.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), Nerve injury and regeneration (8 papers) and Genomics and Chromatin Dynamics (7 papers). The work is most often cited by research in Developmental Neuroscience (857 citations), Cellular and Molecular Neuroscience (1.6k citations) and Behavioral Neuroscience (244 citations). Kaia Palm has collaborated with scholars based in Estonia, Finland and United States. Frequent co-authors include Tõnis Timmusk, Anna Kazantseva, Madis Metsis, Marko Piirsoo, Priit Pruunsild, Märt Saarma, Viiu Paalme, Håkan Persson, Natale Belluardo and Toomas Neuman. Their work appears in journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.
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.