Katherine G. Akers
- Cognitive Neuroscience top 2%
- Developmental Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Pediatrics, Perinatology and Child Health top 5%
- Behavioral Neuroscience top 2%
- Co-authors
- Paul W. FranklandSheena A. JosselynDerek A. HamiltonYosuke NiiboriAlonso Martínez-CanabalMaithe Arruda‐CarvalhoFelicha T. Candelaria‐CookMasanori Sakaguchi
- Topics
- Memory and Neural Mechanisms (15 papers)Research Data Management Practices (10 papers)Neurogenesis and neuroplasticity mechanisms (9 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Katherine G. Akers
74 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cognitive Neuroscience 808
- Developmental Neuroscience 679
- Cellular and Molecular Neuroscience 643
- Pediatrics, Perinatology and Child Health 349
- Behavioral Neuroscience 304
Countries citing papers authored by Katherine G. Akers
This map shows the geographic impact of Katherine G. Akers'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 Katherine G. Akers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine G. Akers more than expected).
Fields of papers citing papers by Katherine G. Akers
This network shows the impact of papers produced by Katherine G. Akers. 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 Katherine G. Akers. The network helps show where Katherine G. Akers may publish in the future.
Co-authorship network of co-authors of Katherine G. Akers
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine G. Akers. A scholar is included among the top collaborators of Katherine G. Akers 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 Katherine G. Akers. Katherine G. Akers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | Hippocampal Neurogenesis Regulates Forgetting During Adulthood and Infancybreakdown → | 538 |
| 10 | 22 | |
| 11 | 2 | |
| 12 | 28 | |
| 13 | 60 | |
| 14 | 138 | |
| 15 | 34 | |
| 16 | 25 | |
| 17 | 42 | |
| 18 | 18 | |
| 19 | 79 | |
| 20 | 39 |
About Katherine G. Akers
Katherine G. Akers is a scholar working on Developmental Neuroscience, Behavioral Neuroscience and Information Systems and Management, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (15 papers), Research Data Management Practices (10 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). The work is most often cited by research in Developmental Neuroscience (679 citations), Behavioral Neuroscience (304 citations) and Cognitive Neuroscience (808 citations). Katherine G. Akers has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paul W. Frankland, Sheena A. Josselyn, Derek A. Hamilton, Yosuke Niibori, Alonso Martínez-Canabal, Maithe Arruda‐Carvalho, Felicha T. Candelaria‐Cook, Masanori Sakaguchi, James P. Rice and Axel Guskjolen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.