Athena Akrami
- Neurology top 0.5%
- Clinical Psychology top 2%
- Cognitive Neuroscience top 5%
- Infectious Diseases top 2%
- Critical Care and Intensive Care Medicine top 0.5%
- Co-authors
- Ryan LowLisa McCorkellHannah DavisHannah WeiGina AssafYochai Re’emSigne RedfieldJared P. Austin
- Topics
- Neural dynamics and brain function (14 papers)Memory and Neural Mechanisms (8 papers)Long-Term Effects of COVID-19 (8 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Athena Akrami
25 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Neurology 1.8k
- Clinical Psychology 837
- Cognitive Neuroscience 642
- Infectious Diseases 600
- Critical Care and Intensive Care Medicine 545
Countries citing papers authored by Athena Akrami
This map shows the geographic impact of Athena Akrami'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 Athena Akrami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Athena Akrami more than expected).
Fields of papers citing papers by Athena Akrami
This network shows the impact of papers produced by Athena Akrami. 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 Athena Akrami. The network helps show where Athena Akrami may publish in the future.
Co-authorship network of co-authors of Athena Akrami
This figure shows the co-authorship network connecting the top 25 collaborators of Athena Akrami. A scholar is included among the top collaborators of Athena Akrami 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 Athena Akrami. Athena Akrami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 19 | |
| 4 | Systematic Review of the Prevalence of Long COVIDbreakdown → | 77 |
| 5 | A review of cytokine-based pathophysiology of Long COVID symptomsbreakdown → | 87 |
| 6 | 4 | |
| 7 | 78 | |
| 8 | 20 | |
| 9 | Characterizing long COVID in an international cohort: 7 months of symptoms and their impactbreakdown → | 1687 |
| 10 | 48 | |
| 11 | 39 | |
| 12 | 31 | |
| 13 | Efficient inference for time-varying behavior during learning. | 14 |
| 14 | 204 | |
| 15 | 44 | |
| 16 | 98 | |
| 17 | Adaptive optimal training of animal behavior | 13 |
| 18 | 62 | |
| 19 | 13 | |
| 20 | 14 |
About Athena Akrami
Athena Akrami is a scholar working on Cognitive Neuroscience, Critical Care and Intensive Care Medicine and Neurology, having authored 26 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Memory and Neural Mechanisms (8 papers) and Long-Term Effects of COVID-19 (8 papers). The work is most often cited by research in Neurology (1.8k citations), Critical Care and Intensive Care Medicine (545 citations) and Clinical Psychology (837 citations). Athena Akrami has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Ryan Low, Lisa McCorkell, Hannah Davis, Hannah Wei, Gina Assaf, Yochai Re’em, Signe Redfield, Jared P. Austin, Mathew E. Diamond and Carlos D. Brody. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.
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.