Athena Akrami

5.9k total citations · 3 hit papers
26 papers, 2.7k citations indexed

About

Athena Akrami is a scholar working on Cognitive Neuroscience, Neurology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Athena Akrami has authored 26 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 8 papers in Neurology and 4 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Athena Akrami's work include Neural dynamics and brain function (14 papers), Memory and Neural Mechanisms (8 papers) and Long-Term Effects of COVID-19 (8 papers). Athena Akrami is often cited by papers focused on Neural dynamics and brain function (14 papers), Memory and Neural Mechanisms (8 papers) and Long-Term Effects of COVID-19 (8 papers). Athena Akrami collaborates with scholars based in United States, United Kingdom and Italy. Athena Akrami's co-authors include Ryan Low, Gina Assaf, Lisa McCorkell, Hannah Davis, Hannah Wei, Yochai Re’em, Jared P. Austin, Signe Redfield, Mathew E. Diamond and Carlos D. Brody and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Athena Akrami

25 papers receiving 2.7k citations

Hit Papers

Characterizing long COVID in an international cohort: 7 m... 2021 2026 2022 2024 2021 2023 2023 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Athena Akrami United States 17 1.8k 837 642 600 545 26 2.7k
Ryan Low United Kingdom 9 1.6k 0.9× 745 0.9× 215 0.3× 551 0.9× 477 0.9× 15 2.1k
Fidel Alfaro‐Almagro United Kingdom 19 820 0.5× 304 0.4× 1.5k 2.4× 236 0.4× 190 0.3× 35 3.5k
Michael B. VanElzakker United States 16 588 0.3× 470 0.6× 508 0.8× 264 0.4× 105 0.2× 25 1.8k
Govinda Poudel Australia 25 1.2k 0.6× 274 0.3× 624 1.0× 233 0.4× 158 0.3× 96 2.3k
Peter Keating United Kingdom 12 674 0.4× 240 0.3× 464 0.7× 228 0.4× 183 0.3× 18 1.4k
Chaoyue Wang China 13 758 0.4× 283 0.3× 84 0.1× 235 0.4× 188 0.3× 31 1.3k
Bernd Taschler United Kingdom 9 679 0.4× 242 0.3× 84 0.1× 230 0.4× 185 0.3× 13 1.1k
Frederik Lange United Kingdom 7 688 0.4× 244 0.3× 82 0.1× 229 0.4× 187 0.3× 12 1.0k
Sam U. Ho United States 13 555 0.3× 194 0.2× 277 0.4× 138 0.2× 153 0.3× 17 1.2k
Frédéric Assal Switzerland 29 673 0.4× 127 0.2× 693 1.1× 96 0.2× 76 0.1× 150 3.1k

Countries citing papers authored by Athena Akrami

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Clopath, Claudia, et al.. (2024). Unifying network model links recency and central tendency biases in working memory. eLife. 12. 2 indexed citations
3.
Low, Russell N., Russell N. Low, Ryan Low, Ryan Low, & Athena Akrami. (2023). A review of cytokine-based pathophysiology of Long COVID symptoms. Frontiers in Medicine. 10. 1011936–1011936. 87 indexed citations breakdown →
4.
Clopath, Claudia, et al.. (2023). Unifying network model links recency and central tendency biases in working memory. eLife. 12. 5 indexed citations
5.
Re’em, Yochai, Hannah Davis, Lisa McCorkell, et al.. (2023). Factors associated with psychiatric outcomes and coping in Long COVID. Nature Mental Health. 1(5). 361–372. 19 indexed citations
6.
Carey, Charles, Nida Ziauddeen, Athena Akrami, et al.. (2023). Systematic Review of the Prevalence of Long COVID. Open Forum Infectious Diseases. 10(7). ofad233–ofad233. 77 indexed citations breakdown →
7.
Munblit, Daniel, Margaret O’Hara, Athena Akrami, et al.. (2022). Long COVID: aiming for a consensus. The Lancet Respiratory Medicine. 10(7). 632–634. 78 indexed citations
8.
Munblit, Daniel, Timothy R. Nicholson, Athena Akrami, et al.. (2022). Core Outcome Set for Research and Clinical Practice in Post COVID-19 Condition (Long COVID): An International Delphi Consensus Study ‘PC-COS’. SSRN Electronic Journal. 4 indexed citations
9.
Davis, Hannah, Gina Assaf, Lisa McCorkell, et al.. (2021). Characterizing long COVID in an international cohort: 7 months of symptoms and their impact. EClinicalMedicine. 38. 101019–101019. 1687 indexed citations breakdown →
10.
Duan, Chunyu A., Marino Pagan, Alex T. Piet, et al.. (2021). Collicular circuits for flexible sensorimotor routing. Nature Neuroscience. 24(8). 1110–1120. 20 indexed citations
11.
Roy, Nicholas, Ji Hyun Bak, Athena Akrami, Carlos D. Brody, & Jonathan W. Pillow. (2021). Extracting the dynamics of behavior in sensory decision-making experiments. Neuron. 109(4). 597–610.e6. 48 indexed citations
12.
Davis, Hannah, Gina Assaf, Lisa McCorkell, et al.. (2021). Characterizing Long COVID in an International Cohort: 7 Months of Symptoms and Their Impact. SSRN Electronic Journal. 39 indexed citations
13.
Constantinople, Christine M., et al.. (2019). Lateral orbitofrontal cortex promotes trial-by-trial learning of risky, but not spatial, biases. eLife. 8. 31 indexed citations
14.
Akrami, Athena, et al.. (2018). Construction and Validation of a Computerized Open-ended Bi-functional Translation Assessment System. 1. 1 indexed citations
15.
Akrami, Athena, Charles D. Kopec, Mathew E. Diamond, & Carlos D. Brody. (2018). Posterior parietal cortex represents sensory history and mediates its effects on behaviour. Nature. 554(7692). 368–372. 204 indexed citations
16.
Akrami, Athena, et al.. (2017). Transformation of Perception from Sensory to Motor Cortex. Current Biology. 27(11). 1585–1596.e6. 44 indexed citations
17.
Bak, Ji Hyun, Jung Yoon Choi, Athena Akrami, Ilana B. Witten, & Jonathan W. Pillow. (2016). Adaptive optimal training of animal behavior. Bulletin of the American Physical Society. 2017. 1947–1955. 13 indexed citations
18.
Akrami, Athena, et al.. (2016). Coherence between Rat Sensorimotor System and Hippocampus Is Enhanced during Tactile Discrimination. PLoS Biology. 14(2). e1002384–e1002384. 62 indexed citations
19.
Nasrabady, Sara Ebrahimi, Athena Akrami, Elena Bianchetti, et al.. (2012). Unusual increase in lumbar network excitability of the rat spinal cord evoked by the PARP-1 inhibitor PJ-34 through inhibition of glutamate uptake. Neuropharmacology. 63(3). 415–426. 13 indexed citations
20.
Akrami, Athena, Eleonora Russo, & Alessandro Treves. (2011). Lateral thinking, from the Hopfield model to cortical dynamics. Brain Research. 1434. 4–16. 14 indexed citations

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.

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