Teddy J. Akiki
- Biological Psychiatry top 5%
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol 3
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 16
- Memory and Neural Mechanisms 4
- Neural dynamics and brain function 3
- Developmental Neuroscience top 10%
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- Mental Health Research Topics 11
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- Treatment of Major Depression 9
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- Posttraumatic Stress Disorder Research 4
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- Advanced Neuroimaging Techniques and Applications 4
- Co-authors
- Chadi G. AbdallahChristopher L. AverillLynnette A. AverillJohn H. KrystalBrian C. SchweinsburgJ. Cobb ScottSteven M. SouthwickKristen M. Wrocklage
- Journals
- SHILAP Revista de lepidopterología (4 papers)Nature reviews. Neuroscience (1 paper)NeuroImage (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Teddy J. Akiki
22 papers receiving 855 citations
Peers
Comparison fields: 5 of 74
- Biological Psychiatry 114
- Behavioral Neuroscience 133
- Cognitive Neuroscience 471
- Developmental Neuroscience 61
- Experimental and Cognitive Psychology 183
Countries citing papers authored by Teddy J. Akiki
This map shows the geographic impact of Teddy J. Akiki'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 Teddy J. Akiki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teddy J. Akiki more than expected).
Fields of papers citing papers by Teddy J. Akiki
This network shows the impact of papers produced by Teddy J. Akiki. 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 Teddy J. Akiki. The network helps show where Teddy J. Akiki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teddy J. Akiki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 7 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 27 | |
| 10 | 2022 | 5 | |
| 11 | 2019 | 20 | |
| 12 | 2019 | 58 | |
| 13 | 2018 | 133 | |
| 14 | 2018 | 15 | |
| 15 | 2018 | 38 | |
| 16 | 2018 | 9 | |
| 17 | 2018 | 54 | |
| 18 | 2017 | 55 | |
| 19 | 2017 | 227 | |
| 20 | The Etiology of Depression and the Therapeutic Implications | 2014 | 1 |
About Teddy J. Akiki
Teddy J. Akiki is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Behavioral Neuroscience, having authored 25 papers that have together received 864 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Mental Health Research Topics (11 papers), Treatment of Major Depression (9 papers), Posttraumatic Stress Disorder Research (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Memory and Neural Mechanisms (4 papers), Stress Responses and Cortisol (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Biological Psychiatry (114 citations), Behavioral Neuroscience (133 citations) and Cognitive Neuroscience (471 citations). Teddy J. Akiki has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Chadi G. Abdallah, Christopher L. Averill, Lynnette A. Averill, John H. Krystal, Brian C. Schweinsburg, J. Cobb Scott, Steven M. Southwick, Kristen M. Wrocklage, Brenda Martini and Aaron Alexander‐Bloch. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature reviews. Neuroscience and NeuroImage.
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.