Eli J. Cornblath
Impact in
Papers in
-
- Functional Brain Connectivity Studies 11
- Neural dynamics and brain function 7
- EEG and Brain-Computer Interfaces 4
- Co-authors
- Danielle S. Bassett (9 shared papers)Daniel Goldman (3 shared papers)Curtis Powell (3 shared papers)John Q. Trojanowski (4 shared papers)Virginia M.‐Y. Lee (4 shared papers)Hannah J. Brown (3 shared papers)Michael X. Henderson (3 shared papers)Ana R. Grant (1 shared paper)
- Journals
- Epilepsia (3 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Biomedical Engineering (2 papers)Journal of Biological Chemistry (2 papers)Molecular Psychiatry (2 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Eli J. Cornblath
24 papers receiving 826 citations
Peers
Comparison fields: 5 of 98
- Aging 38
- Neurology 234
- Neurology 96
- Developmental Neuroscience 45
- Cognitive Neuroscience 205
Countries citing papers authored by Eli J. Cornblath
This map shows the geographic impact of Eli J. Cornblath'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 Eli J. Cornblath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli J. Cornblath more than expected).
Fields of papers citing papers by Eli J. Cornblath
This network shows the impact of papers produced by Eli J. Cornblath. 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 Eli J. Cornblath. The network helps show where Eli J. Cornblath may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli J. Cornblath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 189 | |
| 2 | 2013 | 109 | |
| 3 | 2019 | 99 | |
| 4 | 2016 | 84 | |
| 5 | 2020 | 60 | |
| 6 | 2018 | 49 | |
| 7 | 2023 | 48 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 27 | |
| 10 | 2014 | 20 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2023 | 14 | |
| 14 | 2019 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2022 | 6 |
About Eli J. Cornblath
Eli J. Cornblath is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology and Physiology, having authored 25 papers that have together received 838 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (4 papers), Alzheimer's disease research and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Advanced MRI Techniques and Applications (2 papers), interferon and immune responses (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Aging (38 citations), Neurology (234 citations), Neurology (96 citations), Developmental Neuroscience (45 citations) and Cognitive Neuroscience (205 citations). Eli J. Cornblath has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Danielle S. Bassett, Daniel Goldman, Curtis Powell, John Q. Trojanowski, Virginia M.‐Y. Lee, Hannah J. Brown, Michael X. Henderson, Ana R. Grant, Ronald J. Gathagan and Adam S. Darwich. Their work appears in journals such as Epilepsia, Proceedings of the National Academy of Sciences, Nature Biomedical Engineering, Journal of Biological Chemistry and Molecular Psychiatry.
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.