Dana E. Feldman
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Functional Brain Connectivity Studies 5
- EEG and Brain-Computer Interfaces 3
- Sleep and Wakefulness Research 3
-
- Neurotransmitter Receptor Influence on Behavior 5
- Co-authors
- Peter Manza (13 shared papers)Gene‐Jack Wang (13 shared papers)Nora D. Volkow (13 shared papers)Danielle S. Kroll (12 shared papers)Natalie C. Tronson (1 shared paper)Ashley A. Keiser (1 shared paper)Corinde E. Wiers (8 shared papers)Katherine McPherson (9 shared papers)
- Journals
- Cerebral Cortex (2 papers)Frontiers in Psychiatry (1 paper)Nature Communications (1 paper)Science China Information Sciences (1 paper)Communications Biology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Dana E. Feldman
14 papers receiving 420 citations
Peers
Comparison fields: 5 of 76
- Behavioral Neuroscience 104
- Biological Psychiatry 23
- Cognitive Neuroscience 165
- Cellular and Molecular Neuroscience 107
- Endocrine and Autonomic Systems 38
Countries citing papers authored by Dana E. Feldman
This map shows the geographic impact of Dana E. Feldman'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 Dana E. Feldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana E. Feldman more than expected).
Fields of papers citing papers by Dana E. Feldman
This network shows the impact of papers produced by Dana E. Feldman. 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 Dana E. Feldman. The network helps show where Dana E. Feldman may publish in the future.
Co-authors
The 25 scholars most cited alongside Dana E. Feldman, 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 | 2016 | 157 | |
| 2 | 2019 | 50 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 30 | |
| 5 | 2019 | 30 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 2 |
About Dana E. Feldman
Dana E. Feldman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology, Endocrine and Autonomic Systems and Developmental Neuroscience, having authored 14 papers that have together received 424 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), EEG and Brain-Computer Interfaces (3 papers), Sleep and related disorders (3 papers), Sleep and Wakefulness Research (3 papers), Attention Deficit Hyperactivity Disorder (2 papers), Regulation of Appetite and Obesity (2 papers) and Mental Health Research Topics (1 paper). The work is most often cited by research in Behavioral Neuroscience (104 citations), Biological Psychiatry (23 citations), Cognitive Neuroscience (165 citations), Cellular and Molecular Neuroscience (107 citations) and Endocrine and Autonomic Systems (38 citations). Dana E. Feldman has collaborated with scholars based in United States and China. Frequent co-authors include Peter Manza, Gene‐Jack Wang, Nora D. Volkow, Danielle S. Kroll, Natalie C. Tronson, Ashley A. Keiser, Corinde E. Wiers, Katherine McPherson, Dardo Tomasi and Christopher Kure Liu. Their work appears in journals such as Cerebral Cortex, Frontiers in Psychiatry, Nature Communications, Science China Information Sciences and Communications Biology.
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.