Lin Nga
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Neural and Behavioral Psychology Studies 4
- Functional Brain Connectivity Studies 3
- Memory and Neural Mechanisms 2
- Neural dynamics and brain function 2
-
- Evolutionary Psychology and Human Behavior 1
- Mental Health Research Topics 1
- Co-authors
- Mara Mather (10 shared papers)Michiko Sakaki (7 shared papers)Tae‐Ho Lee (2 shared papers)Julian F. Thayer (2 shared papers)Hyun Joo Yoo (2 shared papers)Nichole R. Lighthall (3 shared papers)Sangeetha Somayajula (2 shared papers)Eric Chen (1 shared paper)
- Journals
- Neuroreport (2 papers)Journal of Cognitive Neuroscience (2 papers)NeuroImage (1 paper)Cognition & Emotion (1 paper)Frontiers in Integrative Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Lin Nga
9 papers receiving 560 citations
Peers
Comparison fields: 5 of 78
- Behavioral Neuroscience 137
- Neuropsychology and Physiological Psychology 29
- General Decision Sciences 31
- Cognitive Neuroscience 278
- Experimental and Cognitive Psychology 184
Countries citing papers authored by Lin Nga
This map shows the geographic impact of Lin Nga'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 Lin Nga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Nga more than expected).
Fields of papers citing papers by Lin Nga
This network shows the impact of papers produced by Lin Nga. 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 Lin Nga. The network helps show where Lin Nga may publish in the future.
Co-authors
The 15 scholars most cited alongside Lin Nga, 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 | 2011 | 198 | |
| 2 | 2016 | 176 | |
| 3 | 2017 | 59 | |
| 4 | 2013 | 56 | |
| 5 | 2010 | 38 | |
| 6 | 2012 | 14 | |
| 7 | 2011 | 13 | |
| 8 | 2013 | 11 | |
| 9 | 2013 | 9 | |
| 10 | Gender differences in reward-related decision processing under stress. Social Cognitive and Affective Neuroscience, 7, 476-484. | 2017 | 0 |
About Lin Nga
Lin Nga is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology, Cardiology and Cardiovascular Medicine and Computer Networks and Communications, having authored 10 papers that have together received 574 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (4 papers), Functional Brain Connectivity Studies (3 papers), Memory and Neural Mechanisms (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Aging and Gerontology Research (2 papers), Neural dynamics and brain function (2 papers), Evolutionary Psychology and Human Behavior (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Behavioral Neuroscience (137 citations), Neuropsychology and Physiological Psychology (29 citations), General Decision Sciences (31 citations), Cognitive Neuroscience (278 citations) and Experimental and Cognitive Psychology (184 citations). Lin Nga has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mara Mather, Michiko Sakaki, Tae‐Ho Lee, Julian F. Thayer, Hyun Joo Yoo, Nichole R. Lighthall, Sangeetha Somayajula, Eric Chen, Sarinnapha M. Vasunilashorn and Marissa A. Gorlick. Their work appears in journals such as Neuroreport, Journal of Cognitive Neuroscience, NeuroImage, Cognition & Emotion and Frontiers in Integrative Neuroscience.
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.