Lin Nga
- Cognitive Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Experimental and Cognitive Psychology top 5%
- Behavioral Neuroscience top 5%
- Social Psychology
- Co-authors
- Mara MatherMichiko SakakiJulian F. ThayerTae‐Ho LeeHyun Joo YooNichole R. LighthallSarinnapha M. VasunilashornSangeetha Somayajula
- Topics
- Neural and Behavioral Psychology Studies (4 papers)Functional Brain Connectivity Studies (3 papers)Neural dynamics and brain function (2 papers)
- Cited by
- Behavioral NeuroscienceNeuropsychology and Physiological PsychologyGeneral Decision Sciences
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Lin Nga
9 papers receiving 560 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 278
- Cardiology and Cardiovascular Medicine 192
- Experimental and Cognitive Psychology 184
- Behavioral Neuroscience 137
- Social Psychology 73
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-authorship network of co-authors of Lin Nga
This figure shows the co-authorship network connecting the top 25 collaborators of Lin Nga. A scholar is included among the top collaborators of Lin Nga 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 Lin Nga. Lin Nga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | Gender differences in reward-related decision processing under stress. Social Cognitive and Affective Neuroscience, 7, 476-484. | 0 |
| 3 | 176 | |
| 4 | 9 | |
| 5 | 56 | |
| 6 | 11 | |
| 7 | 14 | |
| 8 | 13 | |
| 9 | 198 | |
| 10 | 38 |
About Lin Nga
Lin Nga is a scholar working on Neuropsychology and Physiological Psychology, Cognitive Neuroscience and Behavioral Neuroscience, 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) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Behavioral Neuroscience (137 citations), Neuropsychology and Physiological Psychology (29 citations) and General Decision Sciences (31 citations). Lin Nga has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mara Mather, Michiko Sakaki, Julian F. Thayer, Tae‐Ho Lee, Hyun Joo Yoo, Nichole R. Lighthall, Sarinnapha M. Vasunilashorn, Sangeetha Somayajula, Eric Chen and Marissa A. Gorlick. Their work appears in journals such as NeuroImage, Journal of Cognitive Neuroscience and Neuroreport.
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.