Gagan S. Wig
- Cognitive Neuroscience top 0.1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Psychiatry and Mental health top 1%
- Social Psychology top 2%
- Co-authors
- Steven E. PetersenBradley L. SchlaggarScott M. NelsonJonathan D. PowerAlexander L. CohenKelly A. BarnesJessica A. ChurchAlecia C. Vogel
- Topics
- Functional Brain Connectivity Studies (28 papers)Neural dynamics and brain function (20 papers)Memory and Neural Mechanisms (11 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Gagan S. Wig
49 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cognitive Neuroscience 7.1k
- Radiology, Nuclear Medicine and Imaging 2.3k
- Experimental and Cognitive Psychology 1.6k
- Psychiatry and Mental health 915
- Social Psychology 440
Countries citing papers authored by Gagan S. Wig
This map shows the geographic impact of Gagan S. Wig'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 Gagan S. Wig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gagan S. Wig more than expected).
Fields of papers citing papers by Gagan S. Wig
This network shows the impact of papers produced by Gagan S. Wig. 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 Gagan S. Wig. The network helps show where Gagan S. Wig may publish in the future.
Co-authorship network of co-authors of Gagan S. Wig
This figure shows the co-authorship network connecting the top 25 collaborators of Gagan S. Wig. A scholar is included among the top collaborators of Gagan S. Wig 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 Gagan S. Wig. Gagan S. Wig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 18 | |
| 4 | 9 | |
| 5 | 13 | |
| 6 | 57 | |
| 7 | 17 | |
| 8 | Decreased segregation of brain systems across the healthy adult lifespanbreakdown → | 614 |
| 9 | 100 | |
| 10 | 138 | |
| 11 | 157 | |
| 12 | 44 | |
| 13 | 45 | |
| 14 | Prediction of Individual Brain Maturity Using fMRIbreakdown → | 1584 |
| 15 | 296 | |
| 16 | 15 | |
| 17 | 78 | |
| 18 | 151 | |
| 19 | 168 | |
| 20 | 59 |
About Gagan S. Wig
Gagan S. Wig is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and General Decision Sciences, having authored 49 papers that have together received 8.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (28 papers), Neural dynamics and brain function (20 papers) and Memory and Neural Mechanisms (11 papers). The work is most often cited by research in Cognitive Neuroscience (7.1k citations), Experimental and Cognitive Psychology (1.6k citations) and Radiology, Nuclear Medicine and Imaging (2.3k citations). Gagan S. Wig has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Steven E. Petersen, Bradley L. Schlaggar, Scott M. Nelson, Jonathan D. Power, Alexander L. Cohen, Kelly A. Barnes, Jessica A. Church, Alecia C. Vogel, Timothy O. Laumann and Micaela Y. Chan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.
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.