Gabriela Gan

1.4k citations
23 papers · 516 indexed · h-index 14
Topics
Functional Brain Connectivity Studies (10 papers)Neural and Behavioral Psychology Studies (8 papers)Mental Health Research Topics (4 papers)

In The Last Decade

Gabriela Gan

23 papers receiving 507 citations

Peers

Gabriela Gan
Comparison fields: 5 of 85
  • Cognitive Neuroscience 199
  • Experimental and Cognitive Psychology 127
  • Clinical Psychology 121
  • Cellular and Molecular Neuroscience 83
  • Social Psychology 78
Replace Agnes Norbury with:
Agnes Norbury United Kingdom
Keanan J. Joyner United States
Wim van den Brink Netherlands
Alecia D. Dager United States
Marlies A.E. Marissen Netherlands
Jindra Bakker Netherlands
Daniela Jenni Switzerland
Anna Ridgewell United Kingdom
Andrea Kobiella Germany
Elizabeth Schroth United States
Gabriela Gan relative to Agnes Norbury United Kingdom Agnes Norbury's profile →
Citations per field
00.5×1.5×2.5×
Agnes Norbury · 1×
Citations per year

Countries citing papers authored by Gabriela Gan

Since Specialization
Citations

This map shows the geographic impact of Gabriela Gan'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 Gabriela Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriela Gan more than expected).

Fields of papers citing papers by Gabriela Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriela Gan. 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 Gabriela Gan. The network helps show where Gabriela Gan may publish in the future.

Co-authorship network of co-authors of Gabriela Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Gan. A scholar is included among the top collaborators of Gabriela Gan 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 Gabriela Gan. Gabriela Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 22
4 21
5 5
6 72
7 1
8 12
9 22
10 10
11 19
12 17
13 13
14 39
15 21
16 36
17 42
18 73
19 35
20 8

About Gabriela Gan

Gabriela Gan is a scholar working on Cognitive Neuroscience, Applied Psychology and Experimental and Cognitive Psychology, having authored 23 papers that have together received 516 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Neural and Behavioral Psychology Studies (8 papers) and Mental Health Research Topics (4 papers). The work is most often cited by research in Applied Psychology (55 citations), Cognitive Neuroscience (199 citations) and Behavioral Neuroscience (35 citations). Gabriela Gan has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Michael N. Smolka, U. Zimmermann, Michael Marxen, Nelly Alia‐Klein, Muhammad A. Parvaz, Rita Z. Goldstein, Scott J. Moeller, Maximilian Pilhatsch, Andreas Meyer‐Lindenberg and Eva Mennigen. Their work appears in journals such as PLoS ONE, Brain and Biological 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.

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