Luke J. Chang

8.2k citations
60 papers · 4.9k indexed · 2 hit papers · h-index 32
Topics
Neural and Behavioral Psychology Studies (20 papers)Functional Brain Connectivity Studies (13 papers)Psychology of Moral and Emotional Judgment (11 papers)

In The Last Decade

Luke J. Chang

59 papers receiving 4.8k citations

Hit Papers

Decoding the Role of the Insula in Human Cognition: Funct...201220262016202120122017200400600

Peers

Luke J. Chang
Comparison fields: 5 of 151
  • Cognitive Neuroscience 3.3k
  • Experimental and Cognitive Psychology 1.3k
  • Social Psychology 967
  • Psychiatry and Mental health 588
  • Clinical Psychology 497
Replace Ajay B. Satpute with:
Ajay B. Satpute United States
Rongjun Yu China
Roland Zahn United Kingdom
Jean‐Claude Dreher France
Frank Krüeger United States
Christian J. Fiebach Germany
Katherine H. Karlsgodt United States
Christian C. Ruff Switzerland
Lee Ryan United States
Kerstin Preuschoff Switzerland
Luke J. Chang relative to Ajay B. Satpute United States Ajay B. Satpute's profile →
Citations per field
00.5×1.6×
Ajay B. Satpute · 1×
Citations per year

Countries citing papers authored by Luke J. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Luke J. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke J. Chang. 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 Luke J. Chang. The network helps show where Luke J. Chang may publish in the future.

Co-authorship network of co-authors of Luke J. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Luke J. Chang. A scholar is included among the top collaborators of Luke J. Chang 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 Luke J. Chang. Luke J. Chang 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 10
2 22
3 82
4 32
5 10
6 25
7 9
8 14
9 12
10 66
11
Building better biomarkers: brain models in translational neuroimagingbreakdown →
638
12 20
13 55
14 34
15 238
16 124
17 175
18 16
19 70
20 83

About Luke J. Chang

Luke J. Chang is a scholar working on General Decision Sciences, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 60 papers that have together received 4.9k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (20 papers), Functional Brain Connectivity Studies (13 papers) and Psychology of Moral and Emotional Judgment (11 papers). The work is most often cited by research in Cognitive Neuroscience (3.3k citations), Experimental and Cognitive Psychology (1.3k citations) and General Decision Sciences (171 citations). Luke J. Chang has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Alan G. Sanfey, Tor D. Wager, Tal Yarkoni, Choong‐Wan Woo, Mel Win Khaw, Martin A. Lindquist, Eshin Jolly, Mascha van ‘t Wout‐Frank, Anjali Krishnan and Dominic S. Fareri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.

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