M. Justin Kim

4.5k citations
48 papers · 2.7k indexed · 1 hit paper · h-index 22
Topics
Functional Brain Connectivity Studies (18 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (11 papers)Neural and Behavioral Psychology Studies (11 papers)

In The Last Decade

M. Justin Kim

41 papers receiving 2.7k citations

Hit Papers

The structural and functional connectivity of the amygdal...20112026201620212011200400600

Peers

M. Justin Kim
Comparison fields: 5 of 109
  • Cognitive Neuroscience 1.5k
  • Experimental and Cognitive Psychology 775
  • Clinical Psychology 540
  • Psychiatry and Mental health 477
  • Radiology, Nuclear Medicine and Imaging 468
Replace Valentina Lorenzetti with:
Valentina Lorenzetti Australia
Marisa M. Silveri United States
Lianne Schmaal Australia
Luciano Minuzzi Canada
Colm G. Connolly United States
Yihong Yang United States
Anne Beck Germany
Michael J. Travis United States
Shane McKie United Kingdom
Brenda E. Benson United States
M. Justin Kim relative to Valentina Lorenzetti Australia Valentina Lorenzetti's profile →
Citations per field
00.5×1.7×
Valentina Lorenzetti · 1×
Citations per year

Countries citing papers authored by M. Justin Kim

Since Specialization
Citations

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

Fields of papers citing papers by M. Justin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Justin Kim. 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 M. Justin Kim. The network helps show where M. Justin Kim may publish in the future.

Co-authorship network of co-authors of M. Justin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of M. Justin Kim. A scholar is included among the top collaborators of M. Justin Kim 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 M. Justin Kim. M. Justin Kim 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 0
2 0
3 0
4 5
5 8
6 13
7 31
8 12
9 37
10 10
11 18
12 10
13 22
14 50
15 352
16 145
17 90
18 210
19 64
20 80

About M. Justin Kim

M. Justin Kim is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (18 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (11 papers) and Neural and Behavioral Psychology Studies (11 papers). The work is most often cited by research in Behavioral Neuroscience (354 citations), Cognitive Neuroscience (1.5k citations) and Experimental and Cognitive Psychology (775 citations). M. Justin Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Paul J. Whalen, Amy Palmer, In Kyoon Lyoo, Ashley N. Marchante, F. Caroline Davis, Perry F. Renshaw, Dylan G. Gee, Minyoung Sim, Ian H. Gotlib and J. Paul Hamilton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific Reports.

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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