Jun Ku Chung

1.7k citations
53 papers · 1.3k indexed · h-index 20
Topics
Functional Brain Connectivity Studies (16 papers)Dementia and Cognitive Impairment Research (11 papers)Schizophrenia research and treatment (11 papers)
Partner nations
CanadaJapanUnited States

In The Last Decade

Jun Ku Chung

53 papers receiving 1.3k citations

Peers

Jun Ku Chung
Comparison fields: 5 of 99
  • Psychiatry and Mental health 661
  • Cognitive Neuroscience 410
  • Biological Psychiatry 274
  • Cellular and Molecular Neuroscience 251
  • Radiology, Nuclear Medicine and Imaging 201
Replace William T. Regenold with:
William T. Regenold United States
Nobuhisa Kanahara Japan
María Luisa Soto‐Montenegro Spain
Hisanobu Kaiya Japan
Eduard Parellada Spain
Masataka Wada Japan
Anders Ettrup Denmark
Sakiko Tsugawa Japan
Harald Scherk Germany
Ryosuke Tarumi Japan
Jun Ku Chung relative to William T. Regenold United States William T. Regenold's profile →
Citations per field
00.5×1.5×2.1×
William T. Regenold · 1×
Citations per year

Countries citing papers authored by Jun Ku Chung

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ku Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Ku Chung. 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 Jun Ku Chung. The network helps show where Jun Ku Chung may publish in the future.

Co-authorship network of co-authors of Jun Ku Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ku Chung. A scholar is included among the top collaborators of Jun Ku Chung 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 Jun Ku Chung. Jun Ku Chung 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 12
2 13
3 47
4 7
5 12
6 44
7 2
8 45
9 41
10 10
11 1
12 17
13 17
14 10
15 8
16 20
17 66
18 121
19 1
20 2

About Jun Ku Chung

Jun Ku Chung is a scholar working on Psychiatry and Mental health, Biological Psychiatry and Cognitive Neuroscience, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Dementia and Cognitive Impairment Research (11 papers) and Schizophrenia research and treatment (11 papers). The work is most often cited by research in Biological Psychiatry (274 citations), Psychiatry and Mental health (661 citations) and Behavioral Neuroscience (99 citations). Jun Ku Chung has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Ariel Graff‐Guerrero, Eric Plitman, Yusuke Iwata, Fernando Caravaggio, Philip Gerretsen, Shinichiro Nakajima, M. Mallar Chakravarty, Gary Remington, Masaru Mimura and Julia Kim. Their work appears in journals such as Circulation, Biological Psychiatry and The British Journal of 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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