Soon D. Koh

1.2k citations
32 papers · 992 indexed · h-index 16
Topics
Neuroscience and Music Perception (9 papers)Visual and Cognitive Learning Processes (7 papers)Educational and Psychological Assessments (7 papers)
Partner nations
United States

In The Last Decade

Soon D. Koh

31 papers receiving 806 citations

Peers

Soon D. Koh
Comparison fields: 5 of 81
  • Cognitive Neuroscience 538
  • Psychiatry and Mental health 471
  • Developmental and Educational Psychology 217
  • Experimental and Cognitive Psychology 179
  • Philosophy 165
Replace Gregory K. Shenaut with:
Gregory K. Shenaut United States
Julian Silverman United States
Yuan-Yu Hsu Taiwan
Stephanie Portnoy United States
Leonard F. Salzman United States
Caroline Huron France
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João Correia Netherlands
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Soon D. Koh relative to Gregory K. Shenaut United States Gregory K. Shenaut's profile →
Citations per field
00.5×2.7×
Gregory K. Shenaut · 1×
Citations per year

Countries citing papers authored by Soon D. Koh

Since Specialization
Citations

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

Fields of papers citing papers by Soon D. Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon D. Koh. 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 Soon D. Koh. The network helps show where Soon D. Koh may publish in the future.

Co-authorship network of co-authors of Soon D. Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Soon D. Koh. A scholar is included among the top collaborators of Soon D. Koh 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 Soon D. Koh. Soon D. Koh 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 16
2 8
3 40
4 3
5 6
6 58
7
Remembering of verbal materials by schizophrenic young adults.
97
8 13
9 45
10 61
11 155
12 19
13
Effects of oral preschool compared to early manual communication on education and communication in deaf children.
26
14 5
15
Early manual communication and deaf children's achievement.
89
16 1
17 3
18 9
19 10
20 76

About Soon D. Koh

Soon D. Koh is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 32 papers that have together received 992 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (9 papers), Visual and Cognitive Learning Processes (7 papers) and Educational and Psychological Assessments (7 papers). The work is most often cited by research in Psychiatry and Mental health (471 citations), Cognitive Neuroscience (538 citations) and Family Practice (59 citations). Soon D. Koh has collaborated with scholars based in United States. Frequent co-authors include Lawrence Kayton, Jordan B. Peterson, McCay Vernon, Philip Teitelbaum, Roy R. Grinker, Patrick Forman, Edward A. Wolpert, William L. Bailey, Alexander J. Rosen and Harry S. Upshaw. Their work appears in journals such as Science, Journal of Consulting and Clinical Psychology and Journal of Abnormal Psychology.

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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