Sung Won Kim

50 papers receiving 1.9k citations

Hit Papers

β-Amyloid accumulation in the human brain after one night...20182026202020232018200400600

Peers

Sung Won Kim
Comparison fields: 5 of 131
  • Molecular Biology 678
  • Cellular and Molecular Neuroscience 368
  • Cognitive Neuroscience 340
  • Physiology 266
  • Experimental and Cognitive Psychology 226
Replace Francesco De Nuccio with:
Francesco De Nuccio Italy
Vincenzo Libri United Kingdom
Takeo Yoshikawa Japan
Christopher J. Davis United States
Maria Del Zompo Italy
Ji Hu China
Thomas Bettecken Germany
Christophe Drieu La Rochelle France
Yuji Ozeki Japan
Sung Won Kim relative to Francesco De Nuccio Italy Francesco De Nuccio's profile →
Citations per field
00.5×
Francesco De Nuccio · 1×
Citations per year

Countries citing papers authored by Sung Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sung Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung Won Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Won Kim. A scholar is included among the top collaborators of Sung Won 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 Sung Won Kim. Sung Won 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 3
2 18
3 22
4 13
5 2
6 25
7
β-Amyloid accumulation in the human brain after one night of sleep deprivationbreakdown →
612
8 13
9 23
10 44
11 7
12 3
13 79
14 27
15 87
16 10
17 85
18 39
19 54
20
소아에서 잡초류 알레르기 감작률의 증가와 알레르기성 잡초류의 연중 화분량과의 상관관계
18

About Sung Won Kim

Sung Won Kim is a scholar working on Physiology, Behavioral Neuroscience and Pharmacology, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Histone Deacetylase Inhibitors Research (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Biological Psychiatry (111 citations), Endocrine and Autonomic Systems (196 citations) and Behavioral Neuroscience (86 citations). Sung Won Kim has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Nora D. Volkow, Joanna S. Fowler, Gene‐Jack Wang, Jacob M. Hooker, Dardo Tomasi, Colleen Shea, Corinde E. Wiers, Helene Benveniste, Min Guo and Şükrü Barış Demiral. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.

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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