Sang Won Suh

16.8k citations
149 papers · 9.0k indexed · 2 hit papers · h-index 45
Topics
Trace Elements in Health (48 papers)Neuroscience and Neuropharmacology Research (34 papers)Neuroinflammation and Neurodegeneration Mechanisms (32 papers)

In The Last Decade

Sang Won Suh

144 papers receiving 8.8k citations

Hit Papers

The Role of Zinc in Selective Neuronal Death After Transi...199620262006201619962000250500750

Peers

Sang Won Suh
Comparison fields: 5 of 144
  • Nutrition and Dietetics 3.0k
  • Molecular Biology 2.8k
  • Cellular and Molecular Neuroscience 2.1k
  • Physiology 1.9k
  • Neurology 1.4k
Replace Stefano L. Sensi with:
Stefano L. Sensi Italy
John H. Weiss United States
Jae‐Young Koh South Korea
Paul A. Adlard Australia
Ian J. Reynolds United States
David T. Dexter United Kingdom
Byoung Joo Gwag South Korea
Vellareddy Anantharam United States
Lorella M.T. Canzoniero Italy
Mark A. Lovell United States
Sang Won Suh relative to Stefano L. Sensi Italy Stefano L. Sensi's profile →
Citations per field
00.5×1.6×
Stefano L. Sensi · 1×
Citations per year

Countries citing papers authored by Sang Won Suh

Since Specialization
Citations

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

Fields of papers citing papers by Sang Won Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Won Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Won Suh. A scholar is included among the top collaborators of Sang Won Suh 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 Sang Won Suh. Sang Won Suh 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 14
2 5
3 2
4 7
5 12
6 27
7 20
8 10
9 38
10 22
11 13
12 39
13 30
14 11
15 17
16 17
17 49
18 8
19 149
20
Importance of Zinc in the Central Nervous System: The Zinc-Containing Neuronbreakdown →
706

About Sang Won Suh

Sang Won Suh is a scholar working on Neurology, Developmental Neuroscience and Nutrition and Dietetics, having authored 149 papers that have together received 9.0k indexed citations. Recurring topics across this work include Trace Elements in Health (48 papers), Neuroscience and Neuropharmacology Research (34 papers) and Neuroinflammation and Neurodegeneration Mechanisms (32 papers). The work is most often cited by research in Nutrition and Dietetics (3.0k citations), Neurology (1.4k citations) and Cellular and Molecular Neuroscience (2.1k citations). Sang Won Suh has collaborated with scholars based in South Korea, United States and Denmark. Frequent co-authors include Raymond A. Swanson, Christopher J. Frederickson, Jae‐Young Koh, Bo Young Choi, Aaron M. Hamby, Tiina M. Kauppinen, David Silva, Yong Y. He, Chung Y. Hsu and Byoung Joo Gwag. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

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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