Szu‐Han Wang

3.1k citations
45 papers · 2.1k indexed · h-index 23
Topics
Memory and Neural Mechanisms (26 papers)Neuroscience and Neuropharmacology Research (22 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)

In The Last Decade

Szu‐Han Wang

43 papers receiving 2.1k citations

Peers

Szu‐Han Wang
Comparison fields: 5 of 112
  • Cognitive Neuroscience 1.3k
  • Cellular and Molecular Neuroscience 1.2k
  • Molecular Biology 415
  • Behavioral Neuroscience 255
  • Neurology 235
Replace Jeongyeon Kim with:
Jeongyeon Kim South Korea
James B. Daunais United States
Taiju Amano Japan
Luciene Covolan Brazil
Joachim Behr Germany
Maria Pikkarainen Finland
Linus D. Sun United States
Timothy J. Jarome United States
Sarah C. Rogan United States
James Fallon United States
Szu‐Han Wang relative to Jeongyeon Kim South Korea Jeongyeon Kim's profile →
Citations per field
00.5×1.7×
Jeongyeon Kim · 1×
Citations per year

Countries citing papers authored by Szu‐Han Wang

Since Specialization
Citations

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

Fields of papers citing papers by Szu‐Han Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Szu‐Han Wang. 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 Szu‐Han Wang. The network helps show where Szu‐Han Wang may publish in the future.

Co-authorship network of co-authors of Szu‐Han Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Szu‐Han Wang. A scholar is included among the top collaborators of Szu‐Han Wang 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 Szu‐Han Wang. Szu‐Han Wang 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 1
2 1
3 2
4 4
5 6
6 30
7 16
8 26
9 42
10 65
11 175
12 92
13 249
14 116
15 62
16 88
17 24
18 64
19 40
20 34

About Szu‐Han Wang

Szu‐Han Wang is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 2.1k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (26 papers), Neuroscience and Neuropharmacology Research (22 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Behavioral Neuroscience (255 citations), Cellular and Molecular Neuroscience (1.2k citations) and Cognitive Neuroscience (1.3k citations). Szu‐Han Wang has collaborated with scholars based in United Kingdom, Taiwan and Canada. Frequent co-authors include Richard Morris, Karim Nader, Lucas de Oliveira Alvares, Paul W. Frankland, Roger L. Redondo, Cátia M. Teixeira, Anne L. Wheeler, Oliver Hardt, Bernard W. Balleine and Dorothy Tse. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Neuron.

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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