Sungmo Park

1.2k citations
27 papers · 788 · h-index 11

Impact in

Papers in

Sungmo Park

27 papers receiving 777 citations

Peers

Sungmo Park
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 575
  • Cognitive Neuroscience 529
  • Behavioral Neuroscience 81
  • Neurology 97
  • Developmental Neuroscience 42
Replace Matthew M. Tran with:
Matthew M. Tran Canada
Pei-Ann Lin United States
Shruti Muralidhar United States
Priyanka Rao‐Ruiz Netherlands
Alan R. Woodruff United States
Nathan Insel Canada
Paul G. Anastasiades United Kingdom
Jihye Kim South Korea
Chenguang Zheng China
Sungmo Park relative to Matthew M. Tran Canada Matthew M. Tran's profile →
Citations per field
00.5×1.5×2.3×
Matthew M. Tran · 1×
Citations per year

Countries citing papers authored by Sungmo Park

Since Specialization
Citations

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

Fields of papers citing papers by Sungmo Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sungmo Park. 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 Sungmo Park. The network helps show where Sungmo Park may publish in the future.

Co-authors

The 25 scholars most cited alongside Sungmo Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sungmo Park Line = papers co-authored together Sungmo Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016255
2 2015158
3 2016132
4 201338
5 201931
6 201123
7 202420
8 201515
9 201314
10 201612
11 200912
12 201110
13 201210
14 20149
15 20247
16 20227
17 20097
18 20245
19 20184
20 20094

About Sungmo Park

Sungmo Park is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering, Neurology and Civil and Structural Engineering, having authored 27 papers that have together received 788 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (18 papers), Neuroscience and Neuropharmacology Research (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neural dynamics and brain function (4 papers), Optical Polarization and Ellipsometry (3 papers), Neuroendocrine regulation and behavior (3 papers), Stress Responses and Cortisol (3 papers) and GaN-based semiconductor devices and materials (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (575 citations), Cognitive Neuroscience (529 citations), Behavioral Neuroscience (81 citations), Neurology (97 citations) and Developmental Neuroscience (42 citations). Sungmo Park has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Sheena A. Josselyn, Paul W. Frankland, Asim J. Rashid, Valentina Mercaldo, Karl Deisseroth, Charu Ramakrishnan, Soo Yeun Lee, Yan Chen, Hwa‐Lin Hsiang and Christina Cole. Their work appears in journals such as Neuropsychopharmacology, Japanese Journal of Applied Physics, Nature Neuroscience, PLoS ONE and Scientific Reports.

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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