Sung Eun Kwon

1.6k citations
16 papers · 1.2k · h-index 11

Impact in

Papers in

    • Cellular transport and secretion 5
    • Neural dynamics and brain function 3
    • Tactile and Sensory Interactions 2
    • Motor Control and Adaptation 1

Sung Eun Kwon

15 papers receiving 1.2k citations

Peers

Sung Eun Kwon
Comparison fields: 5 of 59
  • Cell Biology 262
  • Cellular and Molecular Neuroscience 156
  • Cognitive Neuroscience 183
  • Developmental Neuroscience 19
  • Physiology 50
Replace Luisa Ponzoni with:
Luisa Ponzoni Italy
Jayeeta Basu United States
Manja Schubert Germany
Susana Santos Correia United States
Gunnar Dick Norway
Gregory Nachtrab United States
P.Nickolas Shepel Canada
Álvaro O. Ardiles Chile
Chanpreet Singh United States
Inseon Song Japan
Sung Eun Kwon relative to Luisa Ponzoni Italy Luisa Ponzoni's profile →
Citations per field
00.5×1.5×2×2.4×
Luisa Ponzoni · 1×
Citations per year

Countries citing papers authored by Sung Eun Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sung Eun Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sung Eun Kwon, 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 Sung Eun Kwon Line = papers co-authored together Sung Eun Kwon links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2011391
2 2011171
3 2016149
4 2015139
5 2011112
6 201496
7 201243
8 201841
9 200723
10 201717
11 202017
12 20216
13 20235
14 20224
15 20183
16 20250

About Sung Eun Kwon

Sung Eun Kwon is a scholar working on Cell Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology and Electrical and Electronic Engineering, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Neural dynamics and brain function (3 papers), Tactile and Sensory Interactions (2 papers), Motor Control and Adaptation (1 paper), Advanced MEMS and NEMS Technologies (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Multisensory perception and integration (1 paper). The work is most often cited by research in Cell Biology (262 citations), Cellular and Molecular Neuroscience (156 citations), Cognitive Neuroscience (183 citations), Developmental Neuroscience (19 citations) and Physiology (50 citations). Sung Eun Kwon has collaborated with scholars based in United States. Frequent co-authors include Edwin R. Chapman, Daniel H. O’Connor, Hongdian Yang, Jun Yao, Jon D. Gaffaney, Genki Minamisawa, Kyle S. Severson, F. Mark Dunning, Enfu Hui and Yang Lu. Their work appears in journals such as Nature Neuroscience, Neuroscience, Journal of Neuroscience, Communications Biology and Frontiers in Systems 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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