Seongeun Cho

875 citations
37 papers · 702 · h-index 14

Impact in

Papers in

Seongeun Cho

34 papers receiving 688 citations

Peers

Seongeun Cho
Comparison fields: 5 of 104
  • Developmental Neuroscience 99
  • Cellular and Molecular Neuroscience 196
  • Neurology 85
  • Neurology 74
  • Physiology 98
Replace Daniela Grumme with:
Daniela Grumme Germany
Mahmoudreza Hadjighassem Iran
Sujeong Jang South Korea
Ernest J. Freeman United States
Qi Han China
Jami L. Scheib United States
Hanseul Park South Korea
Si–Wei You China
Kamel Kacem France
Seongeun Cho relative to Daniela Grumme Germany Daniela Grumme's profile →
Citations per field
00.5×2.8×
Daniela Grumme · 1×
Citations per year

Countries citing papers authored by Seongeun Cho

Since Specialization
Citations

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

Fields of papers citing papers by Seongeun Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007188
2 200068
3 199761
4 200450
5 200534
6 200730
7 200028
8 201427
9 200425
10 202321
11 201421
12 200217
13 202216
14 201916
15 201412
16 202111
17 202310
18 20178
19 20017
20 20237

About Seongeun Cho

Seongeun Cho is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 37 papers that have together received 702 indexed citations. Recurring topics across this work include Quantum Dots Synthesis And Properties (6 papers), Analog and Mixed-Signal Circuit Design (6 papers), Advanced MEMS and NEMS Technologies (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Ultrasound Imaging and Elastography (3 papers), Perovskite Materials and Applications (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (99 citations), Cellular and Molecular Neuroscience (196 citations), Neurology (85 citations), Neurology (74 citations) and Physiology (98 citations). Seongeun Cho has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Mark R. Bowlby, Andrew Wood, Norton H. Neff, Andrew Wood, Danni Liu, Glyn Dawson, Jörn Lausen, Philip E. Dawson, Milton H. Werner and Brendan Bingham. Their work appears in journals such as Journal of Physics D Applied Physics, Chemical Engineering Journal, Nano Energy, Brain Research and Journal of Alloys and Compounds.

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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