Yunjo Kim

2.0k citations
9 papers · 1.7k indexed · 2 hit papers · h-index 7

Impact in

Papers in

Yunjo Kim

9 papers receiving 1.6k citations

Hit Papers

SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations 2018 · 592 citations
5922017202620202023100200300400500

Peers

Yunjo Kim
Comparison fields: 5 of 55
  • Materials Chemistry 911
  • Electrical and Electronic Engineering 1.1k
  • Cellular and Molecular Neuroscience 311
  • Electronic, Optical and Magnetic Materials 262
  • Condensed Matter Physics 158
Replace Ivona Z. Mitrović with:
Ivona Z. Mitrović United Kingdom
Peihong Cheng China
Jiebin Niu China
Weizhen Liu China
Chanyeol Choi United States
Qiuxiang Zhu China
Jaekyun Kim South Korea
Nianduan Lu China
Zhenghao Long Hong Kong
Yunjo Kim relative to Ivona Z. Mitrović United Kingdom Ivona Z. Mitrović's profile →
Citations per field
00.5×1.5×1.9×
Ivona Z. Mitrović · 1×
Citations per year

Countries citing papers authored by Yunjo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yunjo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 20214
2 202050
3 2019214
4 2019237
5
SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations
Hit paper breakdown →
2018592
6 201892
7 20182
8
Remote epitaxy through graphene enables two-dimensional material-based layer transfer
Hit paper breakdown →
2017454
9 201734

About Yunjo Kim

Yunjo Kim is a scholar working on Biophysics, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nanowire Synthesis and Applications (4 papers), Graphene research and applications (4 papers), 2D Materials and Applications (3 papers), Photonic and Optical Devices (2 papers), Ga2O3 and related materials (1 paper), Electronic and Structural Properties of Oxides (1 paper), Transition Metal Oxide Nanomaterials (1 paper) and Photoacoustic and Ultrasonic Imaging (1 paper). The work is most often cited by research in Materials Chemistry (911 citations), Electrical and Electronic Engineering (1.1k citations), Cellular and Molecular Neuroscience (311 citations), Electronic, Optical and Magnetic Materials (262 citations) and Condensed Matter Physics (158 citations). Yunjo Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Jeehwan Kim, Chanyeol Choi, Wei Kong, Zefan Li, Shimeng Yu, Pai-Yu Chen, Han‐Wool Yeon, Shinhyun Choi, Scott H. Tan and Hyun S. Kum. Their work appears in journals such as Nature Materials, Applied Physics Letters, Nature Electronics, Nature Photonics and Nature.

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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