Jun‐Hyeong Kim

1.0k citations
20 papers · 655 indexed · 1 hit paper · h-index 9

Jun‐Hyeong Kim

19 papers receiving 643 citations

Hit Papers

Akkermansia muciniphila secretes a glucagon-like peptide-...4062021202620222024100200300400

Peers

Jun‐Hyeong Kim
Comparison fields: 5 of 107
  • Automotive Engineering 197
  • Biological Psychiatry 26
  • Drug Discovery 1
  • Physiology 140
  • Food Science 77
Replace Xiaoming Wang with:
Xiaoming Wang China
Huabing Yang China
Jun Zeng China
Kaixiang Li China
Yingquan Liu China
Hyemin Kim South Korea
Chi‐Yu Chen Taiwan
Yue Bai China
Ping Gan China
Lu Xia Netherlands
Jun‐Hyeong Kim relative to Xiaoming Wang China Xiaoming Wang's profile →
Citations per field
00.5×
Xiaoming Wang · 1×
Citations per year

Countries citing papers authored by Jun‐Hyeong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Hyeong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202416
3 20249
4 20246
5 202410
6 20233
7 20236
8 20222
9 20223
10 20227
11 20224
12 202124
13 202190
14
Akkermansia muciniphila secretes a glucagon-like peptide-1-inducing protein that improves glucose homeostasis and ameliorates metabolic disease in micebreakdown →
2021406
15 20218
16 20214
17 202015
18 202027
19 201811
20 20184

About Jun‐Hyeong Kim

Jun‐Hyeong Kim is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 655 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (11 papers), Advanced Battery Materials and Technologies (10 papers), Advanced MRI Techniques and Applications (6 papers), Electrical and Bioimpedance Tomography (3 papers), MRI in cancer diagnosis (2 papers), Ultrasound Imaging and Elastography (2 papers) and Advanced battery technologies research (2 papers). The work is most often cited by research in Automotive Engineering (197 citations), Biological Psychiatry (26 citations) and Drug Discovery (1 citation). Jun‐Hyeong Kim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Ki‐Yong Oh, Eunji Kwak, Hyo Shin Yoon, Dohyun Han, Sung Jae Jang, GwangPyo Ko, Chung Hwan Cho, Hyun Ju You, Sung‐Joon Lee and Yeon‐Ji Kim. Their work appears in journals such as Journal of Power Sources, Magnetic Resonance in Medicine and Energy.

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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