Hyung‐Ryong Kim

21.5k citations
232 papers · 8.6k indexed · 4 hit papers · h-index 43

Hyung‐Ryong Kim

227 papers receiving 8.4k citations

Hit Papers

From Diagnosis to Treatment: Recent Ad...2612015202620182022200400600

Peers

Hyung‐Ryong Kim
Comparison fields: 5 of 175
  • Cell Biology 1.9k
  • Biochemistry 444
  • Molecular Biology 3.9k
  • Physiology 239
  • Epidemiology 1.7k
Replace Han–Jung Chae with:
Han–Jung Chae South Korea
Jian Xiao China
Xiaobo Wang China
Ling Qi United States
Sung Soo Kim South Korea
Quan Chen China
Saeid Ghavami Canada
Ying Wang China
Chao Zhang China
Athanasios G. Papavassiliou Greece
Hyung‐Ryong Kim relative to Han–Jung Chae South Korea Han–Jung Chae's profile →
Citations per field
00.5×1.5×
Han–Jung Chae · 1×
Citations per year

Countries citing papers authored by Hyung‐Ryong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyung‐Ryong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202226
4 20221
5 20229
6 202124
7 202125
8 202043
9 201910
10 201738
11 200827
12
A Human-Robot Emotional Interaction Experiment through an OX Quiz Game between Human and Robot
20062
13
Fabrication and Test of the Three-Phase 6.6 kV Resistive Superconducting Fault Current Limiter Using YBCO Thin Films
20041
14 20023
15 200116
16 200134
17 200121
18 2000136
19
Transition metal induces apoptosis in MC3T3E1 osteoblast: Evidence of free radical release
20008
20
Effect of Cytokines and bFGF on the Osteoclast Differentiation Induced by $1\;{\alpha},25-(OH)_2D_3$ in Primary Murine Bone Marrow Cultures
19991

About Hyung‐Ryong Kim

Hyung‐Ryong Kim is a scholar working on Cell Biology, Immunology and Immunology and Allergy, having authored 232 papers that have together received 8.6k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (40 papers), Autophagy in Disease and Therapy (28 papers), Bone Metabolism and Diseases (18 papers), Mast cells and histamine (16 papers), NF-κB Signaling Pathways (16 papers), Cell death mechanisms and regulation (14 papers), Nitric Oxide and Endothelin Effects (12 papers) and Heme Oxygenase-1 and Carbon Monoxide (12 papers). The work is most often cited by research in Cell Biology (1.9k citations), Biochemistry (444 citations) and Molecular Biology (3.9k citations). Hyung‐Ryong Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Han–Jung Chae, Soo‐Wan Chae, Raj Kumar Yadav, Keum Hwa Lee, Kashi Raj Bhattarai, Do‐Sung Kim, Bidur Bhandary, Geum‐Hwa Lee, Anu Marahatta and John C. Reed. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

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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