Yoon Sik Kim

747 citations
22 papers · 589 indexed · h-index 12

Yoon Sik Kim

18 papers receiving 581 citations

Peers

Yoon Sik Kim
Comparison fields: 5 of 72
  • Endocrine and Autonomic Systems 253
  • Behavioral Neuroscience 52
  • Cellular and Molecular Neuroscience 246
  • Social Psychology 148
  • Cognitive Neuroscience 140
Replace Philippe Kachidian with:
Philippe Kachidian France
Elizabeth E. Hur United States
Kayo Mitsukawa United States
Alessandra Oberto Italy
Chenghui Song United States
David M. Bronstein United States
De‐Lai Qiu China
Chun‐Ping Chu China
Thomas Schiffelholz Germany
Arturo M. Banzán Argentina
Yoon Sik Kim relative to Philippe Kachidian France Philippe Kachidian's profile →
Citations per field
00.5×2.9×
Philippe Kachidian · 1×
Citations per year

Countries citing papers authored by Yoon Sik Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yoon Sik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20209
3 20181
4 20185
5 201718
6 201618
7 201642
8 201521
9 201528
10 201525
11 201370
12 201177
13 200950
14 200914
15
Effect of Gucheokbogol-tang in Proliferation and Calcification of Osteoblast
20081
16 2008141
17
Facilitated Axonal Regeneration of Injured Sciatic Nerves by Yukmijihwang-tang Treatment
20081
18
Improved Regenerative Responses of Injured Spinal Cord Nerve Fibers by the Treatment of Sukjihwang(Rehmanniae radix preparat)
20071
19
Growth Promoting Effects of Oriental Medicinal Drugs on Sciatic Nerve Regeneration in the Rat
20051
20 200562

About Yoon Sik Kim

Yoon Sik Kim is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Health Informatics, having authored 22 papers that have together received 589 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (9 papers), Neuroendocrine regulation and behavior (5 papers), Sleep and Wakefulness Research (5 papers), Stress Responses and Cortisol (3 papers), Photoreceptor and optogenetics research (3 papers), Nerve injury and regeneration (3 papers), Neuroscience of respiration and sleep (3 papers) and Healthcare and Venom Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (253 citations), Behavioral Neuroscience (52 citations) and Cellular and Molecular Neuroscience (246 citations). Yoon Sik Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Yang In Kim, Hee Chul Han, Jeong Sook Kim, Christopher S. Colwell, Woong Bin Kim, Young‐Beom Kim, Seung Won Lee, Seung Kil Hong, C. Justin Lee and Analyne Schroeder. Their work appears in journals such as Journal of Neuroscience, European Journal of Neuroscience, Molecular Brain, Diabetes and Cardiovascular Research.

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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