Kang-Sik Park

1.2k citations
24 papers · 915 · h-index 15

Impact in

Papers in

Kang-Sik Park

23 papers receiving 908 citations

Peers

Kang-Sik Park
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 335
  • Molecular Biology 635
  • Cardiology and Cardiovascular Medicine 202
  • Sensory Systems 43
  • Genetics 89
Replace Michaela Jaksch with:
Michaela Jaksch Germany
Sumimasa Yamashita Japan
Rabary M. Rajerison France
Claus Hansen Denmark
Núria Comes Spain
Michael Flagella United States
Gaia Gherardi Italy
Vsevolod Telezhkin United Kingdom
Hironori Nakanishi Japan
Nanna K. Jørgensen Denmark
Kang-Sik Park relative to Michaela Jaksch Germany Michaela Jaksch's profile →
Citations per field
00.5×2.8×
Michaela Jaksch · 1×
Citations per year

Countries citing papers authored by Kang-Sik Park

Since Specialization
Citations

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

Fields of papers citing papers by Kang-Sik Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang-Sik Park. 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 Kang-Sik Park. The network helps show where Kang-Sik Park may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006226
2 2021129
3 200691
4 201583
5 200763
6 201051
7 200845
8 201732
9 201326
10 201522
11 201621
12 200721
13 201120
14 201318
15 202414
16 201412
17 201411
18 201010
19 20137
20 20136

About Kang-Sik Park

Kang-Sik Park is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Spectroscopy and Physiology, having authored 24 papers that have together received 915 indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Mass Spectrometry Techniques and Applications (5 papers), Alzheimer's disease research and treatments (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Ginseng Biological Effects and Applications (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (335 citations), Molecular Biology (635 citations), Cardiology and Cardiovascular Medicine (202 citations), Sensory Systems (43 citations) and Genetics (89 citations). Kang-Sik Park has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include James S. Trimmer, Durga P. Mohapatra, Hiroaki Misonou, Jae‐Won Yang, Min‐Young Song, Yumi Kwon, Milena Menegola, Cheolju Lee, Sungho Shin and Jong Wook Chang. Their work appears in journals such as Journal of Proteome Research, International Journal of Molecular Sciences, Journal of Ginseng Research, Proceedings of the National Academy of Sciences and Neurochemical 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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