Chan Hyun Na

2.6k citations
72 papers · 1.6k indexed · h-index 22
Topics
Alzheimer's disease research and treatments (14 papers)Advanced Proteomics Techniques and Applications (9 papers)Parkinson's Disease Mechanisms and Treatments (8 papers)

In The Last Decade

Chan Hyun Na

65 papers receiving 1.6k citations

Peers

Chan Hyun Na
Comparison fields: 5 of 100
  • Molecular Biology 995
  • Cell Biology 251
  • Physiology 246
  • Neurology 207
  • Spectroscopy 166
Replace Mathieu Lavallée‐Adam with:
Mathieu Lavallée‐Adam Canada
Özge Karayel Germany
Jakob M. Bader Germany
Hikaru Tsuchiya Japan
Zhiping Wu United States
Yoshito Kinoshita United States
Daniel B. McClatchy United States
Angela Cattaneo Italy
Chris N. Goulbourne United States
Lynn Bedford United Kingdom
Chan Hyun Na relative to Mathieu Lavallée‐Adam Canada Mathieu Lavallée‐Adam's profile →
Citations per field
00.5×3.5×
Mathieu Lavallée‐Adam · 1×
Citations per year

Countries citing papers authored by Chan Hyun Na

Since Specialization
Citations

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

Fields of papers citing papers by Chan Hyun Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Hyun Na. 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 Chan Hyun Na. The network helps show where Chan Hyun Na may publish in the future.

Co-authorship network of co-authors of Chan Hyun Na

This figure shows the co-authorship network connecting the top 25 collaborators of Chan Hyun Na. A scholar is included among the top collaborators of Chan Hyun Na based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chan Hyun Na. Chan Hyun Na is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 0
4 0
5 4
6 0
7 0
8 1
9 2
10 3
11 7
12 29
13 18
14 35
15 31
16 15
17 12
18 58
19 4
20 34

About Chan Hyun Na

Chan Hyun Na is a scholar working on Neurology, Neurology and Molecular Biology, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Advanced Proteomics Techniques and Applications (9 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). The work is most often cited by research in Cell Biology (251 citations), Molecular Biology (995 citations) and Neurology (207 citations). Chan Hyun Na has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Akhilesh Pandey, Junmin Peng, Santosh Renuse, Anil K. Madugundu, Raja Sekhar Nirujogi, Yura Jang, Richard L. Huganir, Min‐Sik Kim, Sungtaek Oh and Abhay Moghekar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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