Chul Na

11 papers receiving 652 citations

Peers

Chul Na
Comparison fields: 5 of 90
  • Biological Psychiatry 32
  • Immunology and Allergy 60
  • Cognitive Neuroscience 178
  • Psychiatry and Mental health 133
  • Behavioral Neuroscience 28
Replace Christoph von der Goltz with:
Christoph von der Goltz Germany
Jakob Linnet Denmark
Ayhan Bi̇lgi̇ç Türkiye
Abeer M. Eissa Egypt
Jacob Epstein United States
Joseph P. Horrigan United States
Tommaso Ballarini Germany
Andrea G. Ludolph Germany
Glòria Palomar Spain
Berna Uluğ Türkiye
Chul Na relative to Christoph von der Goltz Germany Christoph von der Goltz's profile →
Citations per field
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Christoph von der Goltz · 1×
Citations per year

Countries citing papers authored by Chul Na

Since Specialization
Citations

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

Fields of papers citing papers by Chul Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1991224
2 2007149
3 2015113
4 199459
5 200448
6 200631
7 200827
8 200516
9 200210
10 19917
11
Relationship between alcohol withdrawal symptoms and dopaminergic gene polymorphisms (DRD2, DAT, COMT) in alcohol dependence patients
20062

About Chul Na

Chul Na is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Cognitive Neuroscience and Surgery, having authored 11 papers that have together received 686 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (3 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Neurological disorders and treatments (2 papers), Functional Brain Connectivity Studies (2 papers), Genetic Neurodegenerative Diseases (2 papers), Smoking Behavior and Cessation (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Ocular Surface and Contact Lens (1 paper). The work is most often cited by research in Biological Psychiatry (32 citations), Immunology and Allergy (60 citations), Cognitive Neuroscience (178 citations), Psychiatry and Mental health (133 citations) and Behavioral Neuroscience (28 citations). Chul Na has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Young Sik Lee, P. Murali Doraiswamy, Baik Seok Kee, K. Ranga Krishnan, William M. McDonald, Mustafa M. Husain, Doug Hyun Han, Gary S. Figiel, P. Rodrigo Escalona and Orest B. Boyko. Their work appears in journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Cornea, Journal of Affective Disorders, Psychiatric Genetics and Journal of Geriatric Psychiatry and Neurology.

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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