Hang‐Rai Kim

584 citations
44 papers · 366 · h-index 11

Impact in

Papers in

Hang‐Rai Kim

38 papers receiving 359 citations

Peers

Hang‐Rai Kim
Comparison fields: 5 of 55
  • Psychiatry and Mental health 82
  • Neurology 66
  • Physiology 86
  • Neurology 27
  • Cognitive Neuroscience 59
Replace Ludovic Fillon with:
Ludovic Fillon France
Per Suppa Germany
Masuhiro Sakata Japan
Michael W. Mann France
Peter Shih-Ping Hung Canada
Caroline Dallaire‐Théroux Canada
Lene Pålhaugen Norway
Anna Emilia Blanken United States
Isabel Lamet Spain
Ryota Kobayashi Japan
Hang‐Rai Kim relative to Ludovic Fillon France Ludovic Fillon's profile →
Citations per field
00.5×2×3×4×4.9×
Ludovic Fillon · 1×
Citations per year

Countries citing papers authored by Hang‐Rai Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hang‐Rai Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2 202337
3 202034
4 202230
5 202330
6 201821
7 202021
8 202114
9 202512
10 202512
11 202111
12 20209
13 20208
14 20218
15 20228
16 20156
17 20165
18 20195
19 20245
20 20245

About Hang‐Rai Kim

Hang‐Rai Kim is a scholar working on Psychiatry and Mental health, Physiology, Neurology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 366 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (14 papers), Alzheimer's disease research and treatments (9 papers), Acute Ischemic Stroke Management (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Genetic Associations and Epidemiology (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Trigeminal Neuralgia and Treatments (2 papers). The work is most often cited by research in Psychiatry and Mental health (82 citations), Neurology (66 citations), Physiology (86 citations), Neurology (27 citations) and Cognitive Neuroscience (59 citations). Hang‐Rai Kim has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Yong Hoon Jeong, Jin Ho Jung, Seok Jong Chung, Phil Hyu Lee, Young H. Sohn, Peter D. Lee, Sang Won Seo, Han Soo Yoo, Yang Hyun Lee and Hyunwoo Nam. Their work appears in journals such as Alzheimer s & Dementia, Neurology, Alzheimer s Research & Therapy, Journal of Alzheimer s Disease and JAMA Network Open.

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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