Yunkwon Nam

990 citations
34 papers · 697 indexed · 1 hit paper · h-index 15

Impact in

Papers in

Yunkwon Nam

33 papers receiving 696 citations

Hit Papers

Second-generation anti-amyloid monoclonal antibodies for Alzheimer’s disease: current landscape and future perspectives 2025 · 39 citations
3920252026102030

Peers

Yunkwon Nam
Comparison fields: 5 of 97
  • Biological Psychiatry 106
  • Neurology 120
  • Physiology 303
  • Developmental Neuroscience 31
  • Complementary and alternative medicine 60
Replace Lina Gao with:
Lina Gao China
Tânia Araújo Viel Brazil
Afzal Misrani China
Puneet Rinwa India
Shijun Xu China
Kyonghwan Choe Netherlands
Yacoubou Abdoul Razak Mahaman China
Xiaoman Dai China
Syeda Madiha Pakistan
Michelle Lima Garcez Brazil
Yunkwon Nam relative to Lina Gao China Lina Gao's profile →
Citations per field
00.5×3.8×
Lina Gao · 1×
Citations per year

Countries citing papers authored by Yunkwon Nam

Since Specialization
Citations

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

Fields of papers citing papers by Yunkwon Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202511
3
Second-generation anti-amyloid monoclonal antibodies for Alzheimer’s disease: current landscape and future perspectives
Hit paper breakdown →
202539
4 20251
5 20252
6 20248
7 20245
8 20245
9 20244
10 20238
11 20239
12 20235
13 20229
14 202214
15 202142
16 2021100
17 202013
18 202032
19 201913
20 201838

About Yunkwon Nam

Yunkwon Nam is a scholar working on Biological Psychiatry, Physiology, Neurology, Developmental Neuroscience and Pharmacology, having authored 34 papers that have together received 697 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (23 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Ginseng Biological Effects and Applications (5 papers), Pharmacological Effects of Natural Compounds (5 papers), Natural product bioactivities and synthesis (4 papers), Tryptophan and brain disorders (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Biological Psychiatry (106 citations), Neurology (120 citations), Physiology (303 citations), Developmental Neuroscience (31 citations) and Complementary and alternative medicine (60 citations). Yunkwon Nam has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Minho Moon, Soo Jung Shin, Seong Gak Jeon, Sujin Kim, Hyeon soo Kim, Yong Ho Park, Yong‐Ho Park, Sang Bum Hong, Jin-il Kim and Yong Yook Lee. Their work appears in journals such as International Journal of Molecular Sciences, Biomedicine & Pharmacotherapy, Biomedicines, Translational Neurodegeneration and Frontiers in Aging Neuroscience.

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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