Suk-Won Ahn

887 citations
32 papers · 641 · h-index 14

Impact in

    • Multiple Sclerosis Research Studies
  • Neurology top 5%
    • Peripheral Neuropathies and Disorders
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Myasthenia Gravis and Thymoma

Papers in

Suk-Won Ahn

29 papers receiving 626 citations

Peers

Suk-Won Ahn
Comparison fields: 5 of 72
  • Pathology and Forensic Medicine 283
  • Neurology 233
  • Genetics 44
  • Rheumatology 60
  • Neurology 28
Replace Norah S. Lincoff with:
Norah S. Lincoff United States
Rana Zabad United States
Margarete M. Voortman Austria
Francesca Vitetta Italy
Chandrajit Prasad India
Jerry Cheriyan United States
Barbara Barun Croatia
Małgorzata Bilińska Poland
Benjamin Berger Germany
Simon Thebault Canada
Suk-Won Ahn relative to Norah S. Lincoff United States Norah S. Lincoff's profile →
Citations per field
00.5×1.5×2.4×
Norah S. Lincoff · 1×
Citations per year

Countries citing papers authored by Suk-Won Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Suk-Won Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk-Won Ahn. 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 Suk-Won Ahn. The network helps show where Suk-Won Ahn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201293
2 201977
3 201754
4 201352
5 201149
6 201236
7 201834
8 202132
9 201732
10 201128
11 201327
12 201218
13 201417
14 201514
15 201013
16 201312
17 20179
18 20147
19 20136
20 20176

About Suk-Won Ahn

Suk-Won Ahn is a scholar working on Pathology and Forensic Medicine, Neurology, Genetics, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 32 papers that have together received 641 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (11 papers), Amyotrophic Lateral Sclerosis Research (7 papers), Neurogenetic and Muscular Disorders Research (3 papers), Peripheral Nerve Disorders (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Myasthenia Gravis and Thymoma (2 papers), Dementia and Cognitive Impairment Research (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (283 citations), Neurology (233 citations), Genetics (44 citations), Rheumatology (60 citations) and Neurology (28 citations). Suk-Won Ahn has collaborated with scholars based in South Korea, Canada and Ethiopia. Frequent co-authors include Byung‐Jo Kim, Kwang Woo Lee, Kyung Seok Park, Ho Jin Kim, Su‐Hyun Kim, Min Su Park, Joong‐Yang Cho, Yoon‐Ho Hong, Kwang‐Yeol Park and Jung‐Joon Sung. Their work appears in journals such as Multiple Sclerosis Journal, Journal of the Neurological Sciences, PLoS ONE, Experimental Neurobiology and Journal of Korean Medical Science.

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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