Hoon Shim

1.7k citations
20 papers · 1.3k · h-index 15

Impact in

  • Neurology top 1%
    • Parkinson's Disease Mechanisms and Treatments
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
    • Neuroscience and Neuropharmacology Research
    • Nuclear Receptors and Signaling

Papers in

Hoon Shim

20 papers receiving 1.3k citations

Peers

Hoon Shim
Comparison fields: 5 of 89
  • Neurology 747
  • Neurology 213
  • Cellular and Molecular Neuroscience 420
  • Genetics 160
  • Cell Biology 217
Replace Leslie I. Grad with:
Leslie I. Grad Canada
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Terina N. Martinez United States
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Toni Williamson United States
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Owen M. Peters United Kingdom
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Hoon Shim relative to Leslie I. Grad Canada Leslie I. Grad's profile →
Citations per field
00.5×2.9×
Leslie I. Grad · 1×
Citations per year

Countries citing papers authored by Hoon Shim

Since Specialization
Citations

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

Fields of papers citing papers by Hoon Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2009411
2 2008156
3 2003115
4 2005101
5 200788
6 200672
7 201161
8 201360
9 200948
10 201037
11 201235
12 201034
13 200830
14 201825
15 200623
16 20068
17 20067
18 20221
19 20131
20 20101

About Hoon Shim

Hoon Shim is a scholar working on Neurology, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Cell Biology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (8 papers), Neurogenetic and Muscular Disorders Research (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Alzheimer's disease research and treatments (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Neurology (747 citations), Neurology (213 citations), Cellular and Molecular Neuroscience (420 citations), Genetics (160 citations) and Cell Biology (217 citations). Hoon Shim has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Huaibin Cai, Xian Lin, Chengsong Xie, Z. Leah Harris, Chen Lai, Jayanth Chandran, Lizhen Wang, Loukia Parisiadou, Lixin Sun and Jinhui Ding. Their work appears in journals such as Journal of Neuroscience, Neurobiology of Aging, Journal of Neuroimmunology, Molecular Neurodegeneration and The FASEB Journal.

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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