Hoon Shim

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

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
    • Neuroscience and Neuropharmacology Research
    • Nuclear Receptors and Signaling

Papers in

    • Amyotrophic Lateral Sclerosis Research 8
    • Parkinson's Disease Mechanisms and Treatments 3
    • Receptor Mechanisms and Signaling 3

Hoon Shim

20 papers receiving 1.3k citations

Peers

Hoon Shim
Comparison fields: 5 of 93
  • Neurology 754
  • Neurology 228
  • Cellular and Molecular Neuroscience 434
  • Genetics 164
  • Cell Biology 232
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Hoon Shim relative to Janet Brownlees United Kingdom Janet Brownlees's profile →
Citations per field
00.5×1.5×
Janet Brownlees · 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 2009407
2 2008156
3 2003113
4 2005101
5 200788
6 200671
7 201161
8 201358
9 200948
10 201037
11 201235
12 201034
13 200830
14 201824
15 200623
16 20068
17 20067
18 20221
19 20101
20 20131

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), Receptor Mechanisms and Signaling (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Alzheimer's disease research and treatments (2 papers), Computational Drug Discovery Methods (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Neurology (754 citations), Neurology (228 citations), Cellular and Molecular Neuroscience (434 citations), Genetics (164 citations) and Cell Biology (232 citations). Hoon Shim has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Huaibin Cai, Xian Lin, Chengsong Xie, Chen Lai, Z. Leah Harris, Jayanth Chandran, Lizhen Wang, Loukia Parisiadou, Lixin Sun and Jinhui Ding. Their work appears in journals such as Journal of Neuroscience, Neurobiology of Aging, Human Molecular Genetics, Journal of Nutrition and Neurodegenerative Diseases.

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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