Doo Soon Im

423 citations
12 papers · 231 · h-index 9

Impact in

  • Neurology top 10%
    • Neurological Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Amyotrophic Lateral Sclerosis Research
    • Neurological Disorders and Treatments
    • Parkinson's Disease Mechanisms and Treatments
    • Alzheimer's disease research and treatments

Papers in

Doo Soon Im

12 papers receiving 231 citations

Peers

Doo Soon Im
Comparison fields: 5 of 56
  • Neurology 59
  • Neurology 33
  • Physiology 54
  • Developmental Neuroscience 8
  • Pharmacology 24
Replace Karolina Minta with:
Karolina Minta Sweden
Yajun Lian China
Corey J. Anderson United States
Núria Martín‐Flores Spain
Maria Guarnaccia Italy
Xiaoxia Zeng China
Junying Yuan United States
Jui‐Heng Tseng United States
Ghata Nandi United States
John Wizeman United States
Doo Soon Im relative to Karolina Minta Sweden Karolina Minta's profile →
Citations per field
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Karolina Minta · 1×
Citations per year

Countries citing papers authored by Doo Soon Im

Since Specialization
Citations

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

Fields of papers citing papers by Doo Soon Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doo Soon Im. 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 Doo Soon Im. The network helps show where Doo Soon Im may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201555
2 201054
3 201230
4 201120
5 201220
6 201714
7 201011
8 201910
9 20139
10 20226
11 20201
12 20241

About Doo Soon Im

Doo Soon Im is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Oncology and Neurology, having authored 12 papers that have together received 231 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Mitochondrial Function and Pathology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cancer-related Molecular Pathways (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Neurology (59 citations), Neurology (33 citations), Physiology (54 citations), Developmental Neuroscience (8 citations) and Pharmacology (24 citations). Doo Soon Im has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Byoung Joo Gwag, Jin Soo Lee, In Soo Joo, Ji Man Hong, Young‐Sil An, Steve Callaghan, Ruth S. Slack, David S. Park, Dianbo Qu and Alvin Joselin. Their work appears in journals such as Journal of Neurochemistry, Journal of Biological Chemistry, Neuroreport, BMC Biology and Experimental Neurobiology.

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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