Grace Yoon

5.0k citations
97 papers · 2.1k · h-index 25

Impact in

Papers in

Grace Yoon

92 papers receiving 2.0k citations

Peers

Grace Yoon
Comparison fields: 5 of 108
  • Cellular and Molecular Neuroscience 632
  • Molecular Biology 1.4k
  • Neurology 157
  • Clinical Biochemistry 123
  • Genetics 149
Replace Hirofumi Komaki with:
Hirofumi Komaki Japan
Kazuhiro Haginoya Japan
John T. Sladky United States
Gunnar Buyse Belgium
Adnan Y. Manzur United Kingdom
A. Gélot France
Carlo Fusco Italy
Paolo Balestri Italy
Satoko Kumada Japan
Zühal Yapıcı Türkiye
Grace Yoon relative to Hirofumi Komaki Japan Hirofumi Komaki's profile →
Citations per field
00.5×2.7×
Hirofumi Komaki · 1×
Citations per year

Countries citing papers authored by Grace Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Grace Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016197
2 2011169
3 2015163
4 200796
5 200669
6 200468
7 201367
8 201658
9 201554
10 201951
11 201136
12 201535
13 202033
14 202233
15 201233
16 200833
17 201233
18 200631
19 201830
20 201829

About Grace Yoon

Grace Yoon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Neurology, having authored 97 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (32 papers), Genetic Neurodegenerative Diseases (29 papers), Neurological diseases and metabolism (12 papers), Hereditary Neurological Disorders (11 papers), Muscle Physiology and Disorders (10 papers), DNA Repair Mechanisms (9 papers), Metabolism and Genetic Disorders (9 papers) and Neurological disorders and treatments (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (632 citations), Molecular Biology (1.4k citations), Neurology (157 citations), Clinical Biochemistry (123 citations) and Genetics (149 citations). Grace Yoon has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Susan Blasér, Louis J. Ptáček, Ying‐Hui Fu, Keith W. Caldecott, Laura McAdam, Rudaina Banihani, Katherine A. Rauen, Annie Dupuis, Sharon Smile and Almundher Al‐Maawali. Their work appears in journals such as Neuromuscular Disorders, Journal of Child Neurology, Neurology, Movement Disorders and Annals of Clinical and Translational Neurology.

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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