Hyojin Chae

1.5k citations
100 papers · 996 · h-index 17

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Antibiotic Resistance in Bacteria

Papers in

Hyojin Chae

95 papers receiving 974 citations

Peers

Hyojin Chae
Comparison fields: 5 of 102
  • Hematology 128
  • Molecular Medicine 51
  • Genetics 171
  • Clinical Biochemistry 40
  • Genetics 60
Replace J Takahara with:
J Takahara Japan
Jing Feng China
Alison Davis United Kingdom
Stéphanie Papin Switzerland
Yonghui Yang China
H. Sakamoto Japan
Kristina Forsman‐Semb Sweden
Ghasem Solgi Iran
Gopalkrishna Sreejit United States
Chong-Shan Shi United States
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Hyojin Chae

Since Specialization
Citations

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

Fields of papers citing papers by Hyojin Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201257
3 201153
4 201947
5 199143
6 201628
7 201226
8 201120
9 201520
10
Molecular analysis of the PAX6 gene for congenital aniridia in the Korean population: identification of four novel mutations.
201219
11 201318
12 201618
13 201318
14 201318
15 201216
16 201816
17 201416
18 202215
19 201515
20 201614

About Hyojin Chae

Hyojin Chae is a scholar working on Molecular Biology, Genetics, Physiology, Hematology and Pediatrics, Perinatology and Child Health, having authored 100 papers that have together received 996 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Acute Myeloid Leukemia Research (5 papers), Clinical Laboratory Practices and Quality Control (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Mitochondrial Function and Pathology (4 papers), Neonatal Health and Biochemistry (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Hematology (128 citations), Molecular Medicine (51 citations), Genetics (171 citations), Clinical Biochemistry (40 citations) and Genetics (60 citations). Hyojin Chae has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Myungshin Kim, Yonggoo Kim, Woori Jang, Joonhong Park, Jihyang Lim, Kyungja Han, Eun‐Jee Oh, Eunhee Han, Dong Wook Jekarl and Ahlm Kwon. Their work appears in journals such as Annals of Laboratory Medicine, Clinica Chimica Acta, Journal of Clinical Laboratory Analysis, Clinical Biochemistry and American Journal of Clinical Pathology.

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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