Sojin An

891 citations
26 papers · 683 · h-index 16

Impact in

Papers in

    • RNA Research and Splicing 6
    • Genomics and Chromatin Dynamics 5
    • Epigenetics and DNA Methylation 3
    • Heme Oxygenase-1 and Carbon Monoxide 3
    • Cholesterol and Lipid Metabolism 5

Sojin An

26 papers receiving 666 citations

Peers

Sojin An
Comparison fields: 5 of 84
  • Biochemistry 83
  • Toxicology 31
  • Molecular Biology 497
  • Cancer Research 58
  • Cell Biology 59
Replace Seung-Rock Lee with:
Seung-Rock Lee South Korea
Tatsuro Iso Japan
Narçın Palavan-Ünsal Türkiye
Takeshi Nishii Japan
Hong Seok Kim South Korea
Marc Issandou France
Feng Pan China
Thomas Primiano United States
José A. Pellicer Spain
Enas M. Moustafa Egypt
Sojin An relative to Seung-Rock Lee South Korea Seung-Rock Lee's profile →
Citations per field
00.5×1.5×1.9×
Seung-Rock Lee · 1×
Citations per year

Countries citing papers authored by Sojin An

Since Specialization
Citations

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

Fields of papers citing papers by Sojin An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015125
2 2011105
3 201755
4 201946
5 200639
6 200339
7 201029
8 201927
9 202026
10 200923
11 202023
12 201119
13 202317
14 200817
15 201915
16 201715
17 200714
18 201813
19 201512
20 200612

About Sojin An

Sojin An is a scholar working on Molecular Biology, Surgery, Biochemistry, Cancer Research and Plant Science, having authored 26 papers that have together received 683 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Genomics and Chromatin Dynamics (5 papers), Cholesterol and Lipid Metabolism (5 papers), Lipid metabolism and biosynthesis (4 papers), Cancer, Lipids, and Metabolism (3 papers), Epigenetics and DNA Methylation (3 papers), Chromosomal and Genetic Variations (3 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). The work is most often cited by research in Biochemistry (83 citations), Toxicology (31 citations), Molecular Biology (497 citations), Cancer Research (58 citations) and Cell Biology (59 citations). Sojin An has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Uhn‐Soo Cho, Ji‐Joon Song, Tae‐Sook Jeong, Kwon Joo Yeo, Young Ho Jeon, Hanseong Kim, Young‐Ki Paik, Woo Song Lee, Seung‐Hyun Ro and Jun Hee Lee. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Journal of Molecular Biology, eLife and Journal of the American Chemical Society.

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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