Sun‐Young Han

1.9k citations
60 papers · 1.5k · h-index 24

Impact in

    • Cancer-related gene regulation
    • Wnt/β-catenin signaling in development and cancer
    • Epigenetics and DNA Methylation
    • Plant Reproductive Biology
    • Quinazolinone synthesis and applications
    • Synthesis and biological activity

Papers in

Sun‐Young Han

60 papers receiving 1.5k citations

Peers

Sun‐Young Han
Comparison fields: 5 of 92
  • Molecular Biology 866
  • Organic Chemistry 307
  • Toxicology 33
  • Plant Science 335
  • Cancer Research 129
Replace Kristin Brown with:
Kristin Brown United States
John P. Alao Sweden
Woo‐Young Kim South Korea
Donghwa Kim South Korea
Wooyoung Hur South Korea
ShangLi Zhang China
Zhifei Cao China
Ting Xie China
Jian Song China
Wenfu Tan China
Sun‐Young Han relative to Kristin Brown United States Kristin Brown's profile →
Citations per field
00.5×4.6×
Kristin Brown · 1×
Citations per year

Countries citing papers authored by Sun‐Young Han

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Young Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Young Han. 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 Sun‐Young Han. The network helps show where Sun‐Young Han may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 200497
3 201086
4 200483
5 200664
6 200155
7 200255
8 200451
9 200050
10 200246
11 200245
12 202243
13 200239
14 201235
15 201033
16 201333
17 202028
18 201428
19 200827
20 201327

About Sun‐Young Han

Sun‐Young Han is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Hematology and Plant Science, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quinazolinone synthesis and applications (11 papers), Chronic Myeloid Leukemia Treatments (10 papers), Acute Myeloid Leukemia Research (6 papers), Plant Molecular Biology Research (5 papers), Melanoma and MAPK Pathways (5 papers), Cancer Mechanisms and Therapy (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Plant nutrient uptake and metabolism (4 papers). The work is most often cited by research in Molecular Biology (866 citations), Organic Chemistry (307 citations), Toxicology (33 citations), Plant Science (335 citations) and Cancer Research (129 citations). Sun‐Young Han has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Lynn E. Heasley, Tadao Asami, Shigeo Yoshida, Young‐Won Chin, Katsuhiko Sekimata, Raphael A. Nemenoff, Yong‐Chul Kim, Jong‐Kook Lee, Neil Sidell and J. Alberto San Román. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Pharmaceuticals, European Journal of Medicinal Chemistry and Biomolecules & Therapeutics.

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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