Hee Doo Yang

794 citations
18 papers · 607 indexed · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation
    • Histone Deacetylase Inhibitors Research
    • RNA Research and Splicing

Papers in

    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 5
    • Cancer, Lipids, and Metabolism 3
    • RNA modifications and cancer 5
    • Histone Deacetylase Inhibitors Research 4
    • RNA Research and Splicing 4
    • Circular RNAs in diseases 3
    • Cancer-related gene regulation 2

Hee Doo Yang

18 papers receiving 602 citations

Peers

Hee Doo Yang
Comparison fields: 5 of 71
  • Cancer Research 279
  • Molecular Biology 479
  • Oncology 80
  • Hepatology 22
  • Pathology and Forensic Medicine 43
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Citations per field
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Citations per year

Countries citing papers authored by Hee Doo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hee Doo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202321
2 202220
3 202213
4 202122
5 202016
6 201970
7 201816
8 201789
9 20176
10 201745
11 20172
12 201672
13 20161
14 201594
15 201584
16 20152
17 201423
18 201411

About Hee Doo Yang

Hee Doo Yang is a scholar working on Cancer Research, Molecular Biology, Hepatology, Pharmacology and Emergency Medicine, having authored 18 papers that have together received 607 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Histone Deacetylase Inhibitors Research (4 papers), RNA Research and Splicing (4 papers), Circular RNAs in diseases (3 papers), Cancer, Lipids, and Metabolism (3 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (279 citations), Molecular Biology (479 citations), Oncology (80 citations), Hepatology (22 citations) and Pathology and Forensic Medicine (43 citations). Hee Doo Yang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Suk Woo Nam, Won Sang Park, Hyung Seok Kim, Jung Woo Eun, Qingyu Shen, Jung Young Lee, Woo Chan Shin, Sang Yean Kim, Se Jin Park and Hyun Jin Bae. Their work appears in journals such as Experimental & Molecular Medicine, Oncotarget, Hepatology, Cancer Research and Journal of Hepatology.

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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