Ming‐De Yan

1.5k citations
27 papers · 1.3k · h-index 21

Impact in

    • Seaweed-derived Bioactive Compounds
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Seaweed-derived Bioactive Compounds 5
    • Epigenetics and DNA Methylation 6
    • Wnt/β-catenin signaling in development and cancer 4

Ming‐De Yan

27 papers receiving 1.3k citations

Peers

Ming‐De Yan
Comparison fields: 5 of 71
  • Aquatic Science 209
  • Cancer Research 261
  • Molecular Biology 506
  • Hepatology 57
  • Oncology 121
Replace Pei-Chun Shen with:
Pei-Chun Shen Taiwan
Xiaobo Guo China
Sachiko Ogasawara Japan
Jung Lim Kim South Korea
Juanjuan Xiao China
Yoo Jin Na South Korea
Sreedevi Avasarala United States
Xiaoming Xu China
Dongming Su China
Chenghao Shao China
Ming‐De Yan relative to Pei-Chun Shen Taiwan Pei-Chun Shen's profile →
Citations per field
00.5×2×4×6.1×
Pei-Chun Shen · 1×
Citations per year

Countries citing papers authored by Ming‐De Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐De Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐De Yan. 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 Ming‐De Yan. The network helps show where Ming‐De Yan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008131
2 2013116
3 2015104
4 201285
5 200778
6 200577
7 201662
8 201661
9 200855
10 201354
11 201353
12 201350
13 201643
14 200841
15 201233
16 199931
17 201329
18 201929
19 201527
20 201326

About Ming‐De Yan

Ming‐De Yan is a scholar working on Aquatic Science, Molecular Biology, Toxicology, Hepatology and Cancer Research, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Seaweed-derived Bioactive Compounds (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Bioactive Compounds and Antitumor Agents (2 papers), Cancer-related Molecular Pathways (2 papers), MicroRNA in disease regulation (2 papers), Prostate Cancer Treatment and Research (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Aquatic Science (209 citations), Cancer Research (261 citations), Molecular Biology (506 citations), Hepatology (57 citations) and Oncology (121 citations). Ming‐De Yan has collaborated with scholars based in Taiwan and Vietnam. Frequent co-authors include Ya‐Wen Lin, Yu‐Lueng Shih, Gi‐Ming Lai, Shuang‐En Chuang, Hung‐Cheng Lai, Pai‐An Hwang, Pei‐Ning Yu, Chih‐Jung Yao, Wen‐Chi Lin and Ann‐Lii Cheng. Their work appears in journals such as Gynecologic Oncology, International Journal of Cancer, Marine Drugs, Journal of Cancer and Clinical Epigenetics.

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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