Yang Du

1.5k citations
33 papers · 1.2k · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • Bone Metabolism and Diseases
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Wnt/β-catenin signaling in development and cancer

Papers in

    • Bone Metabolism and Diseases 5
    • RNA modifications and cancer 3
    • Retinoids in leukemia and cellular processes 2
    • Cancer-related molecular mechanisms research 4

Yang Du

33 papers receiving 1.2k citations

Peers

Yang Du
Comparison fields: 5 of 84
  • Cancer Research 187
  • Molecular Biology 734
  • Immunology 172
  • Hematology 79
  • Orthopedics and Sports Medicine 57
Replace Katsumi Eguchi with:
Katsumi Eguchi Japan
Lívius Wunderlich Hungary
Hildegard Keppeler Germany
Virginie Millet France
Szandor Simmons Germany
Miho Shiokawa Japan
Gabriel Criado Spain
Qing Xi China
Alireza Rezaiemanesh Iran
Massimo Sabatini France
Yang Du relative to Katsumi Eguchi Japan Katsumi Eguchi's profile →
Citations per field
00.5×
Katsumi Eguchi · 1×
Citations per year

Countries citing papers authored by Yang Du

Since Specialization
Citations

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

Fields of papers citing papers by Yang Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014216
2 2011156
3 2005116
4 2005104
5 2018102
6 202087
7 199862
8 201948
9 201243
10 201141
11 201834
12 201224
13 201921
14 201917
15 201913
16 200013
17 201713
18 202112
19 201712
20 201911

About Yang Du

Yang Du is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Nutrition and Dietetics, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Cancer-related molecular mechanisms research (4 papers), Immune Response and Inflammation (3 papers), RNA modifications and cancer (3 papers), Fatty Acid Research and Health (2 papers), Retinoids in leukemia and cellular processes (2 papers), Infant Nutrition and Health (2 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Cancer Research (187 citations), Molecular Biology (734 citations), Immunology (172 citations), Hematology (79 citations) and Orthopedics and Sports Medicine (57 citations). Yang Du has collaborated with scholars based in China and United States. Frequent co-authors include Yihong Wan, Marie Yang, Wei Wei, Zixue Jin, Xiuheng Liu, Simon C. Williams, Sharon Wu, Houda Alachkar, Neal G. Copeland and Sally E. Spence. Their work appears in journals such as Journal of Cancer, Journal of Biological Chemistry, Molecular and Cellular Biology, Nature Communications and Frontiers in Cellular and Infection Microbiology.

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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