Yang Du

3.1k citations
37 papers · 879 · h-index 18

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery
    • Epigenetics and DNA Methylation

Papers in

    • RNA Interference and Gene Delivery 3
    • Cancer-related gene regulation 3
    • Acute Myeloid Leukemia Research 9
    • Hematopoietic Stem Cell Transplantation 5

Yang Du

35 papers receiving 865 citations

Peers

Yang Du
Comparison fields: 5 of 104
  • Hematology 149
  • Molecular Biology 473
  • Oncology 174
  • Genetics 178
  • Genetics 64
Replace Paul P. Tak with:
Paul P. Tak Netherlands
Chela James United Kingdom
Jeremy P. Springhorn United States
Simon Gebremeskel Canada
Anna Lena Illert Germany
Kathy Barrett United Kingdom
Tiziana Plati Italy
Kenneth Langlands United Kingdom
Marı́a J. Calzada Spain
Toshie Kanayasu‐Toyoda Japan
Yang Du relative to Paul P. Tak Netherlands Paul P. Tak's profile →
Citations per field
00.5×1.5×1.8×
Paul P. Tak · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005157
2 2017115
3 201455
4 201251
5 201649
6 201444
7 201636
8 201633
9 202031
10 201527
11 202026
12 200924
13 201124
14 201823
15 201621
16 202019
17 201819
18 201518
19 201917
20 200216

About Yang Du

Yang Du is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Genetics, having authored 37 papers that have together received 879 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Hematopoietic Stem Cell Transplantation (5 papers), Virus-based gene therapy research (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), RNA Interference and Gene Delivery (3 papers), Cancer-related gene regulation (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). The work is most often cited by research in Hematology (149 citations), Molecular Biology (473 citations), Oncology (174 citations), Genetics (178 citations) and Genetics (64 citations). Yang Du has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Nancy A. Jenkins, Neal G. Copeland, Meixiang Xiang, Jianan Wang, Mingyuan Huang, Sheng‐an Su, Kristbjorn O. Gudmundsson, Zhejun Cai, Wei Zhu and Kevin Oakley. Their work appears in journals such as Blood, Molecular Therapy, Oncotarget, PLoS ONE and iScience.

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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