Dun Yang

1.8k citations
26 papers · 1.4k · h-index 12

Impact in

    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering
    • Advanced biosensing and bioanalysis techniques
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • MicroRNA in disease regulation

Papers in

    • Protein Degradation and Inhibitors 4
    • RNA Interference and Gene Delivery 3
    • Photosynthetic Processes and Mechanisms 3
    • Ubiquitin and proteasome pathways 2
    • Microtubule and mitosis dynamics 12

Dun Yang

26 papers receiving 1.4k citations

Peers

Dun Yang
Comparison fields: 5 of 90
  • Molecular Biology 1.1k
  • Cancer Research 189
  • Cell Biology 211
  • Oncology 304
  • Immunology and Allergy 35
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Dun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007266
2 2002249
3 2000194
4 2012156
5 2004144
6 2010140
7 2002116
8 202026
9 200417
10 202217
11
Functional analysis of Trichinella spiralis serine protease 1.2 by siRNA mediated RNA interference.
202013
12 202213
13 20219
14 20237
15 20236
16 20226
17 20216
18 20225
19 20234
20 20224

About Dun Yang

Dun Yang is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (12 papers), Cancer-related Molecular Pathways (10 papers), Protein Degradation and Inhibitors (4 papers), RNA Interference and Gene Delivery (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Cancer Genomics and Diagnostics (2 papers), Ubiquitin and proteasome pathways (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (189 citations), Cell Biology (211 citations), Oncology (304 citations) and Immunology and Allergy (35 citations). Dun Yang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include J. Michael Bishop, Andrei Goga, James Erickson, Hong Lü, Frank Buchholz, David O. Morgan, Aaron D. Tward, Alana L. Welm, Zhongdong Huang and Chih‐Ying Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACS Pharmacology & Translational Science, Diagnostic Pathology, Journal of Pharmaceutical and Biomedical Analysis and Journal of Natural Products.

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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