Deyang Li

457 citations
21 papers · 339 · h-index 12

Impact in

Papers in

    • Cancer Genomics and Diagnostics 2
    • Cancer-related molecular mechanisms research 2
    • Mitochondrial Function and Pathology 5
    • Signaling Pathways in Disease 2
    • RNA modifications and cancer 2

Deyang Li

20 papers receiving 338 citations

Peers

Deyang Li
Comparison fields: 5 of 64
  • Cancer Research 90
  • Clinical Biochemistry 23
  • Molecular Biology 187
  • Immunology 37
  • Oncology 42
Replace Siwen Dang with:
Siwen Dang China
Hiroyuki Sonegawa Japan
Xiaofei Cao China
Guang Peng China
R.C.K. Jordan Canada
Paulina Węgrzyn Poland
Sébastien P. Gendron Canada
Walter Wai Yeung China
Deyang Li relative to Siwen Dang China Siwen Dang's profile →
Citations per field
00.5×1.5×1.9×
Siwen Dang · 1×
Citations per year

Countries citing papers authored by Deyang Li

Since Specialization
Citations

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

Fields of papers citing papers by Deyang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201448
2 201943
3 201535
4 201825
5 201824
6 201421
7 202221
8 201220
9 202216
10 202315
11 201715
12 201415
13 201710
14 20198
15 20247
16 20226
17 20224
18 20224
19
A new gene for resistance to bacterial blight from Oryza rufipogon
20031
20 20241

About Deyang Li

Deyang Li is a scholar working on Cancer Research, Molecular Biology, Immunology, Oncology and Biotechnology, having authored 21 papers that have together received 339 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related molecular mechanisms research (2 papers), Electronic and Structural Properties of Oxides (2 papers), Signaling Pathways in Disease (2 papers), RNA modifications and cancer (2 papers), interferon and immune responses (2 papers) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Cancer Research (90 citations), Clinical Biochemistry (23 citations), Molecular Biology (187 citations), Immunology (37 citations) and Oncology (42 citations). Deyang Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jinliang Xing, Xu Guo, Hushan Yang, Zhi‐Nan Chen, Chun Guang Yin, Jiaze An, Madhuri Koti, Yibing Chen, Fei Fei and Zhipei Zhang. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, EMBO Reports, Annals of Oncology, Lung Cancer and Frontiers in Oncology.

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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