Deding Tao

1.7k citations
69 papers · 1.3k · h-index 20

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Cell death mechanisms and regulation 9
    • Epigenetics and DNA Methylation 5
    • RNA Research and Splicing 4
    • Cancer-related Molecular Pathways 17
    • Cancer Cells and Metastasis 8

Deding Tao

68 papers receiving 1.3k citations

Peers

Deding Tao
Comparison fields: 5 of 113
  • Cancer Research 427
  • Oncology 394
  • Molecular Biology 795
  • Cell Biology 165
  • Immunology 144
Replace Ye Zhang with:
Ye Zhang China
Parthaprasad Chattopadhyay India
Sachiko Matsuhashi Japan
Talya L. Dayton United States
Kasturi Banerjee United States
Gongda Xue Switzerland
Maggie Yeo United Kingdom
Yun Peng China
Shuanglin Xiang China
Byung H. Jhun South Korea
Deding Tao relative to Ye Zhang China Ye Zhang's profile →
Citations per field
00.5×3.1×
Ye Zhang · 1×
Citations per year

Countries citing papers authored by Deding Tao

Since Specialization
Citations

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

Fields of papers citing papers by Deding Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015297
2 2018168
3 2009125
4
Therapeutic effectiveness of bacteriophages in the rescue of mice with extended spectrum beta-lactamase-producing Escherichia coli bacteremia.
200670
5 202043
6 202242
7 200440
8 200439
9 202036
10 201935
11 200434
12 200228
13 202028
14 201527
15 201523
16 201622
17 201622
18
[Correlations of GRIM-19 and its target gene product STAT3 to malignancy of human colorectal carcinoma]
200721
19 201120
20 202220

About Deding Tao

Deding Tao is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Genetics, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (17 papers), Cell death mechanisms and regulation (9 papers), Cancer Cells and Metastasis (8 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Cancer Research and Treatments (5 papers), Microtubule and mitosis dynamics (5 papers), Epigenetics and DNA Methylation (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (427 citations), Oncology (394 citations), Molecular Biology (795 citations), Cell Biology (165 citations) and Immunology (144 citations). Deding Tao has collaborated with scholars based in China, United States and India. Frequent co-authors include Xiaolan Li, Jichao Qin, Jianping Gong, Yibing Hu, Lei Mu, Kaiyu Huang, Yan Chang, Yaqun Wu, Junbo Hu and Daxing Xie. Their work appears in journals such as Oncotarget, Cell Death and Disease, Cytometry Part A, International Journal of Oncology and Oncology Reports.

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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