Daiwei Wan

1.0k citations
25 papers · 754 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Circular RNAs in diseases 7
    • RNA modifications and cancer 6
    • Wnt/β-catenin signaling in development and cancer 2
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 4

Daiwei Wan

25 papers receiving 752 citations

Peers

Daiwei Wan
Comparison fields: 5 of 72
  • Cancer Research 292
  • Oncology 187
  • Molecular Biology 424
  • Immunology 117
  • Toxicology 12
Replace Hongyan Zhang with:
Hongyan Zhang China
Leilei Niu China
Xin Jing China
Zehua Wang China
Damiano Conte Canada
Xibao Yu China
Xueqing Yao China
Sudhakar Ammanamanchi United States
Daiwei Wan relative to Hongyan Zhang China Hongyan Zhang's profile →
Citations per field
00.5×1.5×2×
Hongyan Zhang · 1×
Citations per year

Countries citing papers authored by Daiwei Wan

Since Specialization
Citations

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

Fields of papers citing papers by Daiwei Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011118
2 201975
3 201663
4 201455
5 201849
6 201643
7 201441
8 201340
9 201734
10 202033
11 201828
12 201427
13 201321
14 202119
15 201817
16 201416
17 202216
18 201914
19 201714
20 202410

About Daiwei Wan

Daiwei Wan is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Epidemiology, having authored 25 papers that have together received 754 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Cells and Metastasis (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (292 citations), Oncology (187 citations), Molecular Biology (424 citations), Immunology (117 citations) and Toxicology (12 citations). Daiwei Wan has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Qiaoming Zhi, Dingcheng Zheng, Songbing He, Dechun Li, Min Fei, Songbing He, Ye Han, Liang Wang, Yugang Wu and Zhihua Xu. Their work appears in journals such as Biomedicine & Pharmacotherapy, Frontiers in Oncology, Anti-Cancer Agents in Medicinal Chemistry, Molecular Cancer Therapeutics and Biochemical and Biophysical Research Communications.

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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