Suli Dai

640 citations
29 papers · 432 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Immune cells in cancer

Papers in

    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 3
    • Phytochemistry and Bioactive Compounds 5

Suli Dai

29 papers receiving 428 citations

Peers

Suli Dai
Comparison fields: 5 of 57
  • Cancer Research 142
  • Immunology 97
  • Molecular Biology 229
  • Biomaterials 42
  • Oncology 67
Replace Ching‐Wen Lin with:
Ching‐Wen Lin Taiwan
Marlies Cortés Spain
Koji Hanai Japan
Danhua Zhu China
Lile He China
Suan Sun China
Feizhou Jiang China
Maria Muccioli United States
Svenja Groeneveld Germany
Yong-Mei Yang China
Suli Dai relative to Ching‐Wen Lin Taiwan Ching‐Wen Lin's profile →
Citations per field
00.5×2×3.2×
Ching‐Wen Lin · 1×
Citations per year

Countries citing papers authored by Suli Dai

Since Specialization
Citations

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

Fields of papers citing papers by Suli Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202361
2 201554
3 201639
4 201931
5 202131
6 201824
7 201823
8 201922
9 202121
10 202017
11 201916
12 202212
13 202111
14 202110
15 202210
16 20208
17 20188
18 20237
19 20196
20 20215

About Suli Dai

Suli Dai is a scholar working on Cancer Research, Biomaterials, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 29 papers that have together received 432 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (7 papers), Phytochemistry and Bioactive Compounds (5 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (3 papers), Macrophage Migration Inhibitory Factor (2 papers), Cancer-related gene regulation (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (142 citations), Immunology (97 citations), Molecular Biology (229 citations), Biomaterials (42 citations) and Oncology (67 citations). Suli Dai has collaborated with scholars based in China, United States and France. Frequent co-authors include Lianmei Zhao, Baoen Shan, Sisi Wei, Xiaoya Li, Lianmei Zhao, Cong Zhang, Baoen Shan, Fujun Wang, Lei Li and Haixia Ding. Their work appears in journals such as Molecular Carcinogenesis, Frontiers in Oncology, Journal of Oncology, Biomedicine & Pharmacotherapy and Carcinogenesis.

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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