Dongyi Wan

641 citations
16 papers · 491 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis

Papers in

    • Epigenetics and DNA Methylation 2
    • FOXO transcription factor regulation 1
    • RNA Interference and Gene Delivery 1
    • Lymphatic System and Diseases 1

Dongyi Wan

16 papers receiving 489 citations

Peers

Dongyi Wan
Comparison fields: 5 of 63
  • Cancer Research 121
  • Oncology 139
  • Molecular Biology 271
  • Cell Biology 47
  • Reproductive Medicine 18
Replace Shao‐Lan Qin with:
Shao‐Lan Qin China
Alexander Hamm Germany
Miyuki Nomura Japan
Yuan Lin China
Leili Saeednejad Zanjani Iran
С. В. Айдагулова Russia
Zhuqing Zhou China
Yuexin Hu China
Lihua Ding China
Kangmei Chen China
Dongyi Wan relative to Shao‐Lan Qin China Shao‐Lan Qin's profile →
Citations per field
00.5×4.5×
Shao‐Lan Qin · 1×
Citations per year

Countries citing papers authored by Dongyi Wan

Since Specialization
Citations

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

Fields of papers citing papers by Dongyi Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201892
2 201784
3 201475
4 201454
5 201950
6 201631
7 201724
8 201722
9 201620
10 201418
11 20235
12 20235
13 20165
14 20213
15 20232
16 20231

About Dongyi Wan

Dongyi Wan is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Cell Biology, having authored 16 papers that have together received 491 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (2 papers), Cervical Cancer and HPV Research (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (1 paper), FOXO transcription factor regulation (1 paper), Pediatric Urology and Nephrology Studies (1 paper), Lymphatic System and Diseases (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Cancer Research (121 citations), Oncology (139 citations), Molecular Biology (271 citations), Cell Biology (47 citations) and Reproductive Medicine (18 citations). Dongyi Wan has collaborated with scholars based in China. Frequent co-authors include Qinglei Gao, Ding Ma, Dan Liu, Bixin Xi, Xiaoxue Zhang, Mengchen Li, Canhui Cao, Jiahong Tan, Ji Wang and Li Li. Their work appears in journals such as Computational and Structural Biotechnology Journal, Biochemical and Biophysical Research Communications, Nature Communications, Frontiers in Cellular and Infection Microbiology and Journal of Hematology & 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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