Lingfei Wan

806 citations
8 papers · 122 · h-index 5

Impact in

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

Papers in

    • RNA modifications and cancer 2
    • Single-cell and spatial transcriptomics 1
    • Advanced biosensing and bioanalysis techniques 1
    • Cancer Genomics and Diagnostics 3
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 1

Lingfei Wan

8 papers receiving 122 citations

Peers

Lingfei Wan
Comparison fields: 5 of 37
  • Cancer Research 49
  • Oncology 41
  • Immunology 27
  • Molecular Biology 74
  • Geriatrics and Gerontology 4
Replace Li-dan Hao with:
Li-dan Hao China
Andoni Garitano-Trojaola Germany
Yunpeng Gao United States
Jiaoyu Ai China
Hongbin Mei China
Minghui Ge China
Assia Konsoulova Bulgaria
Gjendine Voss Sweden
Dhanya Kalathil India
Yuehong Yang Finland
Lingfei Wan relative to Li-dan Hao China Li-dan Hao's profile →
Citations per field
00.5×8.8×
Li-dan Hao · 1×
Citations per year

Countries citing papers authored by Lingfei Wan

Since Specialization
Citations

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

Fields of papers citing papers by Lingfei Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202365
2 201826
3 202510
4 20228
5 20228
6 20213
7 20231
8 20251

About Lingfei Wan

Lingfei Wan is a scholar working on Molecular Biology, Cancer Research, Oncology, Organic Chemistry and Surgery, having authored 8 papers that have together received 122 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (2 papers), Single-cell and spatial transcriptomics (1 paper), MicroRNA in disease regulation (1 paper), Graphene and Nanomaterials Applications (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (49 citations), Oncology (41 citations), Immunology (27 citations), Molecular Biology (74 citations) and Geriatrics and Gerontology (4 citations). Lingfei Wan has collaborated with scholars based in China and Mexico. Frequent co-authors include Xinlong Yan, Ge Chen, Hui Yang, Yunqiao Li, Cong Wang, Jinming Yu, Xiaohui Li, Bing Sun, Min Zhang and Xiaoling Zhang. Their work appears in journals such as Advanced Science, Science Advances, Bioorganic Chemistry, Frontiers in Molecular Biosciences 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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