Wei Luan

1.1k citations
20 papers · 314 · h-index 8

Impact in

    • Cancer Genomics and Diagnostics
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Pancreatic and Hepatic Oncology Research 2
    • Circular RNAs in diseases 2
    • Epigenetics and DNA Methylation 2

Wei Luan

18 papers receiving 309 citations

Peers

Wei Luan
Comparison fields: 5 of 49
  • Cancer Research 84
  • Oncology 127
  • Hepatology 21
  • Immunology 53
  • Molecular Biology 141
Replace Mara Persano with:
Mara Persano Italy
Fangfang Bu China
Mireia Vallespinós Spain
Marion Jacquin France
Xudong Chen China
Chenwi M. Ambe United States
Elena Menietti Switzerland
Charles Pallangyo Germany
Jianzhu Zhao China
Caroline Hego France
Wei Luan relative to Mara Persano Italy Mara Persano's profile →
Citations per field
00.5×12×
Mara Persano · 1×
Citations per year

Countries citing papers authored by Wei Luan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2021176
2 201533
3 202323
4 201616
5 201514
6 201613
7 202010
8 20228
9 20217
10 20243
11 20213
12 20222
13 20231
14
Molecular Difference of Nucleotide Sequence of Main Regions of Glycoprotein Gene of Rabies Virus in China
20001
15 20231
16 20251
17 20091
18 20121
19 20250
20 20240

About Wei Luan

Wei Luan is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Cancer Research, having authored 20 papers that have together received 314 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Hepatitis B Virus Studies (2 papers), Circular RNAs in diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Epigenetics and DNA Methylation (2 papers), Immunotherapy and Immune Responses (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cancer Research (84 citations), Oncology (127 citations), Hepatology (21 citations), Immunology (53 citations) and Molecular Biology (141 citations). Wei Luan has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Scott W. Lowe, Francisco M. Barriga, Linas Mažutis, Direna Alonso‐Curbelo, Richard P. Koche, Dana Pe’er, John E. Wilkinson, Geulah Livshits, Nilgun Tasdemir and Elham Azizi. Their work appears in journals such as Digestive and Liver Disease, Annals of Surgical Oncology, Blood, Frontiers in Oncology and Advanced Science.

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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