Xiaolu Lin

853 citations
33 papers · 450 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • RNA modifications and cancer
    • Circular RNAs in diseases

Papers in

Xiaolu Lin

23 papers receiving 444 citations

Peers

Xiaolu Lin
Comparison fields: 5 of 85
  • Cancer Research 131
  • Molecular Biology 233
  • Immunology 60
  • Oncology 67
  • Nutrition and Dietetics 31
Replace Linping Hu with:
Linping Hu China
Yan Chang China
Lai‐Fong Kok Taiwan
Huiling Zheng China
Tatsuo Yagyu Japan
Jinggang Mo China
Kiyokazu Inagaki Japan
Guangbing Wei China
Xiaoyan Gu China
Jiali Si United States
Xiaolu Lin relative to Linping Hu China Linping Hu's profile →
Citations per field
00.5×1.5×2.1×
Linping Hu · 1×
Citations per year

Countries citing papers authored by Xiaolu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201761
2 201858
3 202247
4 201643
5 201638
6 201937
7 201919
8 201819
9 201719
10 201917
11 201417
12 201915
13 202012
14 201712
15 202011
16 20235
17 20243
18 20243
19 20253
20 20243

About Xiaolu Lin

Xiaolu Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Epidemiology, having authored 33 papers that have together received 450 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cancer Cells and Metastasis (3 papers), Gastric Cancer Management and Outcomes (3 papers), Ferroptosis and cancer prognosis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Medical Imaging and Pathology Studies (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (131 citations), Molecular Biology (233 citations), Immunology (60 citations), Oncology (67 citations) and Nutrition and Dietetics (31 citations). Xiaolu Lin has collaborated with scholars based in China, Russia and Italy. Frequent co-authors include Zhi‐Zheng Ge, Yun–Jie Gao, Yang Li, Sengwang Fu, Chao‐Tao Tang, Haoyan Chen, Shan Wu, Wenfeng Lin, Qingwei Zhang and Qian Liang. Their work appears in journals such as Oncotarget, Gastrointestinal Endoscopy, Molecular Carcinogenesis, Frontiers in Microbiology and Cell Death Discovery.

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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