Xiaolu Lin

903 citations
36 papers · 477 · h-index 13

Impact in

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

Papers in

Xiaolu Lin

26 papers receiving 471 citations

Peers

Xiaolu Lin
Comparison fields: 5 of 76
  • Cancer Research 105
  • Molecular Biology 202
  • Immunology 53
  • Nutrition and Dietetics 31
  • Biochemistry 12
Replace Tatsuo Yagyu with:
Tatsuo Yagyu Japan
Yuwei Chen China
H. M. C. Shantha Kumara United States
Fangzhou Song China
Kyu-Yeon Han United States
Yanhua Wen China
Yosuke Harazono Japan
Ce Luo China
Fuquan Chen China
Xiaolong Li China
Xiaolu Lin relative to Tatsuo Yagyu Japan Tatsuo Yagyu's profile →
Citations per field
00.5×8.9×
Tatsuo Yagyu · 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201763
2 201859
3 202250
4 201648
5 201638
6 201937
7 201921
8 201820
9 201719
10 201917
11 201417
12 201916
13 201713
14 202012
15 202011
16 20246
17 20255
18 20235
19 20245
20 20244

About Xiaolu Lin

Xiaolu Lin is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Oncology and Cancer Research, having authored 36 papers that have together received 477 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Gastric Cancer Management and Outcomes (3 papers), Metastasis and carcinoma case studies (3 papers), Medical Imaging and Pathology Studies (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Gastrointestinal disorders and treatments (2 papers) and Esophageal and GI Pathology (2 papers). The work is most often cited by research in Cancer Research (105 citations), Molecular Biology (202 citations), Immunology (53 citations), Nutrition and Dietetics (31 citations) and Biochemistry (12 citations). Xiaolu Lin has collaborated with scholars based in China, Russia and Hong Kong. Frequent co-authors include Zhi‐Zheng Ge, Yun–Jie Gao, Yang Li, Sengwang Fu, Chao‐Tao Tang, Haoyan Chen, Wenfeng Lin, Shan Wu, Chun Liu and Qian Liang. Their work appears in journals such as Oncotarget, Gastrointestinal Endoscopy, Molecular Carcinogenesis, Cell Death Discovery and Metabolism.

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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