Maosong Lin

608 citations
17 papers · 300 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 3
    • Cancer, Lipids, and Metabolism 2
    • Circular RNAs in diseases 3

Maosong Lin

17 papers receiving 292 citations

Peers

Maosong Lin
Comparison fields: 5 of 52
  • Cancer Research 142
  • Oncology 66
  • Molecular Biology 130
  • Surgery 48
  • Applied Microbiology and Biotechnology 2
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Citations per field
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Citations per year

Countries citing papers authored by Maosong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Maosong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201956
2
Aberrant expression of microRNAs in serum may identify individuals with pancreatic cancer.
201450
3 201938
4
Elevated serum level of carbohydrate antigen 19-9 in benign biliary stricture diseases can reduce its value as a tumor marker.
201433
5 201724
6 201317
7 201315
8
Induction of apoptosis in colorectal cancer cells by peroxisome proliferators-activated receptor gamma activation up-regulating PTEN and inhibiting PI3K activity.
200515
9 201012
10
Prognostic significance of Glasgow prognostic score in patients with stage II colorectal cancer.
201512
11 20128
12 20127
13 20155
14
Prognostic significance of preoperative platelet-lymphocyte ratio in a Chinese cohort patient with colorectal cancer.
20174
15 20102
16 20251
17
Evaluation of tumor metastasis-associated markers for molecular classification in patients with esophageal squamous cell carcinoma.
20151

About Maosong Lin

Maosong Lin is a scholar working on Cancer Research, Molecular Biology, Oncology, Surgery and Genetics, having authored 17 papers that have together received 300 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cancer, Lipids, and Metabolism (2 papers), Colorectal Cancer Surgical Treatments (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (142 citations), Oncology (66 citations), Molecular Biology (130 citations), Surgery (48 citations) and Applied Microbiology and Biotechnology (2 citations). Maosong Lin has collaborated with scholars based in China. Frequent co-authors include Junxing Huang, Hong Yu, Haihui Sheng, Weichang Chen, Hengjun Gao, Hongzhang Shen, Zhenyu Zhang, Yi Sun, Bin Yang and Jiayi Zhu. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, Cancer Management and Research, Cancer Biomarkers, Experimental and Therapeutic Medicine and Oncology Letters.

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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