Maode Lai

1.5k citations
36 papers · 1.2k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

    • RNA modifications and cancer 4
    • S100 Proteins and Annexins 3
    • TGF-β signaling in diseases 3
    • Cancer Cells and Metastasis 5

Maode Lai

34 papers receiving 1.2k citations

Peers

Maode Lai
Comparison fields: 5 of 101
  • Cancer Research 301
  • Oncology 286
  • Molecular Biology 688
  • Endocrinology, Diabetes and Metabolism 124
  • Geriatrics and Gerontology 27
Replace Frédéric R. Santer with:
Frédéric R. Santer Austria
Vishva M. Sharma United States
Noriyuki Inoue Japan
Komal Ramani United States
Denis Rousseau France
Yuka Sasaki Japan
Pepita Gimenez‐Bonafé Spain
Maode Lai relative to Frédéric R. Santer Austria Frédéric R. Santer's profile →
Citations per field
00.5×1.5×1.8×
Frédéric R. Santer · 1×
Citations per year

Countries citing papers authored by Maode Lai

Since Specialization
Citations

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

Fields of papers citing papers by Maode Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maode Lai, 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 Maode Lai Line = papers co-authored together Maode Lai 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 2007155
2 2016122
3 2016105
4 200787
5 201684
6 202170
7 201263
8 201060
9 201748
10 201646
11 201344
12 201943
13 201437
14 201535
15 201527
16 200723
17 201621
18 201520
19 201516
20 201912

About Maode Lai

Maode Lai is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (6 papers), Cancer Cells and Metastasis (5 papers), Genetic Associations and Epidemiology (4 papers), RNA modifications and cancer (4 papers), S100 Proteins and Annexins (3 papers), MicroRNA in disease regulation (3 papers), TGF-β signaling in diseases (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Cancer Research (301 citations), Oncology (286 citations), Molecular Biology (688 citations), Endocrinology, Diabetes and Metabolism (124 citations) and Geriatrics and Gerontology (27 citations). Maode Lai has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Wenjing Ruan, Fangying Xu, Hu Hu, Yanmin Xu, Limei Liu, Juanjuan Shan, Cheng Qian, Zhi Yang, Chungang Liu and Yimin Zhu. Their work appears in journals such as Scientific Reports, Cell Death and Disease, Hepatology, Journal of Cancer and Journal of Cellular and Molecular Medicine.

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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