Linlin Mao

442 citations
27 papers · 228 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Cancer-related Molecular Pathways

Papers in

    • Cancer-related Molecular Pathways 8
    • RNA modifications and cancer 3
    • Wnt/β-catenin signaling in development and cancer 2

Linlin Mao

26 papers receiving 228 citations

Peers

Linlin Mao
Comparison fields: 5 of 66
  • Cancer Research 62
  • Oncology 79
  • Molecular Biology 122
  • Health Informatics 2
  • Immunology 31
Replace Ling Gao with:
Ling Gao China
Ako Yokoi Japan
Hiroki Teraoku Japan
Atsutaka Masuda Japan
Subhasree Balakrishnan United States
Mara Mazzoni Italy
Liantao Guo China
Liran Zhou United States
Liwen Bao China
Kyunghee Burkitt United States
Linlin Mao relative to Ling Gao China Ling Gao's profile →
Citations per field
00.5×1.5×
Ling Gao · 1×
Citations per year

Countries citing papers authored by Linlin Mao

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202326
2 202125
3 201620
4 202117
5 201517
6 201217
7 202215
8 201314
9 201311
10 202110
11
p42.3 promotes cell proliferation and invasion in human Renal-Cell Carcinoma.
20148
12 20217
13 20156
14 20206
15 20245
16 20165
17 20204
18 20243
19 20223
20 20223

About Linlin Mao

Linlin Mao is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 27 papers that have together received 228 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Genetic factors in colorectal cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Nanoplatforms for cancer theranostics (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (62 citations), Oncology (79 citations), Molecular Biology (122 citations), Health Informatics (2 citations) and Immunology (31 citations). Linlin Mao has collaborated with scholars based in China. Frequent co-authors include Youyong Lu, Dong‐Sheng Pei, Wenmei Li, Jiantao Cui, Junnian Zheng, Wei Sun, Rui Xing, Xiaochun Bai, Shih‐Hsin Lu and Zhipeng Zou. Their work appears in journals such as Advanced Science, Tumor Biology, Frontiers in Endocrinology, International Journal of Surgery and Molecular Carcinogenesis.

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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