Miao Mo

3.5k citations
99 papers · 2.1k · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • Breast Cancer Treatment Studies
  • Oncology top 10%

Papers in

    • Breast Cancer Treatment Studies 22
    • Cancer-related molecular mechanisms research 8
    • Colorectal Cancer Screening and Detection 4
    • Global Cancer Incidence and Screening 4

Miao Mo

93 papers receiving 2.1k citations

Peers

Miao Mo
Comparison fields: 5 of 113
  • Cancer Research 444
  • Oncology 391
  • Pulmonary and Respiratory Medicine 362
  • Urology 60
  • Molecular Biology 587
Replace Mafalda Laranjo with:
Mafalda Laranjo Portugal
C.O. Granai United States
Jeanny B. Aragon‐Ching United States
Jinbo Chen China
Chris Tselepis United Kingdom
Yan Yan China
Cláudia Marchetti Italy
Kenichi Harada Japan
Satoshi Anai Japan
Ana Cristina Gonçalves Portugal
Miao Mo relative to Mafalda Laranjo Portugal Mafalda Laranjo's profile →
Citations per field
00.5×2×3.1×
Mafalda Laranjo · 1×
Citations per year

Countries citing papers authored by Miao Mo

Since Specialization
Citations

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

Fields of papers citing papers by Miao Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014223
2 2021184
3 2019182
4 2019109
5 201695
6 201670
7 202062
8 201850
9 201950
10 201549
11 202243
12 201940
13 202240
14 202336
15 201635
16 202433
17 201933
18 201533
19 202130
20 201930

About Miao Mo

Miao Mo is a scholar working on Cancer Research, Oncology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (22 papers), Cancer-related molecular mechanisms research (8 papers), Breast Implant and Reconstruction (8 papers), Ferroptosis and cancer prognosis (5 papers), Colorectal Cancer Screening and Detection (4 papers), Breast Lesions and Carcinomas (4 papers), Global Cancer Incidence and Screening (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Cancer Research (444 citations), Oncology (391 citations), Pulmonary and Respiratory Medicine (362 citations), Urology (60 citations) and Molecular Biology (587 citations). Miao Mo has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ying Zheng, Wanghong Xu, Jiong Wu, Yanfei Liu, Dongming Peng, Qunye He, Zhenbao Liu, Xiheng Hu, Yao Zhu and Hong Fang. Their work appears in journals such as Oncotarget, Frontiers in Oncology, Cancer Management and Research, OncoTargets and Therapy and PLoS ONE.

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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