Minna Luo

1.1k citations
26 papers · 735 · h-index 12

Impact in

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

Papers in

    • Cancer Cells and Metastasis 7
    • Angiogenesis and VEGF in Cancer 2
    • Planarian Biology and Electrostimulation 1
    • Glycosylation and Glycoproteins Research 1

Minna Luo

26 papers receiving 731 citations

Peers

Minna Luo
Comparison fields: 5 of 74
  • Cancer Research 202
  • Oncology 284
  • Molecular Biology 412
  • Immunology 83
  • Applied Microbiology and Biotechnology 6
Replace Shangke Huang with:
Shangke Huang China
Rika Tsuchida Japan
Stephanie Cabarcas‐Petroski United States
Justine Bellier Belgium
Man Chu China
Ira Kogan-Sakin Israel
Anna Gajos-Michniewicz Poland
Yun Hee Kang South Korea
Ursula Cesta Incani Malaysia
Silvia Peñuelas Spain
Minna Luo relative to Shangke Huang China Shangke Huang's profile →
Citations per field
00.5×1.5×2.0×
Shangke Huang · 1×
Citations per year

Countries citing papers authored by Minna Luo

Since Specialization
Citations

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

Fields of papers citing papers by Minna Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015180
2 2014137
3 2016127
4 202337
5 202035
6 201834
7 201726
8 201926
9 201426
10 201522
11 201915
12 201812
13 20219
14 20248
15 20227
16 20176
17 20186
18 20234
19 20213
20 20173

About Minna Luo

Minna Luo is a scholar working on Oncology, Molecular Biology, Cancer Research, Cell Biology and Surgery, having authored 26 papers that have together received 735 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Angiogenesis and VEGF in Cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Planarian Biology and Electrostimulation (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Cancer Research (202 citations), Oncology (284 citations), Molecular Biology (412 citations), Immunology (83 citations) and Applied Microbiology and Biotechnology (6 citations). Minna Luo has collaborated with scholars based in China and United States. Frequent co-authors include Shan Shao, Shangke Huang, Xinhan Zhao, Shanzhi Gu, Xiaoxiao Zuo, Xiaojin Zhang, Meng Du, Xinhan Zhao, Ying Wang and Caigang Liu. Their work appears in journals such as Oncotarget, Oncology Reports, Cancer Letters, Clinical Breast Cancer and The FASEB Journal.

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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