Junmin Luo

735 citations
22 papers · 593 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

Junmin Luo

22 papers receiving 585 citations

Peers

Junmin Luo
Comparison fields: 5 of 79
  • Cancer Research 245
  • Immunology 150
  • Molecular Biology 370
  • Oncology 130
  • Immunology and Allergy 13
Replace Xuli Meng with:
Xuli Meng China
Dinoop Ravindran Menon United States
Hexiao Wang China
Zheng-Hao Piao South Korea
Xin Jing China
Gang Nan China
Suping Han China
Jing‐Yu Lang China
Jun-Ting Cheng China
Xiaofei Li China
Junmin Luo relative to Xuli Meng China Xuli Meng's profile →
Citations per field
00.5×10×20×30×
Xuli Meng · 1×
Citations per year

Countries citing papers authored by Junmin Luo

Since Specialization
Citations

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

Fields of papers citing papers by Junmin Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201265
3 201664
4 201556
5 201852
6 201847
7 201841
8 201732
9 201330
10 201922
11 200921
12 202017
13
Gab2 is a novel prognostic factor for colorectal cancer patients.
201517
14 201915
15 20246
16 20236
17 20125
18 20134
19 20092
20 20232

About Junmin Luo

Junmin Luo is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Epidemiology, having authored 22 papers that have together received 593 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (5 papers), MicroRNA in disease regulation (4 papers), Galectins and Cancer Biology (4 papers), Cancer-related molecular mechanisms research (4 papers), Peptidase Inhibition and Analysis (3 papers), Tuberculosis Research and Epidemiology (2 papers), Cancer Cells and Metastasis (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (245 citations), Immunology (150 citations), Molecular Biology (370 citations), Oncology (130 citations) and Immunology and Allergy (13 citations). Junmin Luo has collaborated with scholars based in China. Frequent co-authors include Jihong Feng, Chenbo Ding, Lin Xu, Ya Zhou, Zhenke Wen, Tao Ren, Weina Yu, Ying Li, Kunming Wen and Shanshan Li. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Biochemical and Biophysical Research Communications, Inflammation Research, Carcinogenesis and International Immunopharmacology.

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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