Junmin Luo
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Immune cells in cancer
Papers in
-
- MicroRNA in disease regulation 3
- Oncology 4
- Cancer Cells and Metastasis 2
- Co-authors
- Jihong Feng (9 shared papers)Chenbo Ding (6 shared papers)Lin Xu (5 shared papers)Zhenke Wen (4 shared papers)Ya Zhou (4 shared papers)Tao Ren (2 shared papers)Weina Yu (2 shared papers)Ying Li (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Journal of Cellular and Molecular Medicine (1 paper)Carcinogenesis (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- China
In The Last Decade
Junmin Luo
26 papers receiving 674 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 125
- Immunology 58
- Oncology 53
- Molecular Biology 93
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Junmin Luo
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
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.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 92 | |
| 2 | 2020 | 68 | |
| 3 | 2012 | 67 | |
| 4 | 2016 | 62 | |
| 5 | 2015 | 60 | |
| 6 | 2018 | 59 | |
| 7 | 2018 | 50 | |
| 8 | 2018 | 45 | |
| 9 | 2017 | 35 | |
| 10 | 2013 | 31 | |
| 11 | 2019 | 28 | |
| 12 | 2009 | 21 | |
| 13 | Gab2 is a novel prognostic factor for colorectal cancer patients. | 2015 | 18 |
| 14 | 2019 | 15 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2012 | 5 | |
| 18 | 2013 | 4 | |
| 19 | 2023 | 4 | |
| 20 | Research on Reasoning on Ontology in Semantic Web | 2007 | 2 |
About Junmin Luo
Junmin Luo is a scholar working on Cancer Research, Oncology, Immunology, Infectious Diseases and Information Systems, having authored 28 papers that have together received 688 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Tuberculosis Research and Epidemiology (3 papers), Cancer Cells and Metastasis (2 papers), T-cell and B-cell Immunology (2 papers), Antimicrobial Peptides and Activities (1 paper), Cloud Computing and Resource Management (1 paper), Protein Tyrosine Phosphatases (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Cancer Research (125 citations), Immunology (58 citations), Oncology (53 citations), Molecular Biology (93 citations) and Computer Vision and Pattern Recognition (36 citations). Junmin Luo has collaborated with scholars based in China. Frequent co-authors include Jihong Feng, Chenbo Ding, Lin Xu, Zhenke Wen, Ya Zhou, Tao Ren, Weina Yu, Ying Li, Kunming Wen and Longmei Li. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Experimental & Clinical Cancer Research, Journal of Cellular and Molecular Medicine, Carcinogenesis and Molecular Biology of the Cell.
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.