Mei Ju
Impact in
- Dermatology top 5%
- Skin Protection and Aging
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Dermatology 10
- Dermatology and Skin Diseases 5
- Co-authors
- Heng Gu (9 shared papers)Mengli Zhang (5 shared papers)Kun Chen (4 shared papers)Min Li (4 shared papers)Song Xu (2 shared papers)Xu Chen (3 shared papers)Haibo Xiao (3 shared papers)Ju Huang (1 shared paper)
In The Last Decade
Mei Ju
29 papers receiving 432 citations
Peers
Comparison fields: 5 of 87
- Dermatology 91
- Cancer Research 102
- Aging 9
- Epidemiology 143
- Pulmonary and Respiratory Medicine 86
Countries citing papers authored by Mei Ju
This map shows the geographic impact of Mei Ju'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 Mei Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Ju more than expected).
Fields of papers citing papers by Mei Ju
This network shows the impact of papers produced by Mei Ju. 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 Mei Ju. The network helps show where Mei Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei Ju, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 93 | |
| 2 | 2016 | 93 | |
| 3 | miR-106a promotes growth and metastasis of non-small cell lung cancer by targeting PTEN. | 2015 | 45 |
| 4 | LncRNA HMlincRNA717 is down-regulated in non-small cell lung cancer and associated with poor prognosis. | 2014 | 34 |
| 5 | 2020 | 27 | |
| 6 | 2018 | 18 | |
| 7 | 2017 | 17 | |
| 8 | 2009 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 2019 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2013 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2017 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2025 | 3 | |
| 20 | [Cell transplantation of 5-aza cytidine induced bone marrow stromal cells transfected by angiogenin gene ex vivo into infarcted myocardium, an experimental study]. | 2002 | 3 |
About Mei Ju
Mei Ju is a scholar working on Molecular Biology, Dermatology, Immunology, Epidemiology and Cell Biology, having authored 37 papers that have together received 435 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (6 papers), Dermatology and Skin Diseases (5 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Allergic Rhinitis and Sensitization (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Photodynamic Therapy Research Studies (2 papers). The work is most often cited by research in Dermatology (91 citations), Cancer Research (102 citations), Aging (9 citations), Epidemiology (143 citations) and Pulmonary and Respiratory Medicine (86 citations). Mei Ju has collaborated with scholars based in China, Thailand and India. Frequent co-authors include Heng Gu, Mengli Zhang, Kun Chen, Min Li, Song Xu, Xu Chen, Haibo Xiao, Ju Huang, Xiao Xie and Dan Huang. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, BMJ Open, Drug Design Development and Therapy and Annals of Translational Medicine.
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.