Man Lu
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
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- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
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- Peripheral Nerve Disorders 3
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Jack U. Flanagan (1 shared paper)Ries J. Langley (2 shared papers)Jo K. Perry (2 shared papers)Michael P. Hay (1 shared paper)Chuanshi He (3 shared papers)Xueqing Cheng (4 shared papers)Jia‐Mi Li (3 shared papers)Han Li (1 shared paper)
- Journals
- Signal Transduction and Targeted Therapy (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Molecular Neurobiology (1 paper)Stem Cell Research & Therapy (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Man Lu
25 papers receiving 338 citations
Peers
Comparison fields: 5 of 77
- Endocrinology, Diabetes and Metabolism 70
- Cancer Research 43
- Toxicology 10
- Orthopedics and Sports Medicine 15
- Radiology, Nuclear Medicine and Imaging 38
Countries citing papers authored by Man Lu
This map shows the geographic impact of Man Lu'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 Man Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man Lu more than expected).
Fields of papers citing papers by Man Lu
This network shows the impact of papers produced by Man Lu. 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 Man Lu. The network helps show where Man Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Man Lu, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 109 | |
| 2 | 2015 | 39 | |
| 3 | 2023 | 23 | |
| 4 | 2017 | 23 | |
| 5 | 2023 | 21 | |
| 6 | 2018 | 19 | |
| 7 | 2017 | 19 | |
| 8 | 2022 | 17 | |
| 9 | 2018 | 14 | |
| 10 | 2017 | 11 | |
| 11 | 2022 | 8 | |
| 12 | [miR-141-3p regulates the expression of androgen receptor by targeting its 3'UTR in prostate cancer LNCaP cells]. | 2015 | 7 |
| 13 | 2019 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2014 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2021 | 2 | |
| 20 | [Expression and clinical significance of serum high-mobility group protein box 1 in children with Henoch-Schönlein purpura]. | 2015 | 2 |
About Man Lu
Man Lu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Biomedical Engineering, having authored 30 papers that have together received 340 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (3 papers), Peripheral Nerve Disorders (3 papers), Nausea and vomiting management (2 papers), Tendon Structure and Treatment (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (70 citations), Cancer Research (43 citations), Toxicology (10 citations), Orthopedics and Sports Medicine (15 citations) and Radiology, Nuclear Medicine and Imaging (38 citations). Man Lu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Jack U. Flanagan, Ries J. Langley, Jo K. Perry, Michael P. Hay, Chuanshi He, Xueqing Cheng, Jia‐Mi Li, Han Li, Xiangyü Li and Zhen Xu. Their work appears in journals such as Signal Transduction and Targeted Therapy, IEEE Transactions on Biomedical Engineering, Molecular Neurobiology, Stem Cell Research & Therapy and 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.