Lingmi Hou
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
Papers in
-
- S100 Proteins and Annexins 3
- RNA Interference and Gene Delivery 3
- Oncology 16
- Cancer Risks and Factors 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Shishan Deng (16 shared papers)Jun Jiang (8 shared papers)Maoshan Chen (8 shared papers)Zheng‐Wei Yang (2 shared papers)Minghao Wang (5 shared papers)Hongwei Yang (6 shared papers)Jiani Hu (5 shared papers)Xiaobo Zhao (5 shared papers)
- Journals
- Clinical & Translational Oncology (3 papers)Scientific Reports (3 papers)International Journal of Biological Macromolecules (3 papers)Frontiers in Oncology (3 papers)Nano Today (2 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Lingmi Hou
36 papers receiving 485 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 172
- Oncology 119
- Orthopedics and Sports Medicine 33
- Molecular Biology 252
- Immunology 56
Countries citing papers authored by Lingmi Hou
This map shows the geographic impact of Lingmi Hou'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 Lingmi Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingmi Hou more than expected).
Fields of papers citing papers by Lingmi Hou
This network shows the impact of papers produced by Lingmi Hou. 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 Lingmi Hou. The network helps show where Lingmi Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingmi Hou, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 62 | |
| 2 | 2019 | 42 | |
| 3 | 2017 | 41 | |
| 4 | 2016 | 33 | |
| 5 | 2022 | 29 | |
| 6 | 2016 | 25 | |
| 7 | 2012 | 25 | |
| 8 | 2023 | 22 | |
| 9 | 2016 | 22 | |
| 10 | 2019 | 19 | |
| 11 | 2024 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2024 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2016 | 12 | |
| 17 | 2016 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2021 | 7 |
About Lingmi Hou
Lingmi Hou is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 487 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (8 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Cancer Risks and Factors (4 papers), S100 Proteins and Annexins (3 papers), Cancer-related Molecular Pathways (3 papers), RNA Interference and Gene Delivery (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (172 citations), Oncology (119 citations), Orthopedics and Sports Medicine (33 citations), Molecular Biology (252 citations) and Immunology (56 citations). Lingmi Hou has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Shishan Deng, Jun Jiang, Maoshan Chen, Zheng‐Wei Yang, Minghao Wang, Hongwei Yang, Jiani Hu, Xiaobo Zhao, Xiao Ming Zhang and Jianguo Wang. Their work appears in journals such as Clinical & Translational Oncology, Scientific Reports, International Journal of Biological Macromolecules, Frontiers in Oncology and Nano Today.
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.