Haimin Lu
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
Papers in
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
- Cancer Genomics and Diagnostics 3
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- RNA modifications and cancer 4
- Circular RNAs in diseases 3
- Cancer-related gene regulation 2
- Co-authors
- Jibin Liu (4 shared papers)Da Fu (3 shared papers)Likun Hou (3 shared papers)Jiang Geng (3 shared papers)Yu‐Shui Ma (3 shared papers)Wen Li (1 shared paper)Juan Li (1 shared paper)Xiaomei Tang (1 shared paper)
In The Last Decade
Haimin Lu
15 papers receiving 401 citations
Haimin Lu's Hit Papers
Peers
Comparison fields: 5 of 63
- Cancer Research 194
- Pulmonary and Respiratory Medicine 127
- Oncology 99
- Molecular Biology 223
- Radiology, Nuclear Medicine and Imaging 35
Countries citing papers authored by Haimin Lu
This map shows the geographic impact of Haimin 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 Haimin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haimin Lu more than expected).
Fields of papers citing papers by Haimin Lu
This network shows the impact of papers produced by Haimin 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 Haimin Lu. The network helps show where Haimin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haimin 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
| # | Work | ||
|---|---|---|---|
| 1 | Liquid biopsy in lung cancer: significance in diagnostics, prediction, and treatment monitoring Hit paper breakdown → | 2022 | 269 |
| 2 | 2021 | 31 | |
| 3 | 2021 | 23 | |
| 4 | 2022 | 15 | |
| 5 | 2018 | 13 | |
| 6 | 2011 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Haimin Lu
Haimin Lu is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 17 papers that have together received 402 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (3 papers), Circular RNAs in diseases (3 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (194 citations), Pulmonary and Respiratory Medicine (127 citations), Oncology (99 citations), Molecular Biology (223 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Haimin Lu has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Jibin Liu, Da Fu, Likun Hou, Jiang Geng, Yu‐Shui Ma, Wen Li, Juan Li, Xiaomei Tang, Chunyan Wu and Jie Zhang. Their work appears in journals such as Molecular Therapy — Oncolytics, British Journal of Cancer, Neuroscience, Contrast Media & Molecular Imaging and BMC Cancer.
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.