Lu Hu
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Surgery 12
- Cholesterol and Lipid Metabolism 4
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- Epigenetics and DNA Methylation 2
- Co-authors
- Jingyuan Wan (2 shared papers)Jay P. Gore (1 shared paper)Lisa X. Xu (1 shared paper)Xu Wu (4 shared papers)Shan Huang (1 shared paper)Wanjun Xu (1 shared paper)Yike Huang (1 shared paper)Zhining Xia (1 shared paper)
- Journals
- IUBMB Life (2 papers)Journal of Molecular and Cellular Cardiology (1 paper)Nature Communications (1 paper)Frontiers in Immunology (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Lu Hu
29 papers receiving 624 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 129
- Molecular Medicine 29
- Cell Biology 94
- Molecular Biology 318
- Immunology 87
Countries citing papers authored by Lu Hu
This map shows the geographic impact of Lu Hu'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 Lu Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Hu more than expected).
Fields of papers citing papers by Lu Hu
This network shows the impact of papers produced by Lu Hu. 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 Lu Hu. The network helps show where Lu Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Hu, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 70 | |
| 2 | 2018 | 69 | |
| 3 | 2019 | 61 | |
| 4 | 2006 | 57 | |
| 5 | 2012 | 55 | |
| 6 | 2004 | 46 | |
| 7 | 2021 | 39 | |
| 8 | 2016 | 34 | |
| 9 | 2018 | 30 | |
| 10 | 2019 | 26 | |
| 11 | 2022 | 23 | |
| 12 | 2016 | 23 | |
| 13 | 2018 | 21 | |
| 14 | 2008 | 13 | |
| 15 | 2016 | 12 | |
| 16 | 2019 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2016 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2019 | 5 |
About Lu Hu
Lu Hu is a scholar working on Surgery, Molecular Biology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 632 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (4 papers), Cholesterol and Lipid Metabolism (4 papers), Cancer Research and Treatments (2 papers), Immune Cell Function and Interaction (2 papers), Vascular Procedures and Complications (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (129 citations), Molecular Medicine (29 citations), Cell Biology (94 citations), Molecular Biology (318 citations) and Immunology (87 citations). Lu Hu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jingyuan Wan, Jay P. Gore, Lisa X. Xu, Xu Wu, Shan Huang, Wanjun Xu, Yike Huang, Zhining Xia, Dandan Wang and Guocan Zheng. Their work appears in journals such as IUBMB Life, Journal of Molecular and Cellular Cardiology, Nature Communications, Frontiers in Immunology and Cell Reports.
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.