Hao Lu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Circular RNAs in diseases 8
- RNA Interference and Gene Delivery 3
- Immunology 13
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 6
- Co-authors
- Xuehao Wang (15 shared papers)Jian Gu (12 shared papers)Ling Lu (9 shared papers)Yunjie Lu (8 shared papers)Xuhao Ni (5 shared papers)Jie Zhao (2 shared papers)Keli L. Hippen (2 shared papers)Song Guo Zheng (1 shared paper)
- Journals
- International Immunopharmacology (6 papers)Annals of Translational Medicine (2 papers)Journal of Immunology Research (2 papers)Cell Death and Disease (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hao Lu
42 papers receiving 750 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 239
- Immunology 224
- Physiology 38
- Molecular Biology 329
- Oncology 114
Countries citing papers authored by Hao Lu
This map shows the geographic impact of Hao 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 Hao Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Lu more than expected).
Fields of papers citing papers by Hao Lu
This network shows the impact of papers produced by Hao 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 Hao Lu. The network helps show where Hao Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 163 | |
| 2 | 2021 | 91 | |
| 3 | 2018 | 43 | |
| 4 | 2015 | 36 | |
| 5 | 2017 | 35 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 26 | |
| 8 | 2017 | 25 | |
| 9 | 2019 | 22 | |
| 10 | 2018 | 22 | |
| 11 | 2015 | 21 | |
| 12 | 2020 | 21 | |
| 13 | 2014 | 19 | |
| 14 | 2016 | 19 | |
| 15 | 2021 | 17 | |
| 16 | 2024 | 14 | |
| 17 | 2019 | 12 | |
| 18 | 2008 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2021 | 10 |
About Hao Lu
Hao Lu is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Epidemiology, having authored 45 papers that have together received 753 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (7 papers), T-cell and B-cell Immunology (6 papers), Hematopoietic Stem Cell Transplantation (3 papers), RNA Interference and Gene Delivery (3 papers), Cancer-related molecular mechanisms research (3 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Cancer Research (239 citations), Immunology (224 citations), Physiology (38 citations), Molecular Biology (329 citations) and Oncology (114 citations). Hao Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xuehao Wang, Jian Gu, Ling Lu, Yunjie Lu, Xuhao Ni, Jie Zhao, Keli L. Hippen, Song Guo Zheng, Xiongxiong Pan and Liqiang Zhou. Their work appears in journals such as International Immunopharmacology, Annals of Translational Medicine, Journal of Immunology Research, Cell Death and Disease and Scientific 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.