Hailing Lu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Ubiquitin and proteasome pathways 7
- RNA modifications and cancer 5
- 14-3-3 protein interactions 3
- Oncology 17
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Qingwei Meng (16 shared papers)Li Cai (17 shared papers)Yanbin Zhao (10 shared papers)Mengru Cao (7 shared papers)Jing Hu (10 shared papers)Xuesong Chen (8 shared papers)Xiaoqun Dong (5 shared papers)Hui Pang (5 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Scientific Reports (2 papers)Oncotarget (2 papers)JAMA Network Open (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Hailing Lu
33 papers receiving 889 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 285
- Oncology 286
- Molecular Biology 603
- Immunology 94
- Pulmonary and Respiratory Medicine 136
Countries citing papers authored by Hailing Lu
This map shows the geographic impact of Hailing 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 Hailing Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailing Lu more than expected).
Fields of papers citing papers by Hailing Lu
This network shows the impact of papers produced by Hailing 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 Hailing Lu. The network helps show where Hailing Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailing 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 101 | |
| 2 | 2013 | 64 | |
| 3 | 2018 | 63 | |
| 4 | 2018 | 62 | |
| 5 | 2015 | 58 | |
| 6 | 2014 | 57 | |
| 7 | 2018 | 49 | |
| 8 | 2013 | 49 | |
| 9 | 2015 | 41 | |
| 10 | 2019 | 38 | |
| 11 | Effects of transferrin conjugates of artemisinin and artemisinin dimer on breast cancer cell lines. | 2013 | 33 |
| 12 | 2015 | 33 | |
| 13 | 2014 | 29 | |
| 14 | 2018 | 27 | |
| 15 | 2021 | 23 | |
| 16 | 2019 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2019 | 19 | |
| 19 | 2020 | 18 | |
| 20 | 2016 | 15 |
About Hailing Lu
Hailing Lu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 35 papers that have together received 894 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), RNA modifications and cancer (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lymphoma Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (3 papers) and 14-3-3 protein interactions (3 papers). The work is most often cited by research in Cancer Research (285 citations), Oncology (286 citations), Molecular Biology (603 citations), Immunology (94 citations) and Pulmonary and Respiratory Medicine (136 citations). Hailing Lu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Qingwei Meng, Li Cai, Yanbin Zhao, Mengru Cao, Jing Hu, Xuesong Chen, Xiaoqun Dong, Hui Pang, Anna Bergamaschi and Benita S. Katzenellenbogen. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports, Oncotarget, JAMA Network Open and Journal of Thoracic Oncology.
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.