Jun Lu
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- CAR-T cell therapy research
Papers in
- Hematology 34
- Acute Myeloid Leukemia Research 19
- Hematopoietic Stem Cell Transplantation 12
- Multiple Myeloma Research and Treatments 2
- Oncology 13
- CAR-T cell therapy research 8
- Co-authors
- Pei-Fang Xiao (27 shared papers)Shaoyan Hu (19 shared papers)Yuping Wang (3 shared papers)Xing Feng (6 shared papers)Yanfang Tao (7 shared papers)Jian Pan (9 shared papers)Lihua Hu (2 shared papers)Jing Feng (2 shared papers)
- Journals
- Blood (4 papers)Cancer Cell International (4 papers)International Journal of Molecular Sciences (3 papers)International Journal of Hematology (3 papers)Journal of Pediatric Hematology/Oncology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Lu
70 papers receiving 889 citations
Peers
Comparison fields: 5 of 64
- Hematology 154
- Oncology 170
- Cancer Research 102
- Hepatology 37
- Molecular Biology 237
Countries citing papers authored by Jun Lu
This map shows the geographic impact of Jun 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 Jun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lu more than expected).
Fields of papers citing papers by Jun Lu
This network shows the impact of papers produced by Jun 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 Jun Lu. The network helps show where Jun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 85 | |
| 2 | 2012 | 44 | |
| 3 | 2010 | 42 | |
| 4 | 2013 | 38 | |
| 5 | 2017 | 37 | |
| 6 | 2014 | 36 | |
| 7 | 2017 | 35 | |
| 8 | 2017 | 32 | |
| 9 | 2016 | 30 | |
| 10 | 2015 | 27 | |
| 11 | 2008 | 26 | |
| 12 | 2012 | 26 | |
| 13 | 2015 | 25 | |
| 14 | 2014 | 23 | |
| 15 | 2015 | 23 | |
| 16 | 2013 | 22 | |
| 17 | 2016 | 21 | |
| 18 | 2015 | 19 | |
| 19 | 2013 | 18 | |
| 20 | 2015 | 18 |
About Jun Lu
Jun Lu is a scholar working on Hematology, Oncology, Public Health, Environmental and Occupational Health, Molecular Biology and Epidemiology, having authored 74 papers that have together received 910 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (13 papers), Hematopoietic Stem Cell Transplantation (12 papers), CAR-T cell therapy research (8 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (2 papers), Economic and Financial Impacts of Cancer (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (154 citations), Oncology (170 citations), Cancer Research (102 citations), Hepatology (37 citations) and Molecular Biology (237 citations). Jun Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Pei-Fang Xiao, Shaoyan Hu, Yuping Wang, Xing Feng, Yanfang Tao, Jian Pan, Lihua Hu, Jing Feng, Yanhong Li and Jie Luo. Their work appears in journals such as Blood, Cancer Cell International, International Journal of Molecular Sciences, International Journal of Hematology and Journal of Pediatric Hematology/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.