Ying Lu
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
-
- CAR-T cell therapy research
Papers in
- Hematology 29
- Acute Myeloid Leukemia Research 24
- Hematopoietic Stem Cell Transplantation 7
- Chronic Myeloid Leukemia Treatments 5
- Genetics 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Mohammed Kashani–Sabet (3 shared papers)Kevin J. Scanlon (3 shared papers)Endi Wang (3 shared papers)Qin Huang (3 shared papers)Wei Chen (2 shared papers)Zhilu Chen (1 shared paper)Qunyi Guo (1 shared paper)Ken H. Young (1 shared paper)
- Journals
- Annals of Hematology (4 papers)American Journal of Hematology (3 papers)Blood (3 papers)Bone Marrow Transplantation (3 papers)Leukemia Research (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ying Lu
59 papers receiving 703 citations
Peers
Comparison fields: 5 of 75
- Hematology 179
- Oncology 243
- Genetics 51
- Immunology 90
- Cancer Research 56
Countries citing papers authored by Ying Lu
This map shows the geographic impact of Ying 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 Ying Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Lu more than expected).
Fields of papers citing papers by Ying Lu
This network shows the impact of papers produced by Ying 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 Ying Lu. The network helps show where Ying Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 127 | |
| 2 | 2019 | 46 | |
| 3 | Detection of drug resistance in human tumors by in vitro enzymatic amplification. | 1988 | 39 |
| 4 | 1990 | 37 | |
| 5 | 2009 | 35 | |
| 6 | 2020 | 32 | |
| 7 | 2017 | 29 | |
| 8 | 1988 | 28 | |
| 9 | 2022 | 28 | |
| 10 | 2020 | 24 | |
| 11 | 2010 | 22 | |
| 12 | 2010 | 20 | |
| 13 | 2023 | 19 | |
| 14 | 2009 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2020 | 17 | |
| 17 | 2020 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2022 | 13 | |
| 20 | 2022 | 12 |
About Ying Lu
Ying Lu is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 65 papers that have together received 719 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Acute Lymphoblastic Leukemia research (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Hematology (179 citations), Oncology (243 citations), Genetics (51 citations), Immunology (90 citations) and Cancer Research (56 citations). Ying Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mohammed Kashani–Sabet, Kevin J. Scanlon, Endi Wang, Qin Huang, Wei Chen, Zhilu Chen, Qunyi Guo, Ken H. Young, Wen Tai Lei and Juying Wei. Their work appears in journals such as Annals of Hematology, American Journal of Hematology, Blood, Bone Marrow Transplantation and Leukemia Research.
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.