Meng Lv
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Hematology 63
- Hematopoietic Stem Cell Transplantation 50
- Acute Myeloid Leukemia Research 22
- Platelet Disorders and Treatments 7
- Immunology 43
- Immune Cell Function and Interaction 24
- Immune cells in cancer 10
- T-cell and B-cell Immunology 8
- Co-authors
- Xiao‐Jun Huang (64 shared papers)Dapeng Li (3 shared papers)Bo Huang (3 shared papers)Ying‐Jun Chang (29 shared papers)Lan‐Ping Xu (41 shared papers)Xiao‐Dong Mo (30 shared papers)Yi Zhang (2 shared papers)Xiaohui Zhang (37 shared papers)
- Journals
- Blood (8 papers)British Journal of Haematology (5 papers)Bone Marrow Transplantation (5 papers)Annals of Hematology (4 papers)Science China Life Sciences (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Meng Lv
126 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 130
- Hematology 626
- Immunology 797
- Cancer Research 530
- Biological Psychiatry 68
- Genetics 223
Countries citing papers authored by Meng Lv
This map shows the geographic impact of Meng Lv'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 Meng Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Lv more than expected).
Fields of papers citing papers by Meng Lv
This network shows the impact of papers produced by Meng Lv. 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 Meng Lv. The network helps show where Meng Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Lv, 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 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 398 | |
| 2 | 2011 | 149 | |
| 3 | 2010 | 145 | |
| 4 | 2013 | 135 | |
| 5 | 2012 | 112 | |
| 6 | 2008 | 94 | |
| 7 | 2019 | 88 | |
| 8 | 2021 | 67 | |
| 9 | 2014 | 66 | |
| 10 | 2015 | 62 | |
| 11 | 2014 | 58 | |
| 12 | 2012 | 46 | |
| 13 | 2012 | 46 | |
| 14 | 2016 | 39 | |
| 15 | 2017 | 39 | |
| 16 | 2020 | 38 | |
| 17 | 2019 | 37 | |
| 18 | 2022 | 35 | |
| 19 | 2022 | 34 | |
| 20 | 2019 | 31 |
About Meng Lv
Meng Lv is a scholar working on Hematology, Immunology, Molecular Biology, Epidemiology and Oncology, having authored 145 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (50 papers), Immune Cell Function and Interaction (24 papers), Acute Myeloid Leukemia Research (22 papers), Acute Lymphoblastic Leukemia research (14 papers), Immune cells in cancer (10 papers), Cytomegalovirus and herpesvirus research (9 papers), T-cell and B-cell Immunology (8 papers) and Platelet Disorders and Treatments (7 papers). The work is most often cited by research in Hematology (626 citations), Immunology (797 citations), Cancer Research (530 citations), Biological Psychiatry (68 citations) and Genetics (223 citations). Meng Lv has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiao‐Jun Huang, Dapeng Li, Bo Huang, Ying‐Jun Chang, Lan‐Ping Xu, Xiao‐Dong Mo, Yi Zhang, Xiaohui Zhang, Jing Liu and Ke Wang. Their work appears in journals such as Blood, British Journal of Haematology, Bone Marrow Transplantation, Annals of Hematology and Science China Life Sciences.
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.