Bin Meng
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Lymphoma Diagnosis and Treatment 21
- Oncology 20
- Cancer Immunotherapy and Biomarkers 6
- Viral-associated cancers and disorders 4
- CAR-T cell therapy research 4
- Co-authors
- Huilai Zhang (21 shared papers)Lanfang Li (19 shared papers)Shiyong Zhou (18 shared papers)Lihua Qiu (18 shared papers)Xianhuo Wang (19 shared papers)Xiubao Ren (16 shared papers)C. Liu (2 shared papers)Lugui Qiu (3 shared papers)
- Journals
- British Journal of Haematology (3 papers)Hematological Oncology (3 papers)Frontiers in Oncology (3 papers)Oncotarget (3 papers)Blood (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Bin Meng
60 papers receiving 840 citations
Peers
Comparison fields: 5 of 69
- Oncology 253
- Cancer Research 114
- Pathology and Forensic Medicine 127
- Hepatology 44
- Immunology 113
Countries citing papers authored by Bin Meng
This map shows the geographic impact of Bin Meng'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 Bin Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Meng more than expected).
Fields of papers citing papers by Bin Meng
This network shows the impact of papers produced by Bin Meng. 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 Bin Meng. The network helps show where Bin Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Meng, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 74 | |
| 2 | 2016 | 53 | |
| 3 | 2020 | 51 | |
| 4 | 2022 | 46 | |
| 5 | 2022 | 41 | |
| 6 | 2006 | 40 | |
| 7 | 2010 | 36 | |
| 8 | 2020 | 35 | |
| 9 | 2019 | 27 | |
| 10 | 2023 | 24 | |
| 11 | 2017 | 23 | |
| 12 | 2008 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2013 | 21 | |
| 15 | 2016 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 2018 | 16 |
About Bin Meng
Bin Meng is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Molecular Biology and Genetics, having authored 62 papers that have together received 849 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Chronic Lymphocytic Leukemia Research (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Immune Cell Function and Interaction (5 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Viral-associated cancers and disorders (4 papers), CAR-T cell therapy research (4 papers) and Ovarian cancer diagnosis and treatment (3 papers). The work is most often cited by research in Oncology (253 citations), Cancer Research (114 citations), Pathology and Forensic Medicine (127 citations), Hepatology (44 citations) and Immunology (113 citations). Bin Meng has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Huilai Zhang, Lanfang Li, Shiyong Zhou, Lihua Qiu, Xianhuo Wang, Xiubao Ren, C. Liu, Lugui Qiu, Jiaojiao Guo and Yinghong Zhu. Their work appears in journals such as British Journal of Haematology, Hematological Oncology, Frontiers in Oncology, Oncotarget and Blood.
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.