Mao-Bin Meng
Impact in
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- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
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- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 5
- Lung Cancer Research Studies 3
- Inflammatory Biomarkers in Disease Prognosis 1
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Nicholas George Zaorsky (14 shared papers)Huan-Huan Wang (12 shared papers)Zhiyong Yuan (12 shared papers)Lu‐Jun Zhao (10 shared papers)Lei Deng (5 shared papers)Daniel Michael Trifiletti (2 shared papers)Chao Jiang (5 shared papers)Shankar Siva (2 shared papers)
- Journals
- Oncotarget (4 papers)OncoTargets and Therapy (3 papers)Radiotherapy and Oncology (2 papers)Cancer Letters (2 papers)Medical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Mao-Bin Meng
17 papers receiving 688 citations
Peers
Comparison fields: 5 of 64
- Oncology 197
- Cancer Research 101
- Hepatology 52
- Pulmonary and Respiratory Medicine 192
- Radiation 52
Countries citing papers authored by Mao-Bin Meng
This map shows the geographic impact of Mao-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 Mao-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 Mao-Bin Meng more than expected).
Fields of papers citing papers by Mao-Bin Meng
This network shows the impact of papers produced by Mao-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 Mao-Bin Meng. The network helps show where Mao-Bin Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Mao-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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 151 | |
| 2 | 2016 | 74 | |
| 3 | 2016 | 69 | |
| 4 | 2014 | 64 | |
| 5 | 2013 | 61 | |
| 6 | 2014 | 60 | |
| 7 | 2021 | 40 | |
| 8 | 2018 | 37 | |
| 9 | 2014 | 36 | |
| 10 | 2015 | 25 | |
| 11 | 2016 | 25 | |
| 12 | 2014 | 18 | |
| 13 | 2015 | 15 | |
| 14 | 2013 | 9 | |
| 15 | 2015 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 2025 | 1 | |
| 18 | 2026 | 0 |
About Mao-Bin Meng
Mao-Bin Meng is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Hepatology and Epidemiology, having authored 18 papers that have together received 695 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Research Studies (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Cell death mechanisms and regulation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Oncology (197 citations), Cancer Research (101 citations), Hepatology (52 citations), Pulmonary and Respiratory Medicine (192 citations) and Radiation (52 citations). Mao-Bin Meng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nicholas George Zaorsky, Huan-Huan Wang, Zhiyong Yuan, Lu‐Jun Zhao, Lei Deng, Daniel Michael Trifiletti, Chao Jiang, Shankar Siva, Eric J. Lehrer and Ping Wang. Their work appears in journals such as Oncotarget, OncoTargets and Therapy, Radiotherapy and Oncology, Cancer Letters and Medical 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.