Daquan Meng
Impact in
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- Cancer Research and Treatments
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- Long-Term Effects of COVID-19
Papers in
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- Extracellular vesicles in disease 2
- Surgery 2
- Cholangiocarcinoma and Gallbladder Cancer Studies 2
- Co-authors
- Yang Jin (8 shared papers)Sufei Wang (5 shared papers)Xueyun Tan (4 shared papers)Xiaojuan Li (2 shared papers)Hui Xia (2 shared papers)Jian‐Bao Xin (3 shared papers)Yanling Ma (2 shared papers)Chunwei Shi (1 shared paper)
- Journals
- Investigational New Drugs (1 paper)BMC Medicine (1 paper)Signal Transduction and Targeted Therapy (1 paper)Respiratory Care (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Daquan Meng
12 papers receiving 355 citations
Daquan Meng's Hit Papers
Peers
Comparison fields: 5 of 64
- Biotechnology 40
- Neurology 48
- Oncology 80
- Pulmonary and Respiratory Medicine 92
- Critical Care and Intensive Care Medicine 9
Countries citing papers authored by Daquan Meng
This map shows the geographic impact of Daquan 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 Daquan Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daquan Meng more than expected).
Fields of papers citing papers by Daquan Meng
This network shows the impact of papers produced by Daquan 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 Daquan Meng. The network helps show where Daquan Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Daquan 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 | Intratumoural microbiota: a new frontier in cancer development and therapy Hit paper breakdown → | 2024 | 145 |
| 2 | 2013 | 109 | |
| 3 | 2021 | 37 | |
| 4 | 2021 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2014 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 5 | |
| 9 | 2013 | 5 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2020 | 1 |
About Daquan Meng
Daquan Meng is a scholar working on Molecular Biology, Surgery, Neurology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 359 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (2 papers), Lung Cancer Treatments and Mutations (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Extracellular vesicles in disease (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Immunotherapy and Immune Responses (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Biotechnology (40 citations), Neurology (48 citations), Oncology (80 citations), Pulmonary and Respiratory Medicine (92 citations) and Critical Care and Intensive Care Medicine (9 citations). Daquan Meng has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yang Jin, Sufei Wang, Xueyun Tan, Xiaojuan Li, Hui Xia, Jian‐Bao Xin, Yanling Ma, Chunwei Shi, Zhilei Lv and Mengmeng Zhou. Their work appears in journals such as Investigational New Drugs, BMC Medicine, Signal Transduction and Targeted Therapy, Respiratory Care and International Journal of Infectious Diseases.
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.