Xiaochun Meng
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
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- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 12
- Colorectal Cancer Surgical Treatments 8
- Cancer Immunotherapy and Biomarkers 3
-
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Kangshun Zhu (5 shared papers)Xin Gao (4 shared papers)Zhenhui Li (3 shared papers)Peiyi Xie (11 shared papers)Wensou Huang (2 shared papers)Fei Xiong (5 shared papers)Wei Xia (4 shared papers)Rui Zhang (4 shared papers)
- Journals
- European Journal of Radiology (4 papers)European Radiology (3 papers)Medical Physics (2 papers)ACS Nano (2 papers)Annals of Oncology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaochun Meng
48 papers receiving 1.3k citations
Xiaochun Meng's Hit Papers
Peers
Comparison fields: 5 of 90
- Hepatology 215
- Radiology, Nuclear Medicine and Imaging 385
- Oncology 256
- Health Informatics 12
- Cancer Research 78
Countries citing papers authored by Xiaochun Meng
This map shows the geographic impact of Xiaochun 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 Xiaochun Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochun Meng more than expected).
Fields of papers citing papers by Xiaochun Meng
This network shows the impact of papers produced by Xiaochun 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 Xiaochun Meng. The network helps show where Xiaochun Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochun 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 135 | |
| 2 | 2018 | 120 | |
| 3 | A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study Hit paper breakdown → | 2022 | 116 |
| 4 | 2020 | 115 | |
| 5 | 2021 | 91 | |
| 6 | 2013 | 84 | |
| 7 | 2023 | 76 | |
| 8 | 2022 | 69 | |
| 9 | 2020 | 69 | |
| 10 | 2013 | 52 | |
| 11 | 2018 | 51 | |
| 12 | 2015 | 30 | |
| 13 | 2021 | 27 | |
| 14 | 2023 | 26 | |
| 15 | 2022 | 23 | |
| 16 | 2022 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2019 | 17 | |
| 19 | 2021 | 17 | |
| 20 | 2010 | 17 |
About Xiaochun Meng
Xiaochun Meng is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Genetics, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Inflammatory Bowel Disease (5 papers), Nanoplatforms for cancer theranostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Financial Risk and Volatility Modeling (3 papers), Immune cells in cancer (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Hepatology (215 citations), Radiology, Nuclear Medicine and Imaging (385 citations), Oncology (256 citations), Health Informatics (12 citations) and Cancer Research (78 citations). Xiaochun Meng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kangshun Zhu, Xin Gao, Zhenhui Li, Peiyi Xie, Wensou Huang, Fei Xiong, Wei Xia, Rui Zhang, Bin Zhou and Lisha Lai. Their work appears in journals such as European Journal of Radiology, European Radiology, Medical Physics, ACS Nano and Annals of 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.