Meng Chen
Impact in
- Gastroenterology top 10%
- Gastrointestinal Tumor Research and Treatment
-
- Cancer Genomics and Diagnostics
Papers in
-
- Lung Cancer Treatments and Mutations 3
- Lung Cancer Diagnosis and Treatment 2
- Surgery 6
- Co-authors
- David S. Shames (2 shared papers)Jean Marie Bruey (1 shared paper)Ian McCaffery (1 shared paper)Yung‐Jue Bang (1 shared paper)Stephen P. Hack (1 shared paper)Florian Lordick (1 shared paper)Dustin Smith (1 shared paper)See Phan (1 shared paper)
- Journals
- Medicine (2 papers)ACS Biomaterials Science & Engineering (1 paper)Nutrition & Metabolism (1 paper)BMC Nursing (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Meng Chen
35 papers receiving 692 citations
Peers
Comparison fields: 5 of 103
- Gastroenterology 60
- Cancer Research 158
- Biological Psychiatry 26
- Pulmonary and Respiratory Medicine 311
- Oncology 245
Countries citing papers authored by Meng Chen
This map shows the geographic impact of Meng Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Chen more than expected).
Fields of papers citing papers by Meng Chen
This network shows the impact of papers produced by Meng Chen. 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 Chen. The network helps show where Meng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Chen, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 219 | |
| 2 | 2016 | 209 | |
| 3 | 2017 | 50 | |
| 4 | 2016 | 41 | |
| 5 | 2021 | 30 | |
| 6 | 2017 | 27 | |
| 7 | 2020 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2023 | 7 | |
| 13 | [Development of a Predictive Model for Adverse Outcomes of Preeclampsia]. | 2018 | 7 |
| 14 | 2020 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2011 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2020 | 3 |
About Meng Chen
Meng Chen is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 705 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Nanoplatforms for cancer theranostics (2 papers), Erythropoietin and Anemia Treatment (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Gastroenterology (60 citations), Cancer Research (158 citations), Biological Psychiatry (26 citations), Pulmonary and Respiratory Medicine (311 citations) and Oncology (245 citations). Meng Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David S. Shames, Jean Marie Bruey, Ian McCaffery, Yung‐Jue Bang, Stephen P. Hack, Florian Lordick, Dustin Smith, See Phan, Manish A. Shah and David Cunningham. Their work appears in journals such as Medicine, ACS Biomaterials Science & Engineering, Nutrition & Metabolism, BMC Nursing and Nature Communications.
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.