Yuan Cheng
Impact in
-
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Lung Cancer Treatments and Mutations
Papers in
-
- Lung Cancer Treatments and Mutations 5
- Photodynamic Therapy Research Studies 4
- Tracheal and airway disorders 2
- Lung Cancer Diagnosis and Treatment 2
- Oncology 8
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Guangfa Wang (14 shared papers)Ligong Nie (7 shared papers)Jing Ma (4 shared papers)He Wang (2 shared papers)Xi Wang (1 shared paper)Haichao Li (1 shared paper)Xinmin Liu (1 shared paper)Hong Zhang (1 shared paper)
- Journals
- Respiration (2 papers)BMC Pulmonary Medicine (2 papers)Translational Lung Cancer Research (2 papers)Frontiers in Immunology (2 papers)Neurology and Therapy (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuan Cheng
36 papers receiving 357 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 51
- Pulmonary and Respiratory Medicine 81
- Cancer Research 35
- Oncology 58
- Modeling and Simulation 9
Countries citing papers authored by Yuan Cheng
This map shows the geographic impact of Yuan Cheng'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 Yuan Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Cheng more than expected).
Fields of papers citing papers by Yuan Cheng
This network shows the impact of papers produced by Yuan Cheng. 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 Yuan Cheng. The network helps show where Yuan Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuan Cheng, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 56 | |
| 2 | 2023 | 48 | |
| 3 | 2021 | 30 | |
| 4 | 2016 | 21 | |
| 5 | 2023 | 14 | |
| 6 | 2021 | 14 | |
| 7 | 2010 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2017 | 8 | |
| 19 | 2005 | 7 | |
| 20 | 2018 | 7 |
About Yuan Cheng
Yuan Cheng is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Neurology, Cancer Research and Molecular Biology, having authored 40 papers that have together received 362 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Treatments and Mutations (5 papers), Photodynamic Therapy Research Studies (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Nanoplatforms for cancer theranostics (2 papers), Tracheal and airway disorders (2 papers), Cancer-related molecular mechanisms research (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Infectious Diseases (51 citations), Pulmonary and Respiratory Medicine (81 citations), Cancer Research (35 citations), Oncology (58 citations) and Modeling and Simulation (9 citations). Yuan Cheng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guangfa Wang, Ligong Nie, Jing Ma, He Wang, Xi Wang, Haichao Li, Xinmin Liu, Hong Zhang, Feng Wang and Hong Zhang. Their work appears in journals such as Respiration, BMC Pulmonary Medicine, Translational Lung Cancer Research, Frontiers in Immunology and Neurology and Therapy.
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.