Lan Yang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Lung Cancer Diagnosis and Treatment 7
- Lung Cancer Treatments and Mutations 4
- Oncology 14
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Yufeng Zhou (2 shared papers)Jinrong Fu (2 shared papers)Xueru Xie (2 shared papers)Damo Xu (2 shared papers)Weimin Li (12 shared papers)Bojiang Chen (7 shared papers)Guangjin Tian (2 shared papers)Yuncui Gan (5 shared papers)
- Journals
- Computers and Electronics in Agriculture (3 papers)Medicine (2 papers)Annals of Translational Medicine (2 papers)Biomedicine & Pharmacotherapy (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lan Yang
74 papers receiving 2.0k citations
Lan Yang's Hit Papers
Peers
Comparison fields: 5 of 148
- Infectious Diseases 472
- Neurology 197
- Modeling and Simulation 65
- Oncology 265
- Immunology 169
Countries citing papers authored by Lan Yang
This map shows the geographic impact of Lan Yang'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 Lan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Yang more than expected).
Fields of papers citing papers by Lan Yang
This network shows the impact of papers produced by Lan Yang. 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 Lan Yang. The network helps show where Lan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Yang, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The signal pathways and treatment of cytokine storm in COVID-19 Hit paper breakdown → | 2021 | 415 |
| 2 | 2006 | 307 | |
| 3 | 2020 | 81 | |
| 4 | 2022 | 77 | |
| 5 | 2017 | 76 | |
| 6 | 2020 | 71 | |
| 7 | 2021 | 65 | |
| 8 | 2021 | 54 | |
| 9 | 2019 | 46 | |
| 10 | 2021 | 46 | |
| 11 | 2020 | 43 | |
| 12 | 2020 | 43 | |
| 13 | 2018 | 35 | |
| 14 | 2012 | 35 | |
| 15 | 2022 | 34 | |
| 16 | 2016 | 31 | |
| 17 | 2021 | 31 | |
| 18 | 2020 | 29 | |
| 19 | 2021 | 28 | |
| 20 | 2020 | 26 |
About Lan Yang
Lan Yang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Infectious Diseases and Surgery, having authored 80 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (7 papers), Remote Sensing and LiDAR Applications (5 papers), COVID-19 Clinical Research Studies (5 papers), Remote Sensing in Agriculture (5 papers), Lung Cancer Treatments and Mutations (4 papers), Pregnancy and preeclampsia studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Land Use and Ecosystem Services (3 papers). The work is most often cited by research in Infectious Diseases (472 citations), Neurology (197 citations), Modeling and Simulation (65 citations), Oncology (265 citations) and Immunology (169 citations). Lan Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yufeng Zhou, Jinrong Fu, Xueru Xie, Damo Xu, Weimin Li, Bojiang Chen, Guangjin Tian, Yuncui Gan, Weimin Li and Jing Jin. Their work appears in journals such as Computers and Electronics in Agriculture, Medicine, Annals of Translational Medicine, Biomedicine & Pharmacotherapy and PLoS ONE.
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.