Lan Yang
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 5
- Neurology top 5%
- Modeling and Simulation top 5%
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 6
- Lung Cancer Research Studies 6
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- Lung Cancer Diagnosis and Treatment 9
- Lung Cancer Treatments and Mutations 7
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- Radiomics and Machine Learning in Medical Imaging 9
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- Remote Sensing in Agriculture 5
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- Remote Sensing and LiDAR Applications 5
- Journals
- Computers and Electronics in Agriculture (3 papers)European Journal of Pharmacology (2 papers)Biomedicine & Pharmacotherapy (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lan Yang
75 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Infectious Diseases 537
- Neurology 254
- Modeling and Simulation 68
- Oncology 312
- Immunology 190
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 31 | |
| 8 | 2022 | 73 | |
| 9 | 2021 | 31 | |
| 10 | 2021 | 5 | |
| 11 | The signal pathways and treatment of cytokine storm in COVID-19breakdown → | 2021 | 393 |
| 12 | 2021 | 1 | |
| 13 | 2021 | 7 | |
| 14 | 2019 | 19 | |
| 15 | 2018 | 4 | |
| 16 | 2018 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2017 | 22 | |
| 19 | 2016 | 8 | |
| 20 | 2005 | 16 |
About Lan Yang
Lan Yang is a scholar working on Oncology, Hepatology, Pulmonary and Respiratory Medicine, Infectious Diseases and Cancer Research, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Treatments and Mutations (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Research Studies (6 papers), Remote Sensing in Agriculture (5 papers), COVID-19 Clinical Research Studies (5 papers) and Remote Sensing and LiDAR Applications (5 papers). The work is most often cited by research in Infectious Diseases (537 citations), Neurology (254 citations), Modeling and Simulation (68 citations), Oncology (312 citations) and Immunology (190 citations). Lan Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Damo Xu, Yufeng Zhou, Xueru Xie, Jinrong Fu, 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, European Journal of Pharmacology, Biomedicine & Pharmacotherapy, Signal Transduction and Targeted Therapy and Annals of Translational Medicine.
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.