Lingyun Ye
Impact in
- Immunology top 10%
- interferon and immune responses
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Microbiology top 5%
- Bacterial Infections and Vaccines
Papers in
-
- Advanced Fiber Optic Sensors 13
- Electromagnetic Compatibility and Noise Suppression 6
- Epidemiology 17
- Co-authors
- Yayi He (11 shared papers)Sha Zhao (9 shared papers)Caicun Zhou (4 shared papers)Peixin Chen (4 shared papers)Bin Chen (2 shared papers)Lei Wang (2 shared papers)Yu Liu (1 shared paper)Minlin Jiang (1 shared paper)
- Journals
- Sensors (7 papers)Translational Lung Cancer Research (5 papers)IEEE Photonics Technology Letters (4 papers)Acta Biochimica et Biophysica Sinica (3 papers)Vaccine (3 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Lingyun Ye
94 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Immunology 411
- Microbiology 78
- Infectious Diseases 194
- Oncology 281
- Epidemiology 243
Countries citing papers authored by Lingyun Ye
This map shows the geographic impact of Lingyun Ye'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 Lingyun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyun Ye more than expected).
Fields of papers citing papers by Lingyun Ye
This network shows the impact of papers produced by Lingyun Ye. 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 Lingyun Ye. The network helps show where Lingyun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingyun Ye, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | cGAS-STING, an important pathway in cancer immunotherapy Hit paper breakdown → | 2020 | 432 |
| 2 | 2018 | 80 | |
| 3 | 2019 | 58 | |
| 4 | 2016 | 51 | |
| 5 | 2018 | 42 | |
| 6 | 2023 | 34 | |
| 7 | 2017 | 33 | |
| 8 | 2020 | 32 | |
| 9 | 2014 | 27 | |
| 10 | 2014 | 26 | |
| 11 | 2017 | 24 | |
| 12 | 2016 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2018 | 20 | |
| 16 | 2022 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2021 | 17 | |
| 20 | 2023 | 16 |
About Lingyun Ye
Lingyun Ye is a scholar working on Electrical and Electronic Engineering, Epidemiology, Materials Chemistry, Atomic and Molecular Physics, and Optics and Oncology, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (13 papers), Lung Cancer Research Studies (7 papers), Inertial Sensor and Navigation (7 papers), Silicone and Siloxane Chemistry (6 papers), Advanced Fiber Laser Technologies (6 papers), Geophysics and Sensor Technology (6 papers), Electromagnetic Compatibility and Noise Suppression (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Immunology (411 citations), Microbiology (78 citations), Infectious Diseases (194 citations), Oncology (281 citations) and Epidemiology (243 citations). Lingyun Ye has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yayi He, Sha Zhao, Caicun Zhou, Peixin Chen, Bin Chen, Lei Wang, Yu Liu, Minlin Jiang, Hao Wang and Wei Li. Their work appears in journals such as Sensors, Translational Lung Cancer Research, IEEE Photonics Technology Letters, Acta Biochimica et Biophysica Sinica and Vaccine.
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.