Lingye Chen
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
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- Catalysis and Oxidation Reactions
Papers in
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- COVID-19 Clinical Research Studies 5
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- Ion channel regulation and function 4
- Co-authors
- Bryan Kraft (12 shared papers)Karen E. Welty‐Wolf (4 shared papers)Huayao Chen (1 shared paper)Hongbing Ji (1 shared paper)Zebao Rui (1 shared paper)Tobias Stauber (4 shared papers)Peter van Gelderen (1 shared paper)Han‐Xiang Deng (1 shared paper)
- Journals
- American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)Journal of Biological Chemistry (2 papers)Photonics (1 paper)Biochemical and Biophysical Research Communications (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Lingye Chen
21 papers receiving 642 citations
Peers
Comparison fields: 5 of 93
- Neurology 153
- Neurology 59
- Catalysis 43
- Sensory Systems 20
- Genetics 37
Countries citing papers authored by Lingye Chen
This map shows the geographic impact of Lingye 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 Lingye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingye Chen more than expected).
Fields of papers citing papers by Lingye Chen
This network shows the impact of papers produced by Lingye 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 Lingye Chen. The network helps show where Lingye Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingye 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 219 | |
| 2 | 2014 | 94 | |
| 3 | 2022 | 59 | |
| 4 | 2019 | 45 | |
| 5 | 2017 | 40 | |
| 6 | 2019 | 39 | |
| 7 | 2019 | 27 | |
| 8 | 2019 | 22 | |
| 9 | 2021 | 18 | |
| 10 | 2010 | 17 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Lingye Chen
Lingye Chen is a scholar working on Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine and Epidemiology, having authored 25 papers that have together received 645 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Respiratory Support and Mechanisms (4 papers), Ion channel regulation and function (4 papers), Immune Response and Inflammation (4 papers), Cardiac Arrest and Resuscitation (3 papers), Pneumonia and Respiratory Infections (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Neurology (153 citations), Neurology (59 citations), Catalysis (43 citations), Sensory Systems (20 citations) and Genetics (37 citations). Lingye Chen has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Bryan Kraft, Karen E. Welty‐Wolf, Huayao Chen, Hongbing Ji, Zebao Rui, Tobias Stauber, Peter van Gelderen, Han‐Xiang Deng, Elham Bayat and Laura E. Danielian. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Biological Chemistry, Photonics, Biochemical and Biophysical Research Communications and PROTEOMICS.
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.