Lingchen Gao
Impact in
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- Circadian rhythm and melatonin
- Aging top 10%
Papers in
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- Ubiquitin and proteasome pathways 3
- Signaling Pathways in Disease 3
- Mitochondrial Function and Pathology 2
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- Circadian rhythm and melatonin 4
- Co-authors
- Jun Pu (17 shared papers)Longwei Xu (11 shared papers)Yuanyuan Su (9 shared papers)Ben He (8 shared papers)Yichao Zhao (9 shared papers)Nan Lin (7 shared papers)Yichao Zhao (7 shared papers)Qingqi Ji (6 shared papers)
- Journals
- Journal of Pineal Research (3 papers)Hypertension (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2 papers)Hepatology (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lingchen Gao
18 papers receiving 660 citations
Peers
Comparison fields: 5 of 77
- Endocrine and Autonomic Systems 119
- Aging 25
- Cardiology and Cardiovascular Medicine 110
- Molecular Biology 315
- Geriatrics and Gerontology 14
Countries citing papers authored by Lingchen Gao
This map shows the geographic impact of Lingchen Gao'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 Lingchen Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingchen Gao more than expected).
Fields of papers citing papers by Lingchen Gao
This network shows the impact of papers produced by Lingchen Gao. 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 Lingchen Gao. The network helps show where Lingchen Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingchen Gao, 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 | 2016 | 130 | |
| 2 | 2016 | 63 | |
| 3 | 2019 | 60 | |
| 4 | 2016 | 60 | |
| 5 | 2016 | 50 | |
| 6 | 2018 | 48 | |
| 7 | 2016 | 46 | |
| 8 | 2016 | 45 | |
| 9 | 2017 | 27 | |
| 10 | 2018 | 22 | |
| 11 | 2021 | 22 | |
| 12 | 2022 | 20 | |
| 13 | 2020 | 20 | |
| 14 | 2016 | 15 | |
| 15 | 2025 | 14 | |
| 16 | 2014 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2014 | 2 |
About Lingchen Gao
Lingchen Gao is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 661 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (4 papers), Ubiquitin and proteasome pathways (3 papers), Signaling Pathways in Disease (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Adipose Tissue and Metabolism (2 papers), Mitochondrial Function and Pathology (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (119 citations), Aging (25 citations), Cardiology and Cardiovascular Medicine (110 citations), Molecular Biology (315 citations) and Geriatrics and Gerontology (14 citations). Lingchen Gao has collaborated with scholars based in China and United States. Frequent co-authors include Jun Pu, Longwei Xu, Yuanyuan Su, Ben He, Yichao Zhao, Nan Lin, Yichao Zhao, Qingqi Ji, Ancai Yuan and Song Ding. Their work appears in journals such as Journal of Pineal Research, Hypertension, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Hepatology and Nature Communications.
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.