Qu Chen
Impact in
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- Stress Responses and Cortisol
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- Menopause: Health Impacts and Treatments
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Diet, Metabolism, and Disease 5
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetes Management and Education 2
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- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Xuejun Wang (1 shared paper)Jean‐Claude Dreher (1 shared paper)Élise Météreau (1 shared paper)Michel Pugeat (1 shared paper)Mitzi Nagarkatti (1 shared paper)Taixing Cui (1 shared paper)Huimei Zang (1 shared paper)Linmao Lyu (1 shared paper)
- Journals
- Forests (1 paper)Scientific Reports (1 paper)Toxics (1 paper)Agronomy (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- ChinaKazakhstanFrance
In The Last Decade
Qu Chen
24 papers receiving 282 citations
Peers
Comparison fields: 5 of 101
- Behavioral Neuroscience 18
- Endocrinology, Diabetes and Metabolism 61
- Physiology 8
- Biological Psychiatry 4
- Molecular Biology 98
Countries citing papers authored by Qu Chen
This map shows the geographic impact of Qu 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 Qu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qu Chen more than expected).
Fields of papers citing papers by Qu Chen
This network shows the impact of papers produced by Qu 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 Qu Chen. The network helps show where Qu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Qu 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 | 2015 | 80 | |
| 2 | 2017 | 44 | |
| 3 | 2019 | 30 | |
| 4 | 2018 | 22 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2023 | 11 | |
| 9 | 2020 | 10 | |
| 10 | [Occurrence of depression symptoms and their influence factors in perimenopausal women]. | 1996 | 9 |
| 11 | 2023 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2025 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2023 | 2 | |
| 20 | Platelet Count is Associated with the Rate of Lymph Node Metastasis in Lung Adenocarcinoma | 2020 | 1 |
About Qu Chen
Qu Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 285 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Diet, Metabolism, and Disease (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Management and Education (2 papers), HER2/EGFR in Cancer Research (2 papers), Diet and metabolism studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Soybean genetics and cultivation (1 paper). The work is most often cited by research in Behavioral Neuroscience (18 citations), Endocrinology, Diabetes and Metabolism (61 citations), Physiology (8 citations), Biological Psychiatry (4 citations) and Molecular Biology (98 citations). Qu Chen has collaborated with scholars based in China, Kazakhstan and France. Frequent co-authors include Xuejun Wang, Jean‐Claude Dreher, Élise Météreau, Michel Pugeat, Mitzi Nagarkatti, Taixing Cui, Huimei Zang, Linmao Lyu, Prakash Nagarkatti and Lei S. Qi. Their work appears in journals such as Forests, Scientific Reports, Toxics, Agronomy and Frontiers in Neuroscience.
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.