Da‐long Ren
Impact in
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- Circadian rhythm and melatonin
Papers in
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- Circadian rhythm and melatonin 12
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- Zebrafish Biomedical Research Applications 8
- Co-authors
- Bing Hu (12 shared papers)Han Wang (4 shared papers)Zongjun Yin (8 shared papers)Dengfeng Huang (3 shared papers)Shuchao Ge (1 shared paper)Ling Zhang (6 shared papers)Min Chen (1 shared paper)Yajuan Li (1 shared paper)
- Journals
- Fish & Shellfish Immunology (3 papers)The FASEB Journal (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Chronobiology International (2 papers)Biomedicine & Pharmacotherapy (2 papers)
- Partner nations
- China
In The Last Decade
Da‐long Ren
30 papers receiving 364 citations
Peers
Comparison fields: 5 of 82
- Endocrine and Autonomic Systems 103
- Aging 13
- Cell Biology 69
- Immunology 75
- Developmental Neuroscience 14
Countries citing papers authored by Da‐long Ren
This map shows the geographic impact of Da‐long Ren'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 Da‐long Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da‐long Ren more than expected).
Fields of papers citing papers by Da‐long Ren
This network shows the impact of papers produced by Da‐long Ren. 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 Da‐long Ren. The network helps show where Da‐long Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Da‐long Ren, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 47 | |
| 2 | 2015 | 34 | |
| 3 | 2018 | 30 | |
| 4 | 2024 | 25 | |
| 5 | 2018 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2024 | 14 | |
| 8 | 2018 | 13 | |
| 9 | 2017 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 7 |
About Da‐long Ren
Da‐long Ren is a scholar working on Endocrine and Autonomic Systems, Cell Biology, Physiology, Immunology and Molecular Biology, having authored 31 papers that have together received 364 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (12 papers), Zebrafish Biomedical Research Applications (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Immune cells in cancer (3 papers), Dietary Effects on Health (3 papers), Sleep and Wakefulness Research (3 papers) and Electromagnetic Fields and Biological Effects (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (103 citations), Aging (13 citations), Cell Biology (69 citations), Immunology (75 citations) and Developmental Neuroscience (14 citations). Da‐long Ren has collaborated with scholars based in China. Frequent co-authors include Bing Hu, Han Wang, Zongjun Yin, Dengfeng Huang, Shuchao Ge, Ling Zhang, Min Chen, Yajuan Li, Xiaobo Wang and Junlong Zhang. Their work appears in journals such as Fish & Shellfish Immunology, The FASEB Journal, Journal of Agricultural and Food Chemistry, Chronobiology International and Biomedicine & Pharmacotherapy.
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.