Jin Du
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- Mitochondrial Function and Pathology 3
- Microbial Metabolic Engineering and Bioproduction 3
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- Complex Network Analysis Techniques 3
- Co-authors
- Ying‐Jin Yuan (5 shared papers)Hao Song (3 shared papers)Ming‐Zhu Ding (2 shared papers)Haifeng Pei (5 shared papers)Qian Ma (1 shared paper)Bo Hu (1 shared paper)Ruiyang Zou (1 shared paper)Xiaoqiang Jia (1 shared paper)
In The Last Decade
Jin Du
20 papers receiving 444 citations
Peers
Comparison fields: 5 of 97
- Aging 17
- Endocrine and Autonomic Systems 53
- Molecular Biology 279
- Biochemistry 29
- Pollution 24
Countries citing papers authored by Jin Du
This map shows the geographic impact of Jin Du'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 Jin Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Du more than expected).
Fields of papers citing papers by Jin Du
This network shows the impact of papers produced by Jin Du. 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 Jin Du. The network helps show where Jin Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Du, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 87 | |
| 2 | 2016 | 74 | |
| 3 | 2016 | 64 | |
| 4 | 2010 | 48 | |
| 5 | 2013 | 45 | |
| 6 | 2011 | 39 | |
| 7 | 2020 | 27 | |
| 8 | 2015 | 20 | |
| 9 | 2020 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2016 | 7 | |
| 12 | 2015 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | [The diagnosis, treatment and following up of 7 patients with 45, X/46, XY mixed gonadal dysgenesis]. | 2015 | 1 |
| 20 | [A retrospective study of the impact of diabetes mellitus on survival in patients with lung cancer]. | 2015 | 1 |
About Jin Du
Jin Du is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Endocrinology, Diabetes and Metabolism, Ecology and Artificial Intelligence, having authored 22 papers that have together received 448 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (3 papers), Mitochondrial Function and Pathology (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Complex Network Analysis Techniques (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Microbial Fuel Cells and Bioremediation (2 papers), Microbial Community Ecology and Physiology (2 papers) and GDF15 and Related Biomarkers (2 papers). The work is most often cited by research in Aging (17 citations), Endocrine and Autonomic Systems (53 citations), Molecular Biology (279 citations), Biochemistry (29 citations) and Pollution (24 citations). Jin Du has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Ying‐Jin Yuan, Hao Song, Ming‐Zhu Ding, Haifeng Pei, Qian Ma, Bo Hu, Ruiyang Zou, Xiaoqiang Jia, Lei He and Xiuchuan Li. Their work appears in journals such as PLoS ONE, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Free Radical Biology and Medicine, Complexity and Synthetic and Systems Biotechnology.
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.