Hai‐Ning Du
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in
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- Parkinson's Disease Mechanisms and Treatments 6
-
- Genomics and Chromatin Dynamics 5
- Protein Structure and Dynamics 4
- Co-authors
- Scott D. Briggs (6 shared papers)Hong‐Yu Hu (9 shared papers)Lin Tang (5 shared papers)Jun Hu (5 shared papers)Ruijiao Zhu (11 shared papers)Xingpei Fan (11 shared papers)Jiawei Zhou (2 shared papers)Ning Gu (8 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Biopolymers (3 papers)Aging and Disease (3 papers)Science China Life Sciences (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hai‐Ning Du
63 papers receiving 4.3k citations
Hai‐Ning Du's Hit Papers
Peers
Comparison fields: 5 of 103
- Neurology 361
- Epidemiology 739
- Aging 22
- Pollution 170
- Cell Biology 132
Countries citing papers authored by Hai‐Ning Du
This map shows the geographic impact of Hai‐Ning 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 Hai‐Ning Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Ning Du more than expected).
Fields of papers citing papers by Hai‐Ning Du
This network shows the impact of papers produced by Hai‐Ning 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 Hai‐Ning Du. The network helps show where Hai‐Ning Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai‐Ning 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2067 |
| 2 | 2009 | 219 | |
| 3 | 2021 | 143 | |
| 4 | 2016 | 142 | |
| 5 | 2003 | 140 | |
| 6 | 2008 | 113 | |
| 7 | 2005 | 99 | |
| 8 | 2006 | 91 | |
| 9 | 2000 | 85 | |
| 10 | 2020 | 76 | |
| 11 | 2016 | 69 | |
| 12 | 2002 | 64 | |
| 13 | 2018 | 63 | |
| 14 | 2019 | 62 | |
| 15 | 2000 | 59 | |
| 16 | 2018 | 57 | |
| 17 | 2023 | 54 | |
| 18 | 2017 | 45 | |
| 19 | 2009 | 42 | |
| 20 | 2023 | 40 |
About Hai‐Ning Du
Hai‐Ning Du is a scholar working on Neurology, Molecular Biology, Pollution, Biochemistry and Cell Biology, having authored 63 papers that have together received 4.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Genomics and Chromatin Dynamics (5 papers), Protein Structure and Dynamics (4 papers), Alzheimer's disease research and treatments (3 papers), Microplastics and Plastic Pollution (3 papers), Autophagy in Disease and Therapy (3 papers), Microtubule and mitosis dynamics (2 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Neurology (361 citations), Epidemiology (739 citations), Aging (22 citations), Pollution (170 citations) and Cell Biology (132 citations). Hai‐Ning Du has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Scott D. Briggs, Hong‐Yu Hu, Lin Tang, Jun Hu, Ruijiao Zhu, Xingpei Fan, Jiawei Zhou, Ning Gu, Hong Tao Li and Boya Zhang. Their work appears in journals such as Journal of Biological Chemistry, Biopolymers, Aging and Disease, Science China Life Sciences and Cell Death and Disease.
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.