Changan Jiang
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Aging top 5%
Papers in
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- Ubiquitin and proteasome pathways 2
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- Autophagy in Disease and Therapy 6
- Co-authors
- Carl S. Thummel (4 shared papers)Erin M. Schuman (2 shared papers)Eric H. Baehrecke (1 shared paper)W. Bryan Smith (1 shared paper)Hermann Steller (1 shared paper)Geanette Lam (1 shared paper)Ju Gao (4 shared papers)Donald L. Atkinson (1 shared paper)
- Journals
- Development (2 papers)Autophagy (1 paper)Nature Genetics (1 paper)Cell Research (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Changan Jiang
19 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 89
- Cellular and Molecular Neuroscience 759
- Aging 52
- Developmental Neuroscience 85
- Molecular Biology 1.1k
- Cell Biology 200
Countries citing papers authored by Changan Jiang
This map shows the geographic impact of Changan Jiang'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 Changan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changan Jiang more than expected).
Fields of papers citing papers by Changan Jiang
This network shows the impact of papers produced by Changan Jiang. 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 Changan Jiang. The network helps show where Changan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Changan Jiang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 483 | |
| 2 | 1997 | 330 | |
| 3 | 2000 | 224 | |
| 4 | 1994 | 193 | |
| 5 | 1997 | 140 | |
| 6 | 2002 | 92 | |
| 7 | 2016 | 36 | |
| 8 | 2015 | 33 | |
| 9 | 2020 | 23 | |
| 10 | 2016 | 21 | |
| 11 | 2015 | 21 | |
| 12 | 2018 | 18 | |
| 13 | 2002 | 17 | |
| 14 | 2021 | 14 | |
| 15 | 2019 | 10 | |
| 16 | 2017 | 8 | |
| 17 | 2016 | 7 | |
| 18 | [Autophagy promoted by Pakinson's disease related protein Pink1]. | 2013 | 1 |
| 19 | [The mechanism of PINK1 localization on the outer membrane of mitochondria]. | 2013 | 1 |
| 20 | 2025 | 0 |
About Changan Jiang
Changan Jiang is a scholar working on Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience, Cell Biology and Immunology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Invertebrate Immune Response Mechanisms (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Neurobiology and Insect Physiology Research (3 papers), Cellular transport and secretion (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (759 citations), Aging (52 citations), Developmental Neuroscience (85 citations), Molecular Biology (1.1k citations) and Cell Biology (200 citations). Changan Jiang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Carl S. Thummel, Erin M. Schuman, Eric H. Baehrecke, W. Bryan Smith, Hermann Steller, Geanette Lam, Ju Gao, Donald L. Atkinson, Michael H. Lehmann and Jeffrey A. Towbin. Their work appears in journals such as Development, Autophagy, Nature Genetics, Cell Research and Brain Research.
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.