Chaojun Yan
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Molecular Biology top 10%
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
-
- Mitochondrial Function and Pathology 8
- ATP Synthase and ATPases Research 6
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 3
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- Autophagy in Disease and Therapy 4
- Co-authors
- Zhiyin Song (11 shared papers)Li Chen (4 shared papers)Bing Liu (2 shared papers)Ling Zeng (2 shared papers)Meng Xu (1 shared paper)Hussein Abou‐Hamdan (1 shared paper)Laurent Désaubry (1 shared paper)Mingliang Tang (1 shared paper)
- Journals
- Autophagy (3 papers)eLife (2 papers)Endocrinology (1 paper)Cell Research (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Chaojun Yan
14 papers receiving 1.1k citations
Chaojun Yan's Hit Papers
Peers
Comparison fields: 5 of 84
- Clinical Biochemistry 117
- Molecular Biology 834
- Epidemiology 357
- Cancer Research 153
- Geriatrics and Gerontology 29
Countries citing papers authored by Chaojun Yan
This map shows the geographic impact of Chaojun Yan'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 Chaojun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaojun Yan more than expected).
Fields of papers citing papers by Chaojun Yan
This network shows the impact of papers produced by Chaojun Yan. 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 Chaojun Yan. The network helps show where Chaojun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaojun Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | PHB2 (prohibitin 2) promotes PINK1-PRKN/Parkin-dependent mitophagy by the PARL-PGAM5-PINK1 axis Hit paper breakdown → | 2019 | 301 |
| 2 | 2019 | 219 | |
| 3 | 2014 | 169 | |
| 4 | 2020 | 94 | |
| 5 | 2018 | 86 | |
| 6 | 2022 | 84 | |
| 7 | 2019 | 78 | |
| 8 | 2019 | 26 | |
| 9 | 2023 | 26 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2025 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Chaojun Yan
Chaojun Yan is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Clinical Biochemistry and Immunology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), ATP Synthase and ATPases Research (6 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Autophagy in Disease and Therapy (4 papers), Metabolism and Genetic Disorders (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Clinical Biochemistry (117 citations), Molecular Biology (834 citations), Epidemiology (357 citations), Cancer Research (153 citations) and Geriatrics and Gerontology (29 citations). Chaojun Yan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Zhiyin Song, Li Chen, Bing Liu, Ling Zeng, Meng Xu, Hussein Abou‐Hamdan, Laurent Désaubry, Mingliang Tang, Bin Lü and Shi Chen. Their work appears in journals such as Autophagy, eLife, Endocrinology, Cell Research and Cell Reports.
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.