Daojun Hong
Impact in
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
-
- Genetic Neurodegenerative Diseases
Papers in
-
- Muscle Physiology and Disorders 8
- RNA Research and Splicing 7
- Mitochondrial Function and Pathology 7
- RNA regulation and disease 6
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- Genetic Neurodegenerative Diseases 23
- Co-authors
- Yun Yuan (24 shared papers)Min Zhu (26 shared papers)Xin Fang (15 shared papers)Jianwen Deng (18 shared papers)Wei Zhang (15 shared papers)Zhaoxia Wang (12 shared papers)Zhaoxia Wang (11 shared papers)Tingtao Chen (7 shared papers)
- Journals
- BMC Neurology (8 papers)Brain and Behavior (6 papers)Clinical Neuropathology (5 papers)Neurological Sciences (4 papers)Annals of Clinical and Translational Neurology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Daojun Hong
100 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 82
- Neurology 383
- Cellular and Molecular Neuroscience 483
- Clinical Biochemistry 124
- Neurology 101
- Biological Psychiatry 26
Countries citing papers authored by Daojun Hong
This map shows the geographic impact of Daojun Hong'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 Daojun Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daojun Hong more than expected).
Fields of papers citing papers by Daojun Hong
This network shows the impact of papers produced by Daojun Hong. 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 Daojun Hong. The network helps show where Daojun Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Daojun Hong, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 100 | |
| 2 | 2021 | 86 | |
| 3 | 2014 | 62 | |
| 4 | 2010 | 61 | |
| 5 | 2020 | 60 | |
| 6 | 2021 | 60 | |
| 7 | 2022 | 50 | |
| 8 | 2020 | 48 | |
| 9 | 2021 | 46 | |
| 10 | 2021 | 41 | |
| 11 | 2023 | 36 | |
| 12 | 2021 | 36 | |
| 13 | 2022 | 34 | |
| 14 | 2016 | 33 | |
| 15 | 2010 | 32 | |
| 16 | 2015 | 31 | |
| 17 | 2015 | 29 | |
| 18 | 2020 | 26 | |
| 19 | 2022 | 23 | |
| 20 | 2022 | 22 |
About Daojun Hong
Daojun Hong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Neurology, having authored 116 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (23 papers), Muscle Physiology and Disorders (8 papers), Cardiomyopathy and Myosin Studies (8 papers), RNA Research and Splicing (7 papers), Mitochondrial Function and Pathology (7 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Neurogenetic and Muscular Disorders Research (6 papers) and RNA regulation and disease (6 papers). The work is most often cited by research in Neurology (383 citations), Cellular and Molecular Neuroscience (483 citations), Clinical Biochemistry (124 citations), Neurology (101 citations) and Biological Psychiatry (26 citations). Daojun Hong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yun Yuan, Min Zhu, Xin Fang, Jianwen Deng, Wei Zhang, Zhaoxia Wang, Zhaoxia Wang, Tingtao Chen, Xi Lu and Fang Pu. Their work appears in journals such as BMC Neurology, Brain and Behavior, Clinical Neuropathology, Neurological Sciences and Annals of Clinical and Translational Neurology.
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.