Dejiang Pang
Impact in
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- Sperm and Testicular Function
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- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- RNA Research and Splicing 5
- Epigenetics and DNA Methylation 4
- Neurology 14
- Amyotrophic Lateral Sclerosis Research 10
- Parkinson's Disease Mechanisms and Treatments 3
- Neurological disorders and treatments 2
- Co-authors
- Chao Huang (12 shared papers)Lixia Li (9 shared papers)Yuanfeng Zou (9 shared papers)Zhengli Chen (10 shared papers)Bin Feng (8 shared papers)Qihui Luo (8 shared papers)Wentao Liu (5 shared papers)Chunyu Li (12 shared papers)
- Journals
- Molecular Neurobiology (4 papers)BMC Medicine (2 papers)International Journal of Biological Sciences (2 papers)Molecules (2 papers)Journal of Neurology (2 papers)
- Partner nations
- ChinaNorwayUnited States
In The Last Decade
Dejiang Pang
29 papers receiving 495 citations
Peers
Comparison fields: 5 of 92
- Reproductive Medicine 40
- Neurology 67
- Nutrition and Dietetics 49
- Molecular Biology 216
- Physiology 14
Countries citing papers authored by Dejiang Pang
This map shows the geographic impact of Dejiang Pang'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 Dejiang Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejiang Pang more than expected).
Fields of papers citing papers by Dejiang Pang
This network shows the impact of papers produced by Dejiang Pang. 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 Dejiang Pang. The network helps show where Dejiang Pang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejiang Pang, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 48 | |
| 2 | 2019 | 44 | |
| 3 | 2018 | 43 | |
| 4 | 2016 | 37 | |
| 5 | 2020 | 33 | |
| 6 | 2019 | 32 | |
| 7 | 2023 | 32 | |
| 8 | 2021 | 30 | |
| 9 | 2020 | 28 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 26 | |
| 12 | 2017 | 19 | |
| 13 | 2022 | 15 | |
| 14 | 2014 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2024 | 10 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2014 | 7 |
About Dejiang Pang
Dejiang Pang is a scholar working on Molecular Biology, Neurology, Genetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 34 papers that have together received 505 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (7 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (4 papers), Alzheimer's disease research and treatments (3 papers), Polysaccharides and Plant Cell Walls (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Reproductive Medicine (40 citations), Neurology (67 citations), Nutrition and Dietetics (49 citations), Molecular Biology (216 citations) and Physiology (14 citations). Dejiang Pang has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Chao Huang, Lixia Li, Yuanfeng Zou, Zhengli Chen, Bin Feng, Qihui Luo, Wentao Liu, Chunyu Li, Huifang Shang and Xiyue Cao. Their work appears in journals such as Molecular Neurobiology, BMC Medicine, International Journal of Biological Sciences, Molecules and Journal of 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.