Nan Pang
Impact in
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
- Genetics 9
- Genetics and Neurodevelopmental Disorders 8
- Genomics and Rare Diseases 3
- Genomic variations and chromosomal abnormalities 2
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- Congenital heart defects research 2
- Co-authors
- Jing Peng (16 shared papers)Fei Yin (14 shared papers)Fang He (8 shared papers)Lifen Yang (8 shared papers)Chen Chen (8 shared papers)Liwen Wu (2 shared papers)Xiaolu Deng (4 shared papers)Shiqi Guang (1 shared paper)
- Journals
- Frontiers in Pediatrics (2 papers)Frontiers in Neuroscience (2 papers)CNS Neuroscience & Therapeutics (2 papers)Gene (1 paper)BMC Medicine (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Nan Pang
19 papers receiving 532 citations
Peers
Comparison fields: 5 of 70
- Genetics 224
- Cognitive Neuroscience 140
- Developmental Neuroscience 28
- Psychiatry and Mental health 88
- Cellular and Molecular Neuroscience 83
Countries citing papers authored by Nan Pang
This map shows the geographic impact of Nan 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 Nan Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Pang more than expected).
Fields of papers citing papers by Nan Pang
This network shows the impact of papers produced by Nan 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 Nan Pang. The network helps show where Nan Pang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 201 | |
| 2 | 2018 | 61 | |
| 3 | 2018 | 46 | |
| 4 | 2019 | 45 | |
| 5 | 2017 | 44 | |
| 6 | 2018 | 36 | |
| 7 | 2018 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2018 | 16 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2022 | 6 | |
| 14 | 2019 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 0 |
About Nan Pang
Nan Pang is a scholar working on Genetics, Molecular Biology, Cognitive Neuroscience, Cell Biology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 535 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (8 papers), Genomics and Rare Diseases (3 papers), Autism Spectrum Disorder Research (3 papers), Epilepsy research and treatment (2 papers), Cellular transport and secretion (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Congenital heart defects research (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Genetics (224 citations), Cognitive Neuroscience (140 citations), Developmental Neuroscience (28 citations), Psychiatry and Mental health (88 citations) and Cellular and Molecular Neuroscience (83 citations). Nan Pang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jing Peng, Fei Yin, Fang He, Lifen Yang, Chen Chen, Liwen Wu, Xiaolu Deng, Shiqi Guang, Juan Xiong and Miriam Kessi. Their work appears in journals such as Frontiers in Pediatrics, Frontiers in Neuroscience, CNS Neuroscience & Therapeutics, Gene and BMC Medicine.
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.