Qiang Chang
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 0.5%
- Genetics and Neurodevelopmental Disorders
Papers in
- Genetics 25
- Genetics and Neurodevelopmental Disorders 25
- Co-authors
- Rudolf JaenischSacha B. NelsonVardhan S. DaniHongda LiWen ChenAnne E. WestAlexander MeissnerMichael E. Greenberg
- Journals
- Journal of Neuroscience (5 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Neuroscience (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Qiang Chang
61 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Developmental Neuroscience 585
- Genetics 2.6k
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 3.7k
Countries citing papers authored by Qiang Chang
This map shows the geographic impact of Qiang Chang'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 Qiang Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Chang more than expected).
Fields of papers citing papers by Qiang Chang
This network shows the impact of papers produced by Qiang Chang. 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 Qiang Chang. The network helps show where Qiang Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qiang Chang, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 15 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2020 | 24 | |
| 12 | 2020 | 16 | |
| 13 | 2018 | 74 | |
| 14 | 2017 | 12 | |
| 15 | 2014 | 8 | |
| 16 | Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain Hit paper breakdown → | 2013 | 538 |
| 17 | 2011 | 162 | |
| 18 | 2007 | 72 | |
| 19 | Derepression of BDNF Transcription Involves Calcium-Dependent Phosphorylation of MeCP2 Hit paper breakdown → | 2003 | 984 |
| 20 | 2000 | 24 |
About Qiang Chang
Qiang Chang is a scholar working on Developmental Neuroscience, Genetics, Cognitive Neuroscience, Molecular Biology and Aging, having authored 62 papers that have together received 5.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (25 papers), Autism Spectrum Disorder Research (13 papers), Epigenetics and DNA Methylation (7 papers), RNA regulation and disease (5 papers), Neuroscience and Neuropharmacology Research (5 papers), RNA modifications and cancer (5 papers), Ion channel regulation and function (5 papers) and Chromatin Remodeling and Cancer (4 papers). The work is most often cited by research in Developmental Neuroscience (585 citations), Genetics (2.6k citations), Cognitive Neuroscience (1.4k citations), Cellular and Molecular Neuroscience (1.1k citations) and Molecular Biology (3.7k citations). Qiang Chang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Rudolf Jaenisch, Sacha B. Nelson, Vardhan S. Dani, Hongda Li, Wen Chen, Anne E. West, Alexander Meissner, Michael E. Greenberg, Yingxi Lin and Eric C. Griffith. Their work appears in journals such as Journal of Neuroscience, Proceedings of the National Academy of Sciences, Nature Neuroscience, Nature Communications 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.