Chenling Zhang
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 14
- Identification and Quantification in Food 6
- Advanced biosensing and bioanalysis techniques 6
- Genetics 9
- Genetic diversity and population structure 8
- Co-authors
- Hao Jiang (1 shared paper)Michael Chopp (1 shared paper)Mei Lü (1 shared paper)Yi Li (1 shared paper)Jieli Chen (1 shared paper)Carolyn S. Feldkamp (1 shared paper)Lei Wang (1 shared paper)Mark Katakowski (1 shared paper)
- Journals
- PLoS ONE (3 papers)Nanotechnology (2 papers)Gene (1 paper)Journal of environmental chemical engineering (1 paper)Journal of Hydrology (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Chenling Zhang
31 papers receiving 813 citations
Peers
Comparison fields: 5 of 119
- Developmental Neuroscience 82
- Neurology 92
- Paleontology 46
- Neurology 77
- Cellular and Molecular Neuroscience 81
Countries citing papers authored by Chenling Zhang
This map shows the geographic impact of Chenling Zhang'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 Chenling Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenling Zhang more than expected).
Fields of papers citing papers by Chenling Zhang
This network shows the impact of papers produced by Chenling Zhang. 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 Chenling Zhang. The network helps show where Chenling Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenling Zhang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 492 | |
| 2 | 2017 | 68 | |
| 3 | 2018 | 29 | |
| 4 | 2017 | 22 | |
| 5 | 2018 | 22 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2011 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2014 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 2016 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2014 | 6 | |
| 18 | 2015 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2013 | 5 |
About Chenling Zhang
Chenling Zhang is a scholar working on Molecular Biology, Genetics, Global and Planetary Change, Nature and Landscape Conservation and Ecology, having authored 32 papers that have together received 827 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Genetic diversity and population structure (8 papers), Identification and Quantification in Food (6 papers), Amphibian and Reptile Biology (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Biosensors and Analytical Detection (3 papers), Advanced Nanomaterials in Catalysis (2 papers) and Fish biology, ecology, and behavior (2 papers). The work is most often cited by research in Developmental Neuroscience (82 citations), Neurology (92 citations), Paleontology (46 citations), Neurology (77 citations) and Cellular and Molecular Neuroscience (81 citations). Chenling Zhang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Hao Jiang, Michael Chopp, Mei Lü, Yi Li, Jieli Chen, Carolyn S. Feldkamp, Lei Wang, Mark Katakowski, Ying Wang and Zheng Gang Zhang. Their work appears in journals such as PLoS ONE, Nanotechnology, Gene, Journal of environmental chemical engineering and Journal of Hydrology.
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.