Christine M. Gall
- Developmental Neuroscience top 0.02%
- Neurogenesis and neuroplasticity mechanisms 69
- Cellular and Molecular Neuroscience top 0.02%
- Neuroscience and Neuropharmacology Research 125
- Nerve injury and regeneration 49
- Neuropeptides and Animal Physiology 20
- Axon Guidance and Neuronal Signaling 15
- Behavioral Neuroscience top 0.2%
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms 17
- Biological Psychiatry top 0.5%
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- Memory and Neural Mechanisms 37
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- Receptor Mechanisms and Signaling 30
Christine M. Gall
253 papers receiving 18.8k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Developmental Neuroscience 4.5k
- Cellular and Molecular Neuroscience 12.3k
- Behavioral Neuroscience 1.5k
- Neurology 1.9k
- Biological Psychiatry 538
Countries citing papers authored by Christine M. Gall
This map shows the geographic impact of Christine M. Gall'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 Christine M. Gall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine M. Gall more than expected).
Fields of papers citing papers by Christine M. Gall
This network shows the impact of papers produced by Christine M. Gall. 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 Christine M. Gall. The network helps show where Christine M. Gall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christine M. Gall, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2022 | 27 | |
| 7 | 2021 | 96 | |
| 8 | 2021 | 23 | |
| 9 | 2020 | 31 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 90 | |
| 12 | 2018 | 9 | |
| 13 | 2017 | 3 | |
| 14 | 2016 | 64 | |
| 15 | 2016 | 39 | |
| 16 | 2007 | 204 | |
| 17 | 2006 | 182 | |
| 18 | Minimal residual disease analysis in children with t(12;21)-positive acute lymphoblastic leukemia: comparison of Ig/TCR rearrangements and the genomic fusion gene. | 2006 | 14 |
| 19 | Ampakines can sustain long-term increases in BDNF expression in hippocampal explants | 2001 | 1 |
| 20 | Does neurotrophin 3 induce septal cholinergic axons to target dentate gyrus granule cells | 2001 | 1 |
About Christine M. Gall
Christine M. Gall is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 257 papers that have together received 19.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (125 papers), Neurogenesis and neuroplasticity mechanisms (69 papers), Nerve injury and regeneration (49 papers), Memory and Neural Mechanisms (37 papers), Receptor Mechanisms and Signaling (30 papers), Neuropeptides and Animal Physiology (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (17 papers) and Axon Guidance and Neuronal Signaling (15 papers). The work is most often cited by research in Developmental Neuroscience (4.5k citations), Cellular and Molecular Neuroscience (12.3k citations) and Behavioral Neuroscience (1.5k citations). Christine M. Gall has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include Gary Lynch, Julie C. Lauterborn, Paul J. Isackson, Enikö A. Kramár, Christopher S. Rex, Lulu Y. Chen, J. M. Conner, Kim B. Seroogy, Christopher Rex and S Varon. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.