Susan L. Ackerman
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
- Cellular and Molecular Neuroscience top 0.5%
- Axon Guidance and Neuronal Signaling
- Neuroscience and Neuropharmacology Research
Papers in
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- Neurogenesis and neuroplasticity mechanisms 17
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- Axon Guidance and Neuronal Signaling 21
- Co-authors
- Jeffrey A. KleinLihong ZhaoChantal M. Longo-GuessBarbara B. KnowlesStefan PrzyborskiMridu KapurPaul SchimmelJeong-Woong Lee
- Journals
- Journal of Neuroscience (11 papers)Proceedings of the National Academy of Sciences (6 papers)Nature (5 papers)eLife (4 papers)Neuron (3 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Susan L. Ackerman
78 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 136
- Developmental Neuroscience 939
- Cellular and Molecular Neuroscience 2.2k
- Cell Biology 1.4k
- Molecular Biology 5.0k
- Aging 122
Countries citing papers authored by Susan L. Ackerman
This map shows the geographic impact of Susan L. Ackerman'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 Susan L. Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan L. Ackerman more than expected).
Fields of papers citing papers by Susan L. Ackerman
This network shows the impact of papers produced by Susan L. Ackerman. 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 Susan L. Ackerman. The network helps show where Susan L. Ackerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan L. Ackerman, 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 | 2024 | 4 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 69 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 26 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 31 | |
| 9 | 2016 | 161 | |
| 10 | 2015 | 41 | |
| 11 | 2015 | 29 | |
| 12 | 2014 | 328 | |
| 13 | 2014 | 54 | |
| 14 | 2013 | 25 | |
| 15 | 2011 | 46 | |
| 16 | 2008 | 33 | |
| 17 | 2003 | 410 | |
| 18 | 2003 | 410 | |
| 19 | Positional Cloning and Phenotypic Characterization of a New Mutant Mouse with Neuronal Migration Abnormality | 2001 | 1 |
| 20 | 1997 | 304 |
About Susan L. Ackerman
Susan L. Ackerman is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Religious studies, having authored 79 papers that have together received 7.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (21 papers), Axon Guidance and Neuronal Signaling (21 papers), Neurogenesis and neuroplasticity mechanisms (17 papers), RNA modifications and cancer (16 papers), RNA regulation and disease (11 papers), RNA and protein synthesis mechanisms (10 papers), Developmental Biology and Gene Regulation (8 papers) and Mitochondrial Function and Pathology (7 papers). The work is most often cited by research in Developmental Neuroscience (939 citations), Cellular and Molecular Neuroscience (2.2k citations), Cell Biology (1.4k citations), Molecular Biology (5.0k citations) and Aging (122 citations). Susan L. Ackerman has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Jeffrey A. Klein, Lihong Zhao, Chantal M. Longo-Guess, Barbara B. Knowles, Stefan Przyborski, Mridu Kapur, Paul Schimmel, Jeong-Woong Lee, Jeffrey H. Chuang and Kevin L. Seburn. Their work appears in journals such as Journal of Neuroscience, Proceedings of the National Academy of Sciences, Nature, eLife and Neuron.
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.