Maya Shelly
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Axon Guidance and Neuronal Signaling
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
Papers in
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- Axon Guidance and Neuronal Signaling 8
- Neuroscience and Neuropharmacology Research 6
- Nerve injury and regeneration 2
- Co-authors
- Mu‐ming Poo (5 shared papers)Laura Cancedda (5 shared papers)Sarah C. Heilshorn (2 shared papers)Yosef Yarden (5 shared papers)Hongfeng Gao (3 shared papers)Byung Kook Lim (2 shared papers)Germán Sumbre (1 shared paper)Pei‐Lin Cheng (2 shared papers)
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)Journal of Biological Chemistry (2 papers)Neuron (2 papers)Developmental Cell (1 paper)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Maya Shelly
21 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Developmental Neuroscience 248
- Cellular and Molecular Neuroscience 594
- Cell Biology 308
- Aging 31
- Oncology 413
Countries citing papers authored by Maya Shelly
This map shows the geographic impact of Maya Shelly'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 Maya Shelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Shelly more than expected).
Fields of papers citing papers by Maya Shelly
This network shows the impact of papers produced by Maya Shelly. 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 Maya Shelly. The network helps show where Maya Shelly may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Shelly, 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 | 2007 | 286 | |
| 2 | 1999 | 247 | |
| 3 | 2010 | 204 | |
| 4 | 2011 | 173 | |
| 5 | 1996 | 127 | |
| 6 | 2011 | 126 | |
| 7 | 1998 | 122 | |
| 8 | 1998 | 113 | |
| 9 | 2003 | 52 | |
| 10 | 2013 | 50 | |
| 11 | 2011 | 47 | |
| 12 | 2017 | 27 | |
| 13 | 2023 | 20 | |
| 14 | 2016 | 15 | |
| 15 | 2016 | 11 | |
| 16 | 2020 | 8 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2012 | 4 | |
| 20 | 2024 | 1 |
About Maya Shelly
Maya Shelly is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Oncology and Cell Biology, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroscience and Neuropharmacology Research (6 papers), HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Luminescence Properties of Advanced Materials (2 papers), Nerve injury and regeneration (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Developmental Neuroscience (248 citations), Cellular and Molecular Neuroscience (594 citations), Cell Biology (308 citations), Aging (31 citations) and Oncology (413 citations). Maya Shelly has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Mu‐ming Poo, Laura Cancedda, Sarah C. Heilshorn, Yosef Yarden, Hongfeng Gao, Byung Kook Lim, Germán Sumbre, Pei‐Lin Cheng, Ronit Pinkas‐Kramarski and Daniel Harari. Their work appears in journals such as Nature Communications, Cell Reports, Journal of Biological Chemistry, Neuron and Developmental Cell.
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.