Daniel Shaver
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Neonatal and fetal brain pathology 3
- Co-authors
- Puja K. Parekh (1 shared paper)Mitchell H. Murdock (1 shared paper)Karl Deisseroth (1 shared paper)Lara Nellissen (1 shared paper)Jonathan Witztum (1 shared paper)Haruo Kasai (1 shared paper)Haruhiko Bito (1 shared paper)Robert N. Fetcho (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Journal of Clinical Investigation (1 paper)Cell (1 paper)Reliability Engineering & System Safety (1 paper)Annals of Neurology (1 paper)
- Partner nations
- United StatesNew ZealandGermany
In The Last Decade
Daniel Shaver
9 papers receiving 703 citations
Daniel Shaver's Hit Papers
Peers
Comparison fields: 5 of 79
- Biological Psychiatry 194
- Behavioral Neuroscience 90
- Developmental Neuroscience 61
- Cellular and Molecular Neuroscience 250
- Pharmacology 195
Countries citing papers authored by Daniel Shaver
This map shows the geographic impact of Daniel Shaver'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 Daniel Shaver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Shaver more than expected).
Fields of papers citing papers by Daniel Shaver
This network shows the impact of papers produced by Daniel Shaver. 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 Daniel Shaver. The network helps show where Daniel Shaver may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Shaver, 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 | Sustained rescue of prefrontal circuit dysfunction by antidepressant-induced spine formation Hit paper breakdown → | 2019 | 490 |
| 2 | 2014 | 65 | |
| 3 | 2017 | 65 | |
| 4 | 2018 | 49 | |
| 5 | 2014 | 37 | |
| 6 | 2002 | 11 | |
| 7 | 1989 | 8 | |
| 8 | 2014 | 3 | |
| 9 | 2014 | 1 | |
| 10 | 2026 | 0 |
About Daniel Shaver
Daniel Shaver is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Cellular and Molecular Neuroscience, Safety, Risk, Reliability and Quality and Biophysics, having authored 10 papers that have together received 729 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (3 papers), Risk and Safety Analysis (2 papers), Reliability and Maintenance Optimization (2 papers), Software Reliability and Analysis Research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Advanced Electron Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Biological Psychiatry (194 citations), Behavioral Neuroscience (90 citations), Developmental Neuroscience (61 citations), Cellular and Molecular Neuroscience (250 citations) and Pharmacology (195 citations). Daniel Shaver has collaborated with scholars based in United States, New Zealand and Germany. Frequent co-authors include Puja K. Parekh, Mitchell H. Murdock, Karl Deisseroth, Lara Nellissen, Jonathan Witztum, Haruo Kasai, Haruhiko Bito, Robert N. Fetcho, Emily Alway and Katherine Lopez. Their work appears in journals such as Journal of Visualized Experiments, Journal of Clinical Investigation, Cell, Reliability Engineering & System Safety and Annals of Neurology.
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.