Daniel Shaver
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in ⓘ
- Software 2
- Software Reliability and Analysis Research 2
- Co-authors
- Puja K. Parekh (1 shared paper)Thu N. Huynh (1 shared paper)Jonathan Witztum (1 shared paper)Ben Huang (1 shared paper)David Rosenthal (1 shared paper)Katherine Lopez (1 shared paper)Mitchell H. Murdock (1 shared paper)Haruhiko Bito (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Reliability Engineering & System Safety (1 paper)Science (1 paper)Journal of Neuroscience (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesNew ZealandNigeria
In The Last Decade
Daniel Shaver
9 papers receiving 664 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 222
- Behavioral Neuroscience 93
- Developmental Neuroscience 60
- Cellular and Molecular Neuroscience 259
- Pharmacology 194
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 | 461 |
| 2 | 2017 | 60 | |
| 3 | 2014 | 54 | |
| 4 | 2018 | 43 | |
| 5 | 2014 | 30 | |
| 6 | 2002 | 10 | |
| 7 | 1989 | 8 | |
| 8 | 2014 | 3 | |
| 9 | 2014 | 1 |
About Daniel Shaver
Daniel Shaver is a scholar working on Structural Biology, Software, Biophysics, Statistics, Probability and Uncertainty and Behavioral Neuroscience, having authored 9 papers that have together received 670 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (3 papers), Reliability and Maintenance Optimization (2 papers), Software Reliability and Analysis Research (2 papers), Risk and Safety Analysis (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Neonatal Respiratory Health Research (2 papers), MicroRNA in disease regulation (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Biological Psychiatry (222 citations), Behavioral Neuroscience (93 citations), Developmental Neuroscience (60 citations), Cellular and Molecular Neuroscience (259 citations) and Pharmacology (194 citations). Daniel Shaver has collaborated with scholars based in United States, New Zealand and Nigeria. Frequent co-authors include Puja K. Parekh, Thu N. Huynh, Jonathan Witztum, Ben Huang, David Rosenthal, Katherine Lopez, Mitchell H. Murdock, Haruhiko Bito, Logan Grosenick and Robert N. Fetcho. Their work appears in journals such as Journal of Visualized Experiments, Reliability Engineering & System Safety, Science, Journal of Neuroscience and Journal of Clinical Investigation.
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.