Daniel Shaver

888 total citations · 1 hit paper
9 papers, 670 citations indexed

About

Daniel Shaver is a scholar working on Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Shaver has authored 9 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pediatrics, Perinatology and Child Health, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Shaver's work include Neonatal and fetal brain pathology (3 papers), Reliability and Maintenance Optimization (2 papers) and Software Reliability and Analysis Research (2 papers). Daniel Shaver is often cited by papers focused on Neonatal and fetal brain pathology (3 papers), Reliability and Maintenance Optimization (2 papers) and Software Reliability and Analysis Research (2 papers). Daniel Shaver collaborates with scholars based in United States, New Zealand and Nigeria. Daniel Shaver's co-authors include Lara Nellissen, David Rosenthal, Haruhiko Bito, Ben Huang, Robert N. Fetcho, Karl Deisseroth, Haruo Kasai, Teresa A. Milner, Thu N. Huynh and Jonathan Witztum and has published in prestigious journals such as Science, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Daniel Shaver

9 papers receiving 664 citations

Hit Papers

Sustained rescue of prefrontal circuit dysfunction by ant... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Shaver United States 7 259 222 194 124 104 9 670
Michal Taler Israel 16 214 0.8× 255 1.1× 102 0.5× 53 0.4× 79 0.8× 37 835
Angelos Halaris United States 10 149 0.6× 229 1.0× 100 0.5× 26 0.2× 126 1.2× 33 757
Laura Jiménez-Sánchez Spain 13 426 1.6× 158 0.7× 433 2.2× 59 0.5× 185 1.8× 22 868
Myoung-Jin Choi South Korea 11 296 1.1× 142 0.6× 180 0.9× 30 0.2× 119 1.1× 11 603
Isabelle Leroux‐Nicollet France 20 600 2.3× 104 0.5× 73 0.4× 66 0.5× 96 0.9× 40 1.0k
H.K. Manji United States 10 306 1.2× 136 0.6× 44 0.2× 68 0.5× 138 1.3× 18 829
Beata Planeta United States 15 305 1.2× 84 0.4× 260 1.3× 35 0.3× 200 1.9× 26 740
Georg Nikisch Germany 12 203 0.8× 130 0.6× 99 0.5× 82 0.7× 47 0.5× 17 588
Ahmad A. Khundakar United Kingdom 20 221 0.9× 139 0.6× 100 0.5× 18 0.1× 196 1.9× 34 886
Anna Schuhmacher Germany 18 215 0.8× 115 0.5× 52 0.3× 29 0.2× 192 1.8× 26 731

Countries citing papers authored by Daniel Shaver

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Shaver

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Shaver. A scholar is included among the top collaborators of Daniel Shaver based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Shaver. Daniel Shaver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Murdock, Mitchell H., Puja K. Parekh, Robert N. Fetcho, et al.. (2019). Sustained rescue of prefrontal circuit dysfunction by antidepressant-induced spine formation. Science. 364(6436). 461 indexed citations breakdown →
2.
Srivastava, Taasin, Parham Diba, Justin M. Dean, et al.. (2018). A TLR/AKT/FoxO3 immune tolerance–like pathway disrupts the repair capacity of oligodendrocyte progenitors. Journal of Clinical Investigation. 128(5). 2025–2041. 43 indexed citations
3.
McClendon, Evelyn, Daniel Shaver, Xi Gong, et al.. (2017). Transient Hypoxemia Chronically Disrupts Maturation of Preterm Fetal Ovine Subplate Neuron Arborization and Activity. Journal of Neuroscience. 37(49). 11912–11929. 60 indexed citations
4.
Hagen, Matthew, Art Riddle, Evelyn McClendon, et al.. (2014). Role of Recurrent Hypoxia-Ischemia in Preterm White Matter Injury Severity. PLoS ONE. 9(11). e112800–e112800. 30 indexed citations
5.
Scalettar, Bethe A., Daniel Shaver, Stefanie Kaech, & Janis E. Lochner. (2014). Super-resolution Imaging of Neuronal Dense-core Vesicles. Journal of Visualized Experiments. 3 indexed citations
6.
Scalettar, Bethe A., Daniel Shaver, Stefanie Kaech, & Janis E. Lochner. (2014). Super-resolution Imaging of Neuronal Dense-core Vesicles. Journal of Visualized Experiments. 1 indexed citations
7.
McClendon, Evelyn, Kevin Chen, Xi Gong, et al.. (2014). Prenatal cerebral ischemia triggers dysmaturation of caudate projection neurons. Annals of Neurology. 75(4). 508–524. 54 indexed citations
8.
Kaplan, S., et al.. (2002). A Bayesian methodology for assessing reliability during product development. 205–209. 10 indexed citations
9.
Kaplan, Stan, et al.. (1989). A methodology for assessing the reliability of ‘boxes’. Reliability Engineering & System Safety. 26(3). 249–269. 8 indexed citations

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.

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