S. Danielle Brown

17 papers receiving 703 citations

Peers

S. Danielle Brown
Comparison fields: 5 of 63
  • Critical Care and Intensive Care Medicine 220
  • Emergency Medicine 238
  • Neurology 334
  • Epidemiology 149
  • Pediatrics, Perinatology and Child Health 72
Replace Francesco Nonino with:
Francesco Nonino Italy
Cydni N. Williams United States
Edward Moss United Kingdom
Evie G. Marcolini United States
Marco Botteri Italy
Karen J. Chan United States
Karen J. McAllen United States
Aziz S. Alali Canada
Megan Y. Harada United States
Oliver Flower Australia
S. Danielle Brown relative to Francesco Nonino Italy Francesco Nonino's profile →
Citations per field
00.5×4.3×
Francesco Nonino · 1×
Citations per year

Countries citing papers authored by S. Danielle Brown

Since Specialization
Citations

This map shows the geographic impact of S. Danielle Brown'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 S. Danielle Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Danielle Brown more than expected).

Fields of papers citing papers by S. Danielle Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Danielle Brown. 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 S. Danielle Brown. The network helps show where S. Danielle Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside S. Danielle Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Danielle Brown Line = papers co-authored together S. Danielle Brown links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2005214
2 2013156
3 199891
4 201158
5 201233
6 201532
7 200832
8 199921
9 200521
10 200920
11 201013
12 201511
13 19997
14 20203
15 20093
16
An Investigation of the Relationship between Linear Attenuation Coefficients and CT Hounsfield Units
20062
17 20222
18 19781

About S. Danielle Brown

S. Danielle Brown is a scholar working on Neurology, Critical Care and Intensive Care Medicine, Surgery, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 720 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Thermal Regulation in Medicine (4 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Cardiac Arrest and Resuscitation (2 papers), Child Abuse and Related Trauma (1 paper), Advanced X-ray and CT Imaging (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Wound Healing and Treatments (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (220 citations), Emergency Medicine (238 citations), Neurology (334 citations), Epidemiology (149 citations) and Pediatrics, Perinatology and Child Health (72 citations). S. Danielle Brown has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include P. David Adelson, Sue R. Beers, Donald W. Marion, J. Paul Muizelaar, Richard Henker, Yue‐Fang Chang, Michael J. Bell, Stephen R. Wisniewski, Laura D. Cassidy and John Ragheb. Their work appears in journals such as Pediatric Critical Care Medicine, Journal of Neurosurgery Pediatrics, Neurosurgery, Rural and Remote Health and Child s Nervous System.

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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