Danielle McBrian

792 citations
10 papers · 202 · h-index 8

Impact in

Papers in

Danielle McBrian

10 papers receiving 196 citations

Peers

Danielle McBrian
Comparison fields: 5 of 37
  • Psychiatry and Mental health 132
  • Pediatrics, Perinatology and Child Health 49
  • Neurology 38
  • Cognitive Neuroscience 32
  • Cellular and Molecular Neuroscience 23
Replace Betül Tekin Güveli with:
Betül Tekin Güveli Türkiye
Alexis Boro United States
David E. Friedman United States
William Alves Martins Brazil
Roberta Di Giacomo Italy
Teia Kobulashvili Austria
Giacomo Evangelista Italy
Colin Dunkley United Kingdom
Rajkumar Agarwal United States
Remi Stevelink Netherlands
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Citations per field
00.5×2.7×
Betül Tekin Güveli · 1×
Citations per year

Countries citing papers authored by Danielle McBrian

Since Specialization
Citations

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

Fields of papers citing papers by Danielle McBrian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle McBrian, 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 Danielle McBrian Line = papers co-authored together Danielle McBrian links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200760
2 201836
3 202033
4 201626
5 200913
6 20189
7 20228
8 20218
9 20215
10 20224

About Danielle McBrian

Danielle McBrian is a scholar working on Psychiatry and Mental health, Neurology, Infectious Diseases, Genetics and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 202 indexed citations. Recurring topics across this work include Epilepsy research and treatment (6 papers), Neonatal Health and Biochemistry (1 paper), Long-Term Effects of COVID-19 (1 paper), COVID-19 Clinical Research Studies (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Tuberous Sclerosis Complex Research (1 paper) and Glioma Diagnosis and Treatment (1 paper). The work is most often cited by research in Psychiatry and Mental health (132 citations), Pediatrics, Perinatology and Child Health (49 citations), Neurology (38 citations), Cognitive Neuroscience (32 citations) and Cellular and Molecular Neuroscience (23 citations). Danielle McBrian has collaborated with scholars based in United States and Brazil. Frequent co-authors include Maria Augusta Montenegro, Marilisa M. Guerreiro, Cigdem I. Akman, Neil A. Feldstein, Guy M. McKhann, Arthur M. Mandel, Brett E. Youngerman, Shih‐Hsiu J. Wang, Sameer A. Sheth and James J. Riviello. Their work appears in journals such as Epilepsy Research, Epilepsy & Behavior, Journal of Human Nutrition and Dietetics, Neurology and Journal of Neurosurgery Pediatrics.

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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