Danielle Smith

717 citations
7 papers · 99 · h-index 4

Impact in

Papers in

Danielle Smith

7 papers receiving 95 citations

Peers

Danielle Smith
Comparison fields: 5 of 29
  • Pediatrics, Perinatology and Child Health 58
  • Obstetrics and Gynecology 18
  • Endocrine and Autonomic Systems 13
  • Pulmonary and Respiratory Medicine 17
  • Public Health, Environmental and Occupational Health 11
Replace Pascale Nakad with:
Pascale Nakad Lebanon
Michèle Granier France
J. Rhoades United States
Gebresilasea Gendisha Ukke Ethiopia
Stuti Pant United Kingdom
Walusa Assad Gonçalves‐Ferri Brazil
Leith Poulsen Australia
Clinton Mitchell New Zealand
Richard V. Rector United States
Álvaro Ruiz-Zambrana Spain
Danielle Smith relative to Pascale Nakad Lebanon Pascale Nakad's profile →
Citations per field
00.5×1.5×2.3×
Pascale Nakad · 1×
Citations per year

Countries citing papers authored by Danielle Smith

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202033
2 202023
3 201820
4 201918
5 20242
6 20082
7 20231

About Danielle Smith

Danielle Smith is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Virology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 99 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (3 papers), COVID-19 Impact on Reproduction (1 paper), Vibrio bacteria research studies (1 paper), Prenatal Substance Exposure Effects (1 paper), Neonatal Respiratory Health Research (1 paper), Neuroscience of respiration and sleep (1 paper), Rabies epidemiology and control (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (58 citations), Obstetrics and Gynecology (18 citations), Endocrine and Autonomic Systems (13 citations), Pulmonary and Respiratory Medicine (17 citations) and Public Health, Environmental and Occupational Health (11 citations). Danielle Smith has collaborated with scholars based in United States and Canada. Frequent co-authors include An N. Massaro, Rakesh Rao, Girija Natarajan, Regina Reynolds, Robert M. Dietz, Anne M. Hall, Edwin J. Asturias, Robert DiGeronimo, Sunah S. Hwang and Amit Mathur. Their work appears in journals such as Hospital Pediatrics, The Pediatric Infectious Disease Journal, BMC Pediatrics, Pediatric Neurology and Neonatology.

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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