N. Hamblett

1.1k citations
18 papers · 904 · h-index 11

Impact in

Papers in

N. Hamblett

18 papers receiving 841 citations

Peers

N. Hamblett
Comparison fields: 5 of 79
  • Pulmonary and Respiratory Medicine 515
  • Molecular Medicine 39
  • Genetics 171
  • Epidemiology 172
  • Infectious Diseases 94
Replace Shelley M. Lawrence with:
Shelley M. Lawrence United States
Lídia Perea Spain
Florence Dupuit France
Guillermo Suárez-Cuartín Spain
Gisele A. Lombard United States
Daniel Lazzareschi United States
David C. Gaston United States
Oded Breuer Israel
Terrence O’Day United States
Isabelle Honoré France
N. Hamblett relative to Shelley M. Lawrence United States Shelley M. Lawrence's profile →
Citations per field
00.5×7.8×
Shelley M. Lawrence · 1×
Citations per year

Countries citing papers authored by N. Hamblett

Since Specialization
Citations

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

Fields of papers citing papers by N. Hamblett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2004317
2 2003262
3 200381
4 201255
5 201142
6 200135
7 202135
8 200923
9
PHASE 3 EFFICACY AND SAFETY DATA FROM RANDOMIZED, MULTICENTER STUDY OF LIPOSOMAL AMIKACIN FOR INHALATION (ARIKACE) COMPARED WITH TOBI (R) IN CYSTIC FIBROSIS PATIENTS WITH CHRONIC INFECTION DUE TO PSEUDOMONAS AERUGINOSA
201316
10 202013
11
Asymptotics for Marginal Generalized Linear Models With Sparse Correlations
200313
12 20216
13 20231
14 20251
15 20231
16 20091
17 20191
18 20011

About N. Hamblett

N. Hamblett is a scholar working on Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Infectious Diseases, Surgery and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 904 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (9 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Adolescent and Pediatric Healthcare (1 paper), Lymphatic Disorders and Treatments (1 paper), Inhalation and Respiratory Drug Delivery (1 paper), Pneumonia and Respiratory Infections (1 paper), Respiratory viral infections research (1 paper) and Pediatric health and respiratory diseases (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (515 citations), Molecular Medicine (39 citations), Genetics (171 citations), Epidemiology (172 citations) and Infectious Diseases (94 citations). N. Hamblett has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Bonnie W. Ramsey, Pamela L. Zeitlin, David Waltz, Richard B. Moss, Margaret Rosenfeld, Moira L. Aitken, David M. Rodman, John P. Clancy, Alison E. Heald and L. Terry Spencer. Their work appears in journals such as Journal of Cystic Fibrosis, Pediatric Pulmonology, The Pediatric Infectious Disease Journal, Clinical Infectious Diseases and CHEST Journal.

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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