N. Hamblett

1.1k citations
18 papers · 824 indexed · h-index 11

Impact in

Papers in

N. Hamblett

17 papers receiving 796 citations

Peers

N. Hamblett
Comparison fields: 5 of 79
  • Pulmonary and Respiratory Medicine 508
  • Molecular Medicine 47
  • Genetics 170
  • Microbiology 35
  • Epidemiology 194
Replace Marie Johannesson with:
Marie Johannesson Sweden
Vladana Milisavljevic United States
Oded Breuer Israel
Hans‐Peter Hauber Germany
Joshua C. Eby United States
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Citations per field
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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 2004292
2 2003243
3 200372
4 201249
5 201136
6 202131
7 200131
8 200920
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
201315
10 202013
11
Asymptotics for Marginal Generalized Linear Models With Sparse Correlations
200312
12 20215
13 20231
14 20231
15 20191
16 20011
17 20091
18 20250

About N. Hamblett

N. Hamblett is a scholar working on Pulmonary and Respiratory Medicine, Molecular Medicine, Endocrinology, Speech and Hearing and Emergency Medical Services, having authored 18 papers that have together received 824 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (11 papers), Neonatal Respiratory Health Research (3 papers), Respiratory viral infections research (3 papers), Spinal Dysraphism and Malformations (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Asthma and respiratory diseases (2 papers), Infections and bacterial resistance (1 paper) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (508 citations), Molecular Medicine (47 citations), Genetics (170 citations), Microbiology (35 citations) and Epidemiology (194 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, David M. Rodman, Moira L. Aitken, Carlos Milla, L. Terry Spencer and John P. Clancy. Their work appears in journals such as Journal of Cystic Fibrosis, Pediatric Pulmonology, The Pediatric Infectious Disease Journal, American Journal of Respiratory and Critical Care Medicine and Clinical Infectious Diseases.

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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