Ian MacLusky

3.1k citations
47 papers · 2.0k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Ian MacLusky

47 papers receiving 1.9k citations

Hit Papers

Pseudomonas cepacia infection in cystic fibrosis: An emerging problem 1984 · 709 citations
7091984202619982012200400600

Peers

Ian MacLusky
Comparison fields: 5 of 114
  • Pulmonary and Respiratory Medicine 1.3k
  • Endocrinology 193
  • Molecular Medicine 141
  • Genetics 299
  • Endocrine and Autonomic Systems 108
Replace Daniel V. Schidlow with:
Daniel V. Schidlow United States
A Olinsky Australia
Alexander Spock United States
P J Berry United Kingdom
Paul M. Taylor United States
Christine Sullivan United States
Tobias Strunk Australia
Laura Becker United States
Chyong-Hsin Hsu Taiwan
Iolo Doull United Kingdom
Ian MacLusky relative to Daniel V. Schidlow United States Daniel V. Schidlow's profile →
Citations per field
00.5×4.2×
Daniel V. Schidlow · 1×
Citations per year

Countries citing papers authored by Ian MacLusky

Since Specialization
Citations

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

Fields of papers citing papers by Ian MacLusky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20217
2 20205
3 201810
4 201719
5 201711
6 201213
7 20111
8 201119
9 201052
10 200937
11 200858
12 200637
13 200649
14 2005125
15 200464
16 200319
17 199764
18 199512
19 199413
20 19932

About Ian MacLusky

Ian MacLusky is a scholar working on Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Genetics, Critical Care and Intensive Care Medicine and Speech and Hearing, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (11 papers), Tracheal and airway disorders (11 papers), Neonatal Respiratory Health Research (11 papers), Cystic Fibrosis Research Advances (9 papers), Neuroscience of respiration and sleep (9 papers), Vascular Anomalies and Treatments (7 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Congenital Diaphragmatic Hernia Studies (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.3k citations), Endocrinology (193 citations), Molecular Medicine (141 citations), Genetics (299 citations) and Endocrine and Autonomic Systems (108 citations). Ian MacLusky has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Henry Levison, Ronald Gold, Alan Isles, Mary Corey, Peter Fleming, Charles G. Prober, Mary Corey, Reshma Amin, Faiza Syed and Meir Mei‐Zahav. Their work appears in journals such as Pediatric Pulmonology, The Journal of Pediatrics, Journal of Developmental & Behavioral Pediatrics, Archives of Disease in Childhood and Pediatric Allergy and Immunology.

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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