Jennifer L. Perret

9.3k citations
122 papers · 5.2k indexed · 3 hit papers · h-index 28

Jennifer L. Perret

119 papers receiving 5.0k citations

Hit Papers

Epidemiology of Asthma in Children and Adults736201420262018202250010001.5k

Peers

Jennifer L. Perret
Comparison fields: 5 of 168
  • Endocrine and Autonomic Systems 1.3k
  • Physiology 3.1k
  • Speech and Hearing 696
  • Health, Toxicology and Mutagenesis 899
  • Pulmonary and Respiratory Medicine 1.8k
Replace Fanny W.S. Ko with:
Fanny W.S. Ko Hong Kong
G Boman Sweden
Melanie C. Matheson Australia
Karl A. Franklin Sweden
Duane L. Sherrill United States
Adrian J. Lowe Australia
Þórarinn Gíslason Iceland
Eva Lindberg Sweden
Noé Zamel Canada
E. Björnsson Sweden
Jennifer L. Perret relative to Fanny W.S. Ko Hong Kong Fanny W.S. Ko's profile →
Citations per field
00.5×1.5×2.2×
Fanny W.S. Ko · 1×
Citations per year

Countries citing papers authored by Jennifer L. Perret

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer L. Perret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer L. Perret. 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 Jennifer L. Perret. The network helps show where Jennifer L. Perret may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20241
5 202412
6 202313
7 20233
8 20235
9 202313
10 202310
11 20221
12 202215
13 20229
14 20224
15 202114
16 202115
17 202018
18 202013
19
CHILDHOOD MEASLES IS ASSOCIATED WITH LOWER RISK OF ADULT ATOPIC ASTHMA IN THE TAHS COHORT, BUT ONLY AMONG THOSE WHO HAD CHILDHOOD ECZEMA
20191
20 201291

About Jennifer L. Perret

Jennifer L. Perret is a scholar working on Endocrine and Autonomic Systems, Speech and Hearing and Physiology, having authored 122 papers that have together received 5.2k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (38 papers), Asthma and respiratory diseases (35 papers), Air Quality and Health Impacts (21 papers), Respiratory and Cough-Related Research (14 papers), Obstructive Sleep Apnea Research (13 papers), Neuroscience of respiration and sleep (13 papers), Neonatal Respiratory Health Research (11 papers) and Allergic Rhinitis and Sensitization (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.3k citations), Physiology (3.1k citations) and Speech and Hearing (696 citations). Jennifer L. Perret has collaborated with scholars based in Australia, Sri Lanka and United States. Frequent co-authors include Shyamali C. Dharmage, Caroline Lodge, Adrian J. Lowe, Melanie C. Matheson, Garun S. Hamilton, Chamara V. Senaratna, Adnan Ćustović, Brittany Campbell, Michael J. Abramson and Gayan Bowatte. Their work appears in journals such as Respirology, Sleep Medicine Reviews, Thorax, ERJ Open Research and Journal of Allergy and Clinical 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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