Lyn M. Moir

38 papers receiving 1.2k citations

Peers

Lyn M. Moir
Comparison fields: 5 of 93
  • Physiology 522
  • Immunology and Allergy 95
  • Pulmonary and Respiratory Medicine 354
  • Sensory Systems 44
  • Immunology 191
Replace Varsha Kanabar with:
Varsha Kanabar United Kingdom
Kan Terawaki Japan
Angela Treis Switzerland
Paul‐André Risse Canada
Dongyao Yan United States
Teruaki Nishiuma Japan
Elisa Gili Italy
Mark F. Lawson United Kingdom
Michele Columbo United States
Joy Sarkar United States
Lyn M. Moir relative to Varsha Kanabar United Kingdom Varsha Kanabar's profile →
Citations per field
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Varsha Kanabar · 1×
Citations per year

Countries citing papers authored by Lyn M. Moir

Since Specialization
Citations

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

Fields of papers citing papers by Lyn M. Moir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lyn M. Moir. 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 Lyn M. Moir. The network helps show where Lyn M. Moir may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004179
2 201171
3 200168
4 200958
5 200357
6 200656
7 200850
8 201047
9 200844
10 201042
11 201240
12 201240
13 201933
14 201228
15 201527
16 200926
17 202022
18 201122
19 201222
20 201122

About Lyn M. Moir

Lyn M. Moir is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Immunology and Allergy, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (15 papers), Tuberous Sclerosis Complex Research (7 papers), Inhalation and Respiratory Drug Delivery (4 papers), Cell Adhesion Molecules Research (4 papers), Vascular Tumors and Angiosarcomas (4 papers), RNA Interference and Gene Delivery (3 papers), Mast cells and histamine (3 papers) and Respiratory and Cough-Related Research (3 papers). The work is most often cited by research in Physiology (522 citations), Immunology and Allergy (95 citations), Pulmonary and Respiratory Medicine (354 citations), Sensory Systems (44 citations) and Immunology (191 citations). Lyn M. Moir has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Janette K. Burgess, Judith L. Black, Brian G. Oliver, Stuart J. Hirst, Qi Ge, Thomas Trian, Trang T.B. Nguyen, Matthew P. Hallsworth, Paul M. Young and Dilys Lai. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Pulmonary Pharmacology & Therapeutics, PLoS ONE, Nanomedicine 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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