Eimear Cleary

2.4k citations
52 papers · 1.8k · h-index 23

Impact in

Papers in

Eimear Cleary

49 papers receiving 1.7k citations

Peers

Eimear Cleary
Comparison fields: 5 of 148
  • Immunology and Allergy 268
  • Genetics 896
  • Cancer Research 404
  • Modeling and Simulation 96
  • Cell Biology 259
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Wanjun Chen China
Frank B. Niessen Netherlands
Sanjay Kumar India
Dragan Primorac Croatia
Yong Cui China
Aaron Daluiski United States
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Tanya J. Shaw United Kingdom
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Citations per year

Countries citing papers authored by Eimear Cleary

Since Specialization
Citations

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

Fields of papers citing papers by Eimear Cleary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967229
2 1966200
3 1989164
4 1986108
5 1994106
6 199199
7 196768
8 202267
9
The tissue distribution of microfibrils reacting with a monospecific antibody to MAGP, the major glycoprotein antigen of elastin-associated microfibrils.
198960
10 197554
11 198251
12 197850
13 198547
14 198143
15 202141
16 199136
17 201435
18 201731
19
Elastin gene expression in elastotic human breast cancers and epithelial cell lines.
199027
20 196727

About Eimear Cleary

Eimear Cleary is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Modeling and Simulation, Cancer Research and Infectious Diseases, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Connective tissue disorders research (17 papers), Protease and Inhibitor Mechanisms (7 papers), COVID-19 epidemiological studies (7 papers), Cell Adhesion Molecules Research (4 papers), Aortic aneurysm repair treatments (4 papers), Malaria Research and Control (4 papers), Mosquito-borne diseases and control (4 papers) and Down syndrome and intellectual disability research (3 papers). The work is most often cited by research in Immunology and Allergy (268 citations), Genetics (896 citations), Cancer Research (404 citations), Modeling and Simulation (96 citations) and Cell Biology (259 citations). Eimear Cleary has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David S. Jackson, L.B. Sandberg, Mark A. Gibson, Jaliya Kumaratilake, Joseph C. Fanning, Wolf H. Fahrenbach, Mark Gibson, Janice Hughes, W. J. Cliff and Leonard E. Grosso. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Malaria Journal, International Journal of Applied Earth Observation and Geoinformation and The Journal of Cell Biology.

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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