Eimear Cleary

56 papers receiving 1.6k citations

Peers

Eimear Cleary
Comparison fields: 5 of 144
  • Immunology and Allergy 268
  • Genetics 892
  • Cancer Research 400
  • Modeling and Simulation 82
  • Cell Biology 248
Replace Johannes Fischer with:
Johannes Fischer Germany
Pascal Sommer France
Citra Nurfarah Zaini Mattar Singapore
Menachem Bitan Israel
Jill Dixon United Kingdom
Min Yu China
Silvia Di Cesare Italy
Kelvin A. Moses United States
Hideya Kitamura Japan
Masami Fujita Japan
Eimear Cleary relative to Johannes Fischer Germany Johannes Fischer's profile →
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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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966212
2 1989179
3 1986118
4 1994112
5 1991108
6 196775
7 202272
8
The tissue distribution of microfibrils reacting with a monospecific antibody to MAGP, the major glycoprotein antigen of elastin-associated microfibrils.
198967
9 197556
10 198255
11 197855
12 198548
13 198146
14 202146
15 199142
16 201438
17 201736
18 201531
19
Elastin gene expression in elastotic human breast cancers and epithelial cell lines.
199029
20 202027

About Eimear Cleary

Eimear Cleary is a scholar working on Modeling and Simulation, Genetics, Transportation, Clinical Psychology and Cancer Research, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Connective tissue disorders research (17 papers), COVID-19 epidemiological studies (9 papers), Suicide and Self-Harm Studies (7 papers), Protease and Inhibitor Mechanisms (7 papers), Aortic aneurysm repair treatments (4 papers), Mental Health Treatment and Access (4 papers), Data-Driven Disease Surveillance (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Immunology and Allergy (268 citations), Genetics (892 citations), Cancer Research (400 citations), Modeling and Simulation (82 citations) and Cell Biology (248 citations). Eimear Cleary has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include L.B. Sandberg, Mark A. Gibson, Jaliya Kumaratilake, Joseph C. Fanning, Wolf H. Fahrenbach, David S. Jackson, Mark Gibson, Janice L. Hughes, Walter J. Cliff and Leonard E. Grosso. Their work appears in journals such as Journal of Biological Chemistry, Wellcome Open Research, Nature Communications, Irish Journal of Psychological Medicine and Journal of Histochemistry & Cytochemistry.

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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