Liam M. Casey

832 citations
12 papers · 683 · h-index 9

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • RNA Interference and Gene Delivery 2

Liam M. Casey

12 papers receiving 676 citations

Peers

Liam M. Casey
Comparison fields: 5 of 80
  • Immunology 251
  • Hematology 75
  • Cardiology and Cardiovascular Medicine 126
  • Molecular Biology 320
  • Immunology and Allergy 26
Replace Caroline Lemieux with:
Caroline Lemieux Canada
Masako Harada Japan
Elazer R. Edelman United States
Jenny Zilberberg United States
F. Lejeune Switzerland
Stéphanie Meier Germany
Kim Stecker United States
Ann McCormack United Kingdom
Rebeca Galisteo United States
Steve Swenson United States
Liam M. Casey relative to Caroline Lemieux Canada Caroline Lemieux's profile →
Citations per field
00.5×3.3×
Caroline Lemieux · 1×
Citations per year

Countries citing papers authored by Liam M. Casey

Since Specialization
Citations

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

Fields of papers citing papers by Liam M. Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2007119
2 2010114
3 201791
4 200687
5 201777
6 201772
7 201963
8 202234
9 202210
10 20168
11 20037
12 20081

About Liam M. Casey

Liam M. Casey is a scholar working on Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology and Hematology, having authored 12 papers that have together received 683 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), RNA Interference and Gene Delivery (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Microtubule and mitosis dynamics (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Immunology (251 citations), Hematology (75 citations), Cardiology and Cardiovascular Medicine (126 citations), Molecular Biology (320 citations) and Immunology and Allergy (26 citations). Liam M. Casey has collaborated with scholars based in United States and Germany. Frequent co-authors include Ryan M. Pearson, Lonnie D. Shea, Kevin R. Hughes, Stephen D. Miller, Burns C. Blaxall, Leon Wang, Eui‐Sic Cho, Yu Lan, Rulang Jiang and Kathleen M. Maltby. Their work appears in journals such as Biomaterials, Circulation, Molecular Therapy, Biotechnology and Bioengineering and Circulation Research.

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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