Máirín Rafferty

1.1k citations
18 papers · 350 indexed · h-index 11
Topics
Melanoma and MAPK Pathways (5 papers)Cutaneous Melanoma Detection and Management (3 papers)Computational Drug Discovery Methods (2 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchBritish Journal of Cancer

In The Last Decade

Máirín Rafferty

17 papers receiving 337 citations

Peers

Máirín Rafferty
Comparison fields: 5 of 79
  • Molecular Biology 239
  • Oncology 98
  • Immunology 49
  • Cancer Research 45
  • Cell Biology 29
Replace Jin-Wan Park with:
Jin-Wan Park South Korea
Hongxiang Huang China
Dale A. Begley United States
Vinay V. Prabhu United States
Hannah Johnson United States
Alena Bačı́ková Czechia
Ahmed Dahmani France
Laura Turunen Finland
Un‐Beom Kang South Korea
Sathya Muralidhar United Kingdom
Máirín Rafferty relative to Jin-Wan Park South Korea Jin-Wan Park's profile →
Citations per field
00.5×4.3×
Jin-Wan Park · 1×
Citations per year

Countries citing papers authored by Máirín Rafferty

Since Specialization
Citations

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

Fields of papers citing papers by Máirín Rafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Máirín Rafferty

This figure shows the co-authorship network connecting the top 25 collaborators of Máirín Rafferty. A scholar is included among the top collaborators of Máirín Rafferty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Máirín Rafferty. Máirín Rafferty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 10
3 26
4 3
5 1
6 19
7 6
8 12
9 47
10 16
11 6
12 18
13
Real-time quantitative reverse transcriptase-polymerase chain reaction analysis of melanoma progression-associated genes.
1
14 107
15 18
16 4
17 41
18 15

About Máirín Rafferty

Máirín Rafferty is a scholar working on Computer Graphics and Computer-Aided Design, Molecular Biology and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 350 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (5 papers), Cutaneous Melanoma Detection and Management (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (13 citations), Oncology (98 citations) and Molecular Biology (239 citations). Máirín Rafferty has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Fergal C. Kelleher, D. Fennelly, William M. Gallagher, Gabriela Gremel, P. Dervan, Shauna Hegarty, William J. Faller, Gunhild M. Mælandsmo, Mario F. Fraga and Orla Bergin. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and British Journal of Cancer.

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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