MG Molloy

559 total citations
10 papers, 450 citations indexed

About

MG Molloy is a scholar working on Immunology, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, MG Molloy has authored 10 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Rheumatology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in MG Molloy's work include Systemic Lupus Erythematosus Research (4 papers), T-cell and B-cell Immunology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). MG Molloy is often cited by papers focused on Systemic Lupus Erythematosus Research (4 papers), T-cell and B-cell Immunology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). MG Molloy collaborates with scholars based in Ireland, United Kingdom and United States. MG Molloy's co-authors include Claire Adams, Fergal O’Gara, Fergus Shanahan, Frank Waldron-Lynch, Michael McDermott, Christopher I. Amos, Daniel O. Clegg, Dianjun Zhu, R. H. Ward and Katherine M. Sheehan and has published in prestigious journals such as Journal of Medical Genetics, Lara D. Veeken and Immunogenetics.

In The Last Decade

MG Molloy

10 papers receiving 433 citations

Peers

MG Molloy
Comparison fields: 5 of 75
  • Rheumatology 197
  • Immunology 172
  • Radiology, Nuclear Medicine and Imaging 68
  • Molecular Biology 59
  • Epidemiology 50
Replace Michael G. Cohen with:
Michael G. Cohen Australia
Scott A. Vogelgesang United States
J. M. W. Hazes Netherlands
Andrew Cairns United Kingdom
Jakub Ząbek Poland
Roberto Marini Brazil
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Ayman El-Garf Egypt
Gary L. Klipple United States
Michael G. Cohen Australia View profile →
Citations per field, relative to MG Molloy
MG Molloy · 1×
Citations per year, relative to MG Molloy
MG Molloy · 1×

Countries citing papers authored by MG Molloy

Since Specialization
Citations

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

Fields of papers citing papers by MG Molloy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MG Molloy

This figure shows the co-authorship network connecting the top 25 collaborators of MG Molloy. A scholar is included among the top collaborators of MG Molloy 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 MG Molloy. MG Molloy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 79
2 30
3 41
4 65
5 16
6 24
7
Genetic variability in the tumor necrosis factor-lymphotoxin region influences susceptibility to rheumatoid arthritis.
140
8 31
9 20
10 4

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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