Fiona Murray

7.0k citations
96 papers · 3.8k · h-index 31

Impact in

  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
    • Caveolin-1 and cellular processes

Papers in

    • Phosphodiesterase function and regulation 9
    • Receptor Mechanisms and Signaling 8
    • Chronic Lymphocytic Leukemia Research 17

Fiona Murray

93 papers receiving 3.7k citations

Peers

Fiona Murray
Comparison fields: 5 of 158
  • Genetics 519
  • Cell Biology 613
  • Pathology and Forensic Medicine 402
  • Molecular Biology 1.7k
  • Immunology 481
Replace Päivi Heikkilä with:
Päivi Heikkilä Finland
Francis L. Munier Switzerland
Charles S. Abrams United States
Birgit Funke United States
Fergus J. Couch United States
Maryam Mehrpour France
Xiaopei Gao United States
Alok Kumar India
John S. Hill United States
Yongzhi Wang China
Fiona Murray relative to Päivi Heikkilä Finland Päivi Heikkilä's profile →
Citations per field
00.5×3.4×
Päivi Heikkilä · 1×
Citations per year

Countries citing papers authored by Fiona Murray

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007361
2 2006233
3 2007224
4 2011175
5 2012140
6 2012136
7 2008135
8 2007128
9 2002112
10 2007102
11 201897
12 201595
13 200985
14 200883
15 201478
16 201178
17 200678
18 201278
19 201176
20 201076

About Fiona Murray

Fiona Murray is a scholar working on Molecular Biology, Genetics, Immunology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 96 papers that have together received 3.8k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (17 papers), Pulmonary Hypertension Research and Treatments (12 papers), Phosphodiesterase function and regulation (9 papers), Receptor Mechanisms and Signaling (8 papers), Caveolin-1 and cellular processes (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers) and Innovation Policy and R&D (6 papers). The work is most often cited by research in Genetics (519 citations), Cell Biology (613 citations), Pathology and Forensic Medicine (402 citations), Molecular Biology (1.7k citations) and Immunology (481 citations). Fiona Murray has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Paul A. Insel, Hemal H. Patel, Brian P. Head, Hiroshi Yokouchi, Ingrid R. Niesman, David M. Roth, Richard Rosenquist, Margaret R. MacLean, Nigel J. Pyne and Timo Rieg. Their work appears in journals such as The FASEB Journal, Blood, British Journal of Pharmacology, Proceedings of the National Academy of Sciences and Leukemia.

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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