Alison Murphy

28 papers receiving 1.5k citations

Peers

Alison Murphy
Comparison fields: 5 of 133
  • Oncology 368
  • Hepatology 89
  • Genetics 95
  • Molecular Biology 635
  • Pulmonary and Respiratory Medicine 269
Replace Sarah Duff with:
Sarah Duff United Kingdom
Leonard E. Grosso United States
Bart Jonckx Belgium
Ana Pardo–Saganta Spain
Pascal Chaubert Switzerland
Elizabeth A. McNiel United States
Aaron Bossler United States
Minlong Shi China
Ian B. Robertson United Kingdom
Atsunori Oga Japan
Alison Murphy relative to Sarah Duff United Kingdom Sarah Duff's profile →
Citations per field
00.5×2.9×
Sarah Duff · 1×
Citations per year

Countries citing papers authored by Alison Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Alison Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004351
2 2004212
3 2006124
4 2015116
5 2008115
6 2007103
7 200483
8 201071
9 200664
10 200651
11
Use of complementary and alternative therapies by rural African Americans with type 2 diabetes.
200631
12 200624
13 201022
14 200922
15 201017
16 201617
17 201113
18 202211
19 201010
20 20109

About Alison Murphy

Alison Murphy is a scholar working on Hepatology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), TGF-β signaling in diseases (6 papers), Hepatitis B Virus Studies (2 papers), interferon and immune responses (2 papers), HIV/AIDS drug development and treatment (2 papers), Genetic and phenotypic traits in livestock (2 papers), Occupational and environmental lung diseases (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Oncology (368 citations), Hepatology (89 citations), Genetics (95 citations), Molecular Biology (635 citations) and Pulmonary and Respiratory Medicine (269 citations). Alison Murphy has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Linda S. Higgins, Sarvajit Chakravarty, Sundeep Dugar, Darren H. Wong, Andrew A. Protter, Ann M. Kapoun, Ying Jing, Joseph C. Hartman, Ruban Mangadu and Markus Weiler. Their work appears in journals such as Clinical Cancer Research, Molecular Pharmacology, PLoS ONE, The Journal of Infectious Diseases and American Journal of Respiratory and Critical Care Medicine.

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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