Alison Murphy

30 papers receiving 1.5k citations

Peers

Alison Murphy
Comparison fields: 5 of 135
  • Oncology 398
  • Hepatology 90
  • Genetics 100
  • Molecular Biology 666
  • Pulmonary and Respiratory Medicine 275
Replace Sarah Duff with:
Sarah Duff United Kingdom
Bart Jonckx Belgium
Pascal Chaubert Switzerland
Elizabeth A. McNiel United States
Ana Pardo–Saganta Spain
Minlong Shi China
Christiane Gerlach Germany
Atsunori Oga Japan
Ian B. Robertson United Kingdom
Licia Laurino Italy
Alison Murphy relative to Sarah Duff United Kingdom Sarah Duff's profile →
Citations per field
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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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004368
2 2004219
3 2006129
4 2015128
5 2008118
6 2007108
7 200492
8 201076
9 200666
10 200654
11
Use of complementary and alternative therapies by rural African Americans with type 2 diabetes.
200631
12 200628
13 200923
14 201022
15 201017
16 201617
17 201113
18 201011
19 202211
20 20109

About Alison Murphy

Alison Murphy is a scholar working on Hepatology, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), TGF-β signaling in diseases (7 papers), Hepatitis B Virus Studies (2 papers), interferon and immune responses (2 papers), HIV/AIDS drug development and treatment (2 papers), Cancer Cells and Metastasis (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Occupational and environmental lung diseases (2 papers). The work is most often cited by research in Oncology (398 citations), Hepatology (90 citations), Genetics (100 citations), Molecular Biology (666 citations) and Pulmonary and Respiratory Medicine (275 citations). Alison Murphy has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Linda S. Higgins, Sarvajit Chakravarty, Darren H. Wong, Sundeep Dugar, Andrew A. Protter, Ann M. Kapoun, Ying Jing, Joseph C. Hartman, Martin Uhl and Wolfgang Wick. Their work appears in journals such as Clinical Cancer Research, JAIDS Journal of Acquired Immune Deficiency Syndromes, Molecular Pharmacology, American Journal of Respiratory and Critical Care Medicine and The Journal of Infectious Diseases.

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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