Madeline Murphy

3.3k citations
54 papers · 2.7k · h-index 26

Impact in

Papers in

    • Connective Tissue Growth Factor Research 9
    • Renal and related cancers 7
    • TGF-β signaling in diseases 6
    • Genetic and phenotypic traits in livestock 6

Madeline Murphy

53 papers receiving 2.6k citations

Peers

Madeline Murphy
Comparison fields: 5 of 116
  • Nephrology 371
  • Agronomy and Crop Science 378
  • Clinical Biochemistry 153
  • Molecular Biology 1.4k
  • Genetics 544
Replace Koumei Shirasuna with:
Koumei Shirasuna Japan
Toru Inoue Japan
James D. Jones United States
Qi Cao China
Martin J. Fettman United States
Richard J. Johnson United States
Timothy K. Cooper United States
Lin Bai China
Ranjit S. Parhar Saudi Arabia
W. June Brickey United States
Madeline Murphy relative to Koumei Shirasuna Japan Koumei Shirasuna's profile →
Citations per field
00.5×3.3×
Koumei Shirasuna · 1×
Citations per year

Countries citing papers authored by Madeline Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Madeline Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999337
2 2010270
3 1990173
4 2013138
5 2002134
6 2015134
7 1991119
8 2000117
9 2005107
10 2005100
11 201197
12 200288
13 200582
14 200378
15 200855
16 200639
17 200434
18 201134
19 201033
20 199833

About Madeline Murphy

Madeline Murphy is a scholar working on Molecular Biology, Genetics, Nephrology, Agronomy and Crop Science and Cancer Research, having authored 54 papers that have together received 2.7k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (12 papers), Reproductive Physiology in Livestock (9 papers), Connective Tissue Growth Factor Research (9 papers), Renal and related cancers (7 papers), Genetic and phenotypic traits in livestock (6 papers), TGF-β signaling in diseases (6 papers), Advanced Glycation End Products research (4 papers) and Parathyroid Disorders and Treatments (4 papers). The work is most often cited by research in Nephrology (371 citations), Agronomy and Crop Science (378 citations), Clinical Biochemistry (153 citations), Molecular Biology (1.4k citations) and Genetics (544 citations). Madeline Murphy has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Catherine Godson, Finian Martin, Hugh R. Brady, M.P. Boland, Neil G. Docherty, J. F. Roche, Harald S. Mackenzie, Fiachra Rowan, P. R. O’Connell and Thomas Brendan Murphy. Their work appears in journals such as Journal of the American Society of Nephrology, Journal of Biological Chemistry, Current Opinion in Nephrology & Hypertension, The FASEB Journal and Theriogenology.

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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