J E Murphy-Ullrich

1.1k citations
16 papers · 948 · h-index 10

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 3
    • Fibroblast Growth Factor Research 2
    • Skin and Cellular Biology Research 2
    • Proteoglycans and glycosaminoglycans research 2

J E Murphy-Ullrich

15 papers receiving 926 citations

Peers

J E Murphy-Ullrich
Comparison fields: 5 of 74
  • Immunology and Allergy 306
  • Cell Biology 281
  • Cancer Research 206
  • Hematology 110
  • Molecular Biology 523
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Citations per year

Countries citing papers authored by J E Murphy-Ullrich

Since Specialization
Citations

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

Fields of papers citing papers by J E Murphy-Ullrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J E Murphy-Ullrich. 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 J E Murphy-Ullrich. The network helps show where J E Murphy-Ullrich may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1991256
2 1992224
3 1996129
4 1987124
5 198575
6
Pathogenesis of glomerulosclerosis in light chain deposition disease. Role for transforming growth factor-beta.
199564
7 200119
8 198112
9 200412
10
Growth and maintenance of glomerular cells under defined conditions.
198010
11
The growth of primary glomerular cells as a confluent monolayer in a chemically defined serum-free medium: specific requirements for prostaglandins and extracellular matrix molecules.
19817
12 19856
13
Morphologic and immunofluorescence studies of the effect of fibroblast growth factor on the culture of guinea pig glomerular cell strains.
19815
14 20124
15 20061
16 20010

About J E Murphy-Ullrich

J E Murphy-Ullrich is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Surgery and Rheumatology, having authored 16 papers that have together received 948 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Angiogenesis and VEGF in Cancer (3 papers), Skin and Cellular Biology Research (2 papers), Blood properties and coagulation (2 papers), Fibroblast Growth Factor Research (2 papers), Hemostasis and retained surgical items (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Immunology and Allergy (306 citations), Cell Biology (281 citations), Cancer Research (206 citations), Hematology (110 citations) and Molecular Biology (523 citations). J E Murphy-Ullrich has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Stacey Schultz‐Cherry, Magnus Höök, D F Mosher, Alan Wells, DF Mosher, Zhiqiang Huang, Paul W. Sanders, Guillermo A. Herrera, Terry D. Oberley and Annie Chung. Their work appears in journals such as The Journal of Cell Biology, Biochemical Society Transactions, Matrix Biology, Blood and Journal of Histochemistry & Cytochemistry.

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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