Mark J. Murray

5.2k citations
31 papers · 4.7k · 4 hit papers · h-index 24

Impact in

Papers in

Mark J. Murray

31 papers receiving 4.4k citations

Mark J. Murray's Hit Papers

PDGF and FGF stimulate wound healing in the genetically diabetic mouse. 1990 · 629 citations
6290+15+30Years since publication200400600

Peers

Mark J. Murray
Comparison fields: 5 of 116
  • Rehabilitation 580
  • Immunology and Allergy 335
  • Hematology 506
  • Oncology 888
  • Cancer Research 444
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Citations per year

Countries citing papers authored by Mark J. Murray

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark J. 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 Mark J. Murray Line = papers co-authored together Mark J. Murray 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
Transforming genes of carcinomas and neuroblastomas introduced into mouse fibroblasts
Hit paper breakdown →
1981683
2
PDGF and FGF stimulate wound healing in the genetically diabetic mouse.
Hit paper breakdown →
1990629
3
Two Different Subunits Associate to Create Isoform-Specific Platelet-derived Growth Factor Receptors
Hit paper breakdown →
1989571
4
Two Classes of PDGF Receptor Eecognize Different Isoforms of PDGF
Hit paper breakdown →
1988550
5 1983314
6 1988291
7 1987266
8 1981206
9 1989200
10 1991169
11 2002111
12 1979100
13 198795
14 199080
15 198548
16 198041
17 197940
18 198640
19 198434
20 197933

About Mark J. Murray

Mark J. Murray is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hematology, Oncology and Genetics, having authored 31 papers that have together received 4.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Virus-based gene therapy research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Wound Healing and Treatments (4 papers), Hemophilia Treatment and Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Platelet Disorders and Treatments (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Rehabilitation (580 citations), Immunology and Allergy (335 citations), Hematology (506 citations), Oncology (888 citations) and Cancer Research (444 citations). Mark J. Murray has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Russell Ross, Robert A. Weinberg, Charles E. Hart, Daniel F. Bowen‐Pope, Chiaho Shih, Ronald A. Seifert, L. C. Padhy, K. H. Sprugel, David G. Greenhalgh and John W. Forstrom. Their work appears in journals such as Proceedings of the National Academy of Sciences, Growth Factors, Annals of Plastic Surgery, Cell and Journal of Biological Chemistry.

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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