Matthew Curran

419 citations
6 papers · 309 · h-index 5

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications

Papers in

    • Pluripotent Stem Cells Research 2
    • Epigenetics and DNA Methylation 1
    • Hematopoietic Stem Cell Transplantation 2

Matthew Curran

6 papers receiving 306 citations

Peers

Matthew Curran
Comparison fields: 5 of 40
  • Hematology 94
  • Cell Biology 113
  • Immunology 66
  • Cancer Research 40
  • Molecular Biology 177
Replace Andrew Jarratt with:
Andrew Jarratt United Kingdom
Óscar Navarro-Montero Spain
Milena Mazan Poland
Maria Manuela Nogueira France
Kirsty N. Harvey Netherlands
Ashley Chabot United States
Tatsuro Matsunashi Japan
Višnja Radulović Japan
Séverine Coulon France
Stamatina Fragkogianni United States
Matthew Curran relative to Andrew Jarratt United Kingdom Andrew Jarratt's profile →
Citations per field
00.5×1.5×
Andrew Jarratt · 1×
Citations per year

Countries citing papers authored by Matthew Curran

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Curran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2012141
2 200988
3 201038
4 200828
5 201312
6 20092

About Matthew Curran

Matthew Curran is a scholar working on Molecular Biology, Hematology, Cell Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 309 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (2 papers), Pluripotent Stem Cells Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Immune Cell Function and Interaction (1 paper), Epigenetics and DNA Methylation (1 paper), Reproductive Biology and Fertility (1 paper), Mesenchymal stem cell research (1 paper) and Neonatal Respiratory Health Research (1 paper). The work is most often cited by research in Hematology (94 citations), Cell Biology (113 citations), Immunology (66 citations), Cancer Research (40 citations) and Molecular Biology (177 citations). Matthew Curran has collaborated with scholars based in United States, Germany and France. Frequent co-authors include George Q. Daley, Sabine Loewer, Shannon McKinney‐Freeman, Olaia Naveiras, F Yates, Peter J. Park, James J. Collins, Erin M. Langdon, Claudia Lengerke and Patrick Cahan. Their work appears in journals such as Blood, Nature Genetics, Endocrinology, Cell stem cell and Experimental Cell Research.

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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