Greg Hunt

2.3k citations
18 papers · 1.9k · h-index 17

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Mesenchymal stem cell research 9
    • Tissue Engineering and Regenerative Medicine 8

Greg Hunt

18 papers receiving 1.8k citations

Peers

Greg Hunt
Comparison fields: 5 of 79
  • Genetics 648
  • Biomaterials 337
  • Surgery 977
  • Cardiology and Cardiovascular Medicine 365
  • Molecular Biology 937
Replace Santosh K. Sanganalmath with:
Santosh K. Sanganalmath United States
Mojgan Rezvani Canada
Farhad Forudi United States
Yu Misao Japan
Leping Shen United States
Jan Kajstura United States
Michel Clergue France
Soichiro Fujiyama Japan
Koji Iwanaga Japan
Wolfgang‐Michael Franz Germany
Greg Hunt relative to Santosh K. Sanganalmath United States Santosh K. Sanganalmath's profile →
Citations per field
00.5×1.5×
Santosh K. Sanganalmath · 1×
Citations per year

Countries citing papers authored by Greg Hunt

Since Specialization
Citations

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

Fields of papers citing papers by Greg Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005378
2 2010318
3 2004284
4 2016135
5 2008115
6 201697
7 201184
8 200681
9 201069
10 200964
11 200862
12 200752
13 201850
14 200842
15 200830
16 201120
17 200618
18 200910

About Greg Hunt

Greg Hunt is a scholar working on Genetics, Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology and Biomaterials, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Tissue Engineering and Regenerative Medicine (8 papers), Pluripotent Stem Cells Research (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Congenital heart defects research (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Cardiovascular Function and Risk Factors (1 paper) and Aldose Reductase and Taurine (1 paper). The work is most often cited by research in Genetics (648 citations), Biomaterials (337 citations), Surgery (977 citations), Cardiology and Cardiovascular Medicine (365 citations) and Molecular Biology (937 citations). Greg Hunt has collaborated with scholars based in United States, Japan and Hong Kong. Frequent co-authors include Roberto Bolli, Buddhadeb Dawn, Xian‐Liang Tang, Yiru Guo, Santosh K. Sanganalmath, Jan Kajstura, Piero Anversa, Magda Kucia, Mariusz Z. Ratajczak and Sumit Kumar Tiwari. Their work appears in journals such as Circulation Research, Journal of Molecular and Cellular Cardiology, Circulation, PLoS ONE and Stem Cells.

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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