Greg Hunt

20 papers receiving 1.7k citations

Peers

Greg Hunt
Comparison fields: 5 of 79
  • Genetics 693
  • Biomaterials 344
  • Surgery 1.1k
  • Cardiology and Cardiovascular Medicine 394
  • Molecular Biology 985
Replace Santosh K. Sanganalmath with:
Santosh K. Sanganalmath United States
Mojgan Rezvani Canada
Yu Misao Japan
Leping Shen United States
Farhad Forudi United States
Vinciane Gaussin United States
Allison Hanley United States
Takafumi Fujii Japan
Andrea Wecker United States
Jan Kajstura United States
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

20 of 20 papers shown
#Work
1 2005335
2 2010295
3 2004271
4 2016120
5 2008102
6 201688
7 201182
8 200675
9 201063
10 200859
11 200957
12 200747
13 201844
14 200838
15 200828
16 201120
17 200618
18 20098
19
Abstract 1023: Transplantation Of Bone Marrow-derived Very Small Embryonic-like Stem Cells (VSELs) Improves Left Ventricular Function And Remodeling After Myocardial Infarction
20076
20
Abstract 12248: The Beneficial Effects of Cardiac Stem Cell Therapy on Left Ventricular Function and Structure Persists for at Least One Year in Rats With Acute Myocardial Infarction
20121

About Greg Hunt

Greg Hunt is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Surgery, Pathology and Forensic Medicine and Molecular Biology, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (14 papers), Mesenchymal stem cell research (11 papers), Cardiac Fibrosis and Remodeling (9 papers), Congenital heart defects research (5 papers), Pluripotent Stem Cells Research (4 papers), Cardiac Ischemia and Reperfusion (2 papers), Immune Response and Inflammation (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Genetics (693 citations), Biomaterials (344 citations), Surgery (1.1k citations), Cardiology and Cardiovascular Medicine (394 citations) and Molecular Biology (985 citations). Greg Hunt has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include Roberto Bolli, Buddhadeb Dawn, Xian‐Liang Tang, Yiru Guo, Santosh K. Sanganalmath, Piero Anversa, Jan Kajstura, Magda Kucia, Mariusz Z. Ratajczak and Sumit Tiwari. Their work appears in journals such as Circulation Research, Circulation, Journal of Molecular and Cellular Cardiology, 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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