Jack Heath
Impact in
- Nephrology top 2%
- Parathyroid Disorders and Treatments
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Interference and Gene Delivery 3
- Glycosylation and Glycoproteins Research 2
-
- Cardiac Valve Diseases and Treatments 3
- Co-authors
- Yabing Chen (5 shared papers)Chang Hyun Byon (3 shared papers)Yong Sun (4 shared papers)Kaiyu Yuan (3 shared papers)Peter G. Anderson (2 shared papers)Xia Mao (2 shared papers)Hui Wu (2 shared papers)Hanjoong Jo (4 shared papers)
- Journals
- Blood (5 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Molecular Therapy (3 papers)Circulation Research (2 papers)Antioxidants and Redox Signaling (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Jack Heath
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Nephrology 228
- Cancer Research 146
- Immunology 167
- Molecular Biology 546
- Cell Biology 127
Countries citing papers authored by Jack Heath
This map shows the geographic impact of Jack Heath'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 Jack Heath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Heath more than expected).
Fields of papers citing papers by Jack Heath
This network shows the impact of papers produced by Jack Heath. 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 Jack Heath. The network helps show where Jack Heath may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Heath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 273 | |
| 2 | 2011 | 150 | |
| 3 | 2014 | 134 | |
| 4 | 2016 | 132 | |
| 5 | 2008 | 130 | |
| 6 | 2014 | 104 | |
| 7 | 2017 | 67 | |
| 8 | 2015 | 44 | |
| 9 | 2016 | 44 | |
| 10 | 2017 | 38 | |
| 11 | 2009 | 32 | |
| 12 | 2019 | 25 | |
| 13 | 2009 | 24 | |
| 14 | 2009 | 13 | |
| 15 | 2023 | 10 | |
| 16 | 2025 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 0 |
About Jack Heath
Jack Heath is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Immunology and Infectious Diseases, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Nephrology (228 citations), Cancer Research (146 citations), Immunology (167 citations), Molecular Biology (546 citations) and Cell Biology (127 citations). Jack Heath has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Yabing Chen, Chang Hyun Byon, Yong Sun, Kaiyu Yuan, Peter G. Anderson, Xia Mao, Hui Wu, Hanjoong Jo, Jianfeng Chen and Amjad Javed. Their work appears in journals such as Blood, Arteriosclerosis Thrombosis and Vascular Biology, Molecular Therapy, Circulation Research and Antioxidants and Redox Signaling.
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.