Jack Heath

1.5k total citations
20 papers, 1.2k citations indexed

About

Jack Heath is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jack Heath has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jack Heath's work include Virus-based gene therapy research (3 papers), Cardiac Valve Diseases and Treatments (3 papers) and RNA Interference and Gene Delivery (3 papers). Jack Heath is often cited by papers focused on Virus-based gene therapy research (3 papers), Cardiac Valve Diseases and Treatments (3 papers) and RNA Interference and Gene Delivery (3 papers). Jack Heath collaborates with scholars based in United States, Netherlands and Australia. Jack Heath's co-authors include Yabing Chen, Chang Hyun Byon, Yong Sun, Kaiyu Yuan, Xia Mao, Peter G. Anderson, Hui Wu, Hanjoong Jo, Jianfeng Chen and Kui Zhang and has published in prestigious journals such as Blood, Circulation Research and Scientific Reports.

In The Last Decade

Jack Heath

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jack Heath United States 14 614 239 203 197 182 20 1.2k
Kaiyu Yuan United States 14 523 0.9× 192 0.8× 119 0.6× 158 0.8× 72 0.4× 22 958
Martina Leopizzi Italy 21 763 1.2× 51 0.2× 69 0.3× 118 0.6× 119 0.7× 74 1.3k
Jiayi Yao China 21 618 1.0× 87 0.4× 73 0.4× 102 0.5× 61 0.3× 58 1.1k
Fenghua Zeng United States 14 571 0.9× 107 0.4× 95 0.5× 79 0.4× 46 0.3× 24 1.1k
Parvin Todd United States 13 384 0.6× 259 1.1× 104 0.5× 110 0.6× 24 0.1× 14 1.3k
George T. Tkalcevic United States 13 684 1.1× 121 0.5× 387 1.9× 70 0.4× 63 0.3× 14 1.3k
Karl X. Knaup Germany 18 528 0.9× 61 0.3× 139 0.7× 145 0.7× 30 0.2× 29 1.1k
Nerea Méndez‐Barbero Spain 18 434 0.7× 27 0.1× 128 0.6× 206 1.0× 171 0.9× 37 958
Alexandra Mazharian United Kingdom 21 433 0.7× 38 0.2× 55 0.3× 282 1.4× 202 1.1× 33 1.3k
Serge Lemay Canada 16 621 1.0× 312 1.3× 93 0.5× 267 1.4× 24 0.1× 24 1.1k

Countries citing papers authored by Jack Heath

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jack Heath

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Heath. A scholar is included among the top collaborators of Jack Heath based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jack Heath. Jack Heath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Marco, Eugenio, Patricia Sousa, Jack Heath, et al.. (2025). Nonclinical evaluation of renizgamglogene autogedtemcel for SCD and TDT. Molecular Therapy. 34(1). 249–265.
2.
Yamada‐Hara, Miki, Ji Won Byun, Naoki Takahashi, et al.. (2025). RORγt Inhibition Reduces Protumor Inflammation and Decreases Tumor Growth in Experimental Models of Lung Cancer. Cancer Immunology Research. 13(9). 1418–1434.
3.
Heath, Jack, Kanut Laoharawee, David P. Waterman, et al.. (2024). Prime Editing Enables Precise and Efficient Single Amino Acid Substitutions to Shield CD34+ Hematopoietic Stem Cells from Anti-CD117 Antibody-Based Conditioning. Blood. 144(Supplement 1). 514–514. 1 indexed citations
4.
5.
Heath, Jack, Patricia Sousa, Scott L. Hansen, et al.. (2020). Robust Pre-Clinical Results and Large-Scale Manufacturing Process for Edit-301: An Autologous Cell Therapy for the Potential Treatment of SCD. Blood. 136(Supplement 1). 45–46. 1 indexed citations
6.
Heath, Jack, John A. Zuris, Patricia Sousa, et al.. (2019). EDIT-301: An Experimental Autologous Cell Therapy Comprising Cas12a-RNP Modified mPB-CD34+ Cells for the Potential Treatment of SCD. Blood. 134(Supplement_1). 4636–4636. 23 indexed citations
7.
Heath, Jack, Carrie M. Margulies, Ramya Viswanathan, et al.. (2017). Expanding CRISPR Genome Editing Strategies in Hematopoietic Stem and Progenitor Cells for the Treatment of Hematologic Diseases. Blood. 130. 4619–4619. 1 indexed citations
8.
Heath, Jack, et al.. (2017). Mechanosensitive microRNA-181b Regulates Aortic Valve Endothelial Matrix Degradation by Targeting TIMP3. Cardiovascular Engineering and Technology. 9(2). 141–150. 37 indexed citations
9.
Hu, Shuhong, Tao You, Jack Heath, et al.. (2017). Vascular Semaphorin 7A Upregulation by Disturbed Flow Promotes Atherosclerosis Through Endothelial β1 Integrin. Arteriosclerosis Thrombosis and Vascular Biology. 38(2). 335–343. 65 indexed citations
10.
Byon, Chang Hyun, Jack Heath, & Yabing Chen. (2016). Redox signaling in cardiovascular pathophysiology: A focus on hydrogen peroxide and vascular smooth muscle cells. Redox Biology. 9. 244–253. 132 indexed citations
11.
Rathan, Swetha, Zannatul Ferdous, Sandeep Kumar, et al.. (2016). Identification of side- and shear-dependent microRNAs regulating porcine aortic valve pathogenesis. Scientific Reports. 6(1). 25397–25397. 43 indexed citations
12.
Heath, Jack, et al.. (2015). Shear-Sensitive Genes in Aortic Valve Endothelium. Antioxidants and Redox Signaling. 25(7). 401–414. 43 indexed citations
13.
Deng, Liang, Lu Huang, Yong Sun, et al.. (2014). Inhibition of FOXO1/3 Promotes Vascular Calcification. Arteriosclerosis Thrombosis and Vascular Biology. 35(1). 175–183. 103 indexed citations
14.
Heath, Jack, Yong Sun, Kaiyu Yuan, et al.. (2014). Activation of AKT by O-Linked N-Acetylglucosamine Induces Vascular Calcification in Diabetes Mellitus. Circulation Research. 114(7). 1094–1102. 130 indexed citations
15.
Sun, Yong, Chang Hyun Byon, Kaiyu Yuan, et al.. (2012). Smooth Muscle Cell–Specific Runx2 Deficiency Inhibits Vascular Calcification. Circulation Research. 111(5). 543–552. 270 indexed citations
16.
Byon, Chang Hyun, Yong Sun, Jianfeng Chen, et al.. (2011). Runx2-Upregulated Receptor Activator of Nuclear Factor κB Ligand in Calcifying Smooth Muscle Cells Promotes Migration and Osteoclastic Differentiation of Macrophages. Arteriosclerosis Thrombosis and Vascular Biology. 31(6). 1387–1396. 146 indexed citations
17.
Heath, Jack, A.K. Langton, Nigel L. Hammond, et al.. (2009). Hair Follicles Are Required for Optimal Growth during Lateral Skin Expansion. Journal of Investigative Dermatology. 129(10). 2358–2364. 13 indexed citations
18.
Limberis, Maria P., Christie Bell, Jack Heath, & James M. Wilson. (2009). Activation of Transgene-specific T Cells Following Lentivirus-mediated Gene Delivery to Mouse Lung. Molecular Therapy. 18(1). 143–150. 32 indexed citations
19.
Limberis, Maria P., et al.. (2009). Cationic Lipid Formulations Alter the In Vivo Tropism of AAV2/9 Vector in Lung. Molecular Therapy. 17(12). 2078–2087. 24 indexed citations
20.
Goldoni, Silvia, Daniela G. Seidler, Jack Heath, et al.. (2008). An Antimetastatic Role for Decorin in Breast Cancer. American Journal Of Pathology. 173(3). 844–855. 129 indexed citations

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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