Kory J. Lavine

17.8k total citations · 8 hit papers
134 papers, 9.3k citations indexed

About

Kory J. Lavine is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Kory J. Lavine has authored 134 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cardiology and Cardiovascular Medicine, 52 papers in Molecular Biology and 37 papers in Surgery. Recurrent topics in Kory J. Lavine's work include Cardiac Fibrosis and Remodeling (36 papers), Viral Infections and Immunology Research (14 papers) and Congenital heart defects research (14 papers). Kory J. Lavine is often cited by papers focused on Cardiac Fibrosis and Remodeling (36 papers), Viral Infections and Immunology Research (14 papers) and Congenital heart defects research (14 papers). Kory J. Lavine collaborates with scholars based in United States, Germany and Canada. Kory J. Lavine's co-authors include Slava Epelman, Gwendalyn J. Randolph, David M. Ornitz, Douglas L. Mann, Daniel Kreisel, Andrew C. White, Geetika Bajpai, Andrea Bredemeyer, Dorothy K. Sojka and Wayne M. Yokoyama and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Kory J. Lavine

126 papers receiving 9.3k citations

Hit Papers

Origin and Functions of T... 2014 2026 2018 2022 2014 2014 2014 2017 2019 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kory J. Lavine United States 43 4.4k 3.2k 3.1k 1.8k 1.0k 134 9.3k
Jean‐Sébastien Silvestre France 55 4.6k 1.1× 1.6k 0.5× 2.5k 0.8× 2.4k 1.3× 815 0.8× 145 9.7k
Masafumi Takahashi Japan 60 5.8k 1.3× 2.4k 0.7× 1.8k 0.6× 2.3k 1.2× 963 0.9× 255 11.0k
George Tellides United States 58 3.1k 0.7× 2.9k 0.9× 1.7k 0.6× 2.4k 1.3× 763 0.7× 194 9.8k
Emmanuel L. Gautier France 36 2.5k 0.6× 5.8k 1.8× 1.1k 0.4× 2.7k 1.5× 1.1k 1.0× 68 10.9k
Antonino Nicoletti France 46 2.0k 0.5× 4.6k 1.4× 1.3k 0.4× 1.3k 0.7× 755 0.7× 147 8.6k
Jalees Rehman United States 47 5.7k 1.3× 1.5k 0.5× 1.2k 0.4× 2.1k 1.1× 870 0.8× 152 10.9k
Keith A. Youker United States 48 3.3k 0.8× 1.4k 0.5× 3.6k 1.2× 1.7k 1.0× 530 0.5× 123 8.3k
Stefan Jovinge Sweden 37 4.0k 0.9× 1.1k 0.4× 2.2k 0.7× 2.8k 1.5× 455 0.4× 94 8.2k
Lloyd H. Michael United States 52 5.6k 1.3× 1.5k 0.5× 4.7k 1.5× 3.4k 1.9× 1.1k 1.0× 91 11.4k
Mark W. Majesky United States 48 5.4k 1.2× 1.1k 0.4× 1.5k 0.5× 2.4k 1.3× 624 0.6× 100 10.0k

Countries citing papers authored by Kory J. Lavine

Since Specialization
Citations

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

Fields of papers citing papers by Kory J. Lavine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kory J. Lavine. 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 Kory J. Lavine. The network helps show where Kory J. Lavine may publish in the future.

Co-authorship network of co-authors of Kory J. Lavine

This figure shows the co-authorship network connecting the top 25 collaborators of Kory J. Lavine. A scholar is included among the top collaborators of Kory J. Lavine 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 Kory J. Lavine. Kory J. Lavine 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.
Baylis, Richard A., Lei Hou, Justin M. Balko, et al.. (2026). CXCR6 + T Cells Drive Immune Checkpoint Inhibitor Myocarditis. Circulation. 153(10). 754–768. 1 indexed citations
2.
Wünnemann, Florian, Junedh Amrute, Jovan Tanevski, et al.. (2025). Spatial multiomics of acute myocardial infarction reveals immune cell infiltration through the endocardium. Nature Cardiovascular Research. 4(10). 1345–1362.
3.
Poschmann, Gereon, Martin Busch, Zhaoping Ding, et al.. (2025). A secretome atlas of cardiac fibroblasts from healthy and infarcted mouse hearts. Communications Biology. 8(1). 675–675. 1 indexed citations
4.
Lin, Julia C., et al.. (2024). Dissecting and Visualizing the Functional Diversity of Cardiac Macrophages. Circulation Research. 134(12). 1791–1807. 9 indexed citations
7.
Leid, Jamison, et al.. (2023). Imaging Targets to Visualize the Cardiac Immune Landscape in Heart Failure. Circulation Cardiovascular Imaging. 16(1). e014071–e014071. 6 indexed citations
8.
Tadepalli, Sirimuvva, Derek R. Clements, Rebeca Arroyo Hornero, et al.. (2023). Rapid recruitment and IFN-I–mediated activation of monocytes dictate focal radiotherapy efficacy. Science Immunology. 8(84). eadd7446–eadd7446. 14 indexed citations
9.
Amrute, Junedh, Lulu Lai, Pan Ma, et al.. (2023). Defining cardiac functional recovery in end-stage heart failure at single-cell resolution. Nature Cardiovascular Research. 2(4). 399–416. 28 indexed citations
10.
Kefaloyianni, Eirini, Hao Dun, Amy C. Keller, et al.. (2022). Identification of kidney injury–released circulating osteopontin as causal agent of respiratory failure. Science Advances. 8(8). 53 indexed citations
11.
Feng, Guoshuai, Geetika Bajpai, Pan Ma, et al.. (2022). CCL17 Aggravates Myocardial Injury by Suppressing Recruitment of Regulatory T Cells. Circulation. 145(10). 765–782. 78 indexed citations
12.
Kopecky, Benjamin J., Hao Dun, Junedh Amrute, et al.. (2022). Donor Macrophages Modulate Rejection After Heart Transplantation. Circulation. 146(8). 623–638. 37 indexed citations
13.
Verma, Amanda, Olakanmi Olagoke, Jonathan D. Moreno, et al.. (2022). SARS-CoV-2–Associated Myocarditis: A Case of Direct Myocardial Injury. Circulation Heart Failure. 15(3). e008273–e008273. 8 indexed citations
14.
Adamo, Luigi, Cibele Rocha‐Resende, Chieh‐Yu Lin, et al.. (2020). Myocardial B cells are a subset of circulating lymphocytes with delayed transit through the heart. JCI Insight. 5(3). 72 indexed citations
15.
Williams, Jesse W., Konstantin Zaitsev, Ki-Wook Kim, et al.. (2020). Limited proliferation capacity of aortic intima resident macrophages requires monocyte recruitment for atherosclerotic plaque progression. Nature Immunology. 21(10). 1194–1204. 138 indexed citations
16.
Heo, Gyu Seong, Benjamin J. Kopecky, Deborah Sultan, et al.. (2019). Molecular Imaging Visualizes Recruitment of Inflammatory Monocytes and Macrophages to the Injured Heart. Circulation Research. 124(6). 881–890. 82 indexed citations
17.
Bajpai, Geetika, C. Schneider, Andrea Bredemeyer, et al.. (2018). The human heart contains distinct macrophage subsets with divergent origins and functions. Nature Medicine. 24(8). 1234–1245. 478 indexed citations breakdown →
18.
Oladipupo, Sunday S., Craig Smith, Andrea Santeford, et al.. (2014). Endothelial cell FGF signaling is required for injury response but not for vascular homeostasis. Proceedings of the National Academy of Sciences. 111(37). 13379–13384. 103 indexed citations
19.
Zhang, Weili, Kory J. Lavine, Slava Epelman, et al.. (2012). Abstract 11268: Damage Associated Molecular Patterns (DAMPs) Activate Cardiac Fibroblasts Through Toll-Like Receptor 4: Implications for Myocardial Fibrosis. Circulation. 126. 1 indexed citations
20.
Zhang, Weili, Amanda L. Chancey, Huei‐Ping Tzeng, et al.. (2011). The Development of Myocardial Fibrosis in Transgenic Mice With Targeted Overexpression of Tumor Necrosis Factor Requires Mast Cell–Fibroblast Interactions. Circulation. 124(19). 2106–2116. 91 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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