David Kain

2.7k total citations · 2 hit papers
24 papers, 1.8k citations indexed

About

David Kain is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, David Kain has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in David Kain's work include Cardiac Fibrosis and Remodeling (8 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Congenital heart defects research (3 papers). David Kain is often cited by papers focused on Cardiac Fibrosis and Remodeling (8 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Congenital heart defects research (3 papers). David Kain collaborates with scholars based in Israel, United States and Germany. David Kain's co-authors include Eldad Tzahor, Jonathan Leor, Elad Bassat, Oren Yifa, Rachel Sarig, Kfir Baruch Umansky, James F. Martin, Alla Aharonov, Natalie Landa and Tal Konfino and has published in prestigious journals such as Nature, Circulation and Nano Letters.

In The Last Decade

David Kain

22 papers receiving 1.8k citations

Hit Papers

ERBB2 triggers mammalian heart regeneration by promoting ... 2015 2026 2018 2022 2015 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kain Israel 18 1.1k 568 529 219 168 24 1.8k
Kunhua Song United States 16 1.8k 1.6× 380 0.7× 826 1.6× 101 0.5× 156 0.9× 28 2.3k
Yasunori Shintani Japan 28 1.2k 1.1× 1.1k 1.9× 585 1.1× 254 1.2× 303 1.8× 58 2.7k
Tamer Mohamed United States 19 1.2k 1.0× 441 0.8× 503 1.0× 165 0.8× 75 0.4× 49 1.8k
Kevin Bersell United States 8 1.3k 1.1× 659 1.2× 531 1.0× 102 0.5× 219 1.3× 12 1.7k
Allen J. York United States 27 2.1k 1.8× 1.3k 2.3× 458 0.9× 201 0.9× 137 0.8× 37 2.9k
Pingzhu Zhou United States 21 2.1k 1.9× 522 0.9× 538 1.0× 428 2.0× 191 1.1× 31 2.6k
Jason X.‐J. Yuan United States 17 1.2k 1.0× 340 0.6× 764 1.4× 114 0.5× 125 0.7× 33 1.9k
Karen Mendelson United States 14 1.1k 1.0× 412 0.7× 346 0.7× 304 1.4× 261 1.6× 20 2.0k
Chulan Kwon United States 23 2.1k 1.9× 433 0.8× 661 1.2× 115 0.5× 183 1.1× 51 2.6k
Koji Iwanaga Japan 11 840 0.7× 712 1.3× 617 1.2× 69 0.3× 95 0.6× 23 1.7k

Countries citing papers authored by David Kain

Since Specialization
Citations

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

Fields of papers citing papers by David Kain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kain

This figure shows the co-authorship network connecting the top 25 collaborators of David Kain. A scholar is included among the top collaborators of David Kain 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 David Kain. David Kain 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
2.
McDonnell, Cormac, Oleksii O. Peltek, Mariam Amer, et al.. (2024). In-Brain Multiphoton Imaging of Vaterite Cargoes Loaded with Carbon Dots. Nano Letters. 24(27). 8232–8239. 13 indexed citations
3.
Baehr, Andrea, Kfir Baruch Umansky, Elad Bassat, et al.. (2020). Agrin Promotes Coordinated Therapeutic Processes Leading to Improved Cardiac Repair in Pigs. Circulation. 142(9). 868–881. 65 indexed citations
4.
Aharonov, Alla, Avraham Shakked, Kfir Baruch Umansky, et al.. (2020). ERBB2 drives YAP activation and EMT-like processes during cardiac regeneration. Nature Cell Biology. 22(11). 1346–1356. 154 indexed citations
5.
Benbenishty, Amit, David Kain, Lee Shaashua, et al.. (2019). Prophylactic TLR9 stimulation reduces brain metastasis through microglia activation. PLoS Biology. 17(3). e2006859–e2006859. 39 indexed citations
6.
Yifa, Oren, Karen Weisinger, Elad Bassat, et al.. (2019). The small molecule Chicago Sky Blue promotes heart repair following myocardial infarction in mice. JCI Insight. 4(22). 14 indexed citations
7.
Kain, David, et al.. (2018). PySight: plug and play photon counting for fast continuous volumetric intravital microscopy. Optica. 5(9). 1104–1104. 11 indexed citations
8.
Amit, Uri, Natalie Landa, David Kain, et al.. (2018). E-selectin-targeted copolymer reduces atherosclerotic lesions, adverse cardiac remodeling, and dysfunction. Journal of Controlled Release. 288. 136–147. 37 indexed citations
9.
10.
Urban, Alan, Clément Brunner, Amos Gdalyahu, et al.. (2017). Understanding the neurovascular unit at multiple scales: Advantages and limitations of multi-photon and functional ultrasound imaging. Advanced Drug Delivery Reviews. 119. 73–100. 33 indexed citations
11.
Bassat, Elad, Ilya Y. Shadrin, Kfir Baruch Umansky, et al.. (2017). The extracellular matrix protein agrin promotes heart regeneration in mice. Nature. 547(7662). 179–184. 478 indexed citations breakdown →
12.
Ben-Mordechai, Tamar, David Kain, Radka Holbová, et al.. (2017). Targeting and modulating infarct macrophages with hemin formulated in designed lipid-based particles improves cardiac remodeling and function. Journal of Controlled Release. 257. 21–31. 36 indexed citations
13.
Naftali‐Shani, Nili, Uri Amit, David Kain, et al.. (2017). Left Ventricular Dysfunction Switches Mesenchymal Stromal Cells Toward an Inflammatory Phenotype and Impairs Their Reparative Properties Via Toll-Like Receptor-4. Circulation. 135(23). 2271–2287. 48 indexed citations
14.
15.
Zager, Yaniv, David Kain, Natalie Landa, Jonathan Leor, & Elad Maor. (2016). Optimization of Irreversible Electroporation Protocols for In-vivo Myocardial Decellularization. PLoS ONE. 11(11). e0165475–e0165475. 53 indexed citations
16.
Iram, Tal, Dorit Trudler, David Kain, et al.. (2016). Astrocytes from old Alzheimer's disease mice are impaired in Aβ uptake and in neuroprotection. Neurobiology of Disease. 96. 84–94. 91 indexed citations
17.
Kain, David, Uri Amit, Chana Yagil, et al.. (2015). Macrophages dictate the progression and manifestation of hypertensive heart disease. International Journal of Cardiology. 203. 381–395. 55 indexed citations
18.
D’Uva, Gabriele, Alla Aharonov, Mattia Lauriola, et al.. (2015). ERBB2 triggers mammalian heart regeneration by promoting cardiomyocyte dedifferentiation and proliferation. Nature Cell Biology. 17(5). 627–638. 497 indexed citations breakdown →
19.
Semo, Jonathan, Arnon Afek, Camila Avivi, et al.. (2013). The 106b∼25 microRNA cluster is essential for neovascularization after hindlimb ischaemia in mice. European Heart Journal. 35(45). 3212–3223. 34 indexed citations
20.
Naftali‐Shani, Nili, Natalie Landa‐Rouben, David Kain, et al.. (2013). The Origin of Human Mesenchymal Stromal Cells Dictates Their Reparative Properties. Journal of the American Heart Association. 2(5). e000253–e000253. 40 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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