Yoav Hadas

1.5k total citations
28 papers, 572 citations indexed

About

Yoav Hadas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Yoav Hadas has authored 28 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 10 papers in Genetics. Recurrent topics in Yoav Hadas's work include RNA Interference and Gene Delivery (9 papers), Virus-based gene therapy research (7 papers) and Viral Infections and Immunology Research (7 papers). Yoav Hadas is often cited by papers focused on RNA Interference and Gene Delivery (9 papers), Virus-based gene therapy research (7 papers) and Viral Infections and Immunology Research (7 papers). Yoav Hadas collaborates with scholars based in United States, Israel and United Kingdom. Yoav Hadas's co-authors include Lior Zangi, Avihu Klar, Elena Chepurko, Nishat Sultana, Oshri Avraham, Israel Goldberg, Dov Prusky, Ophry Pines, Ajit Magadum and Mohammad Tofael Kabir Sharkar and has published in prestigious journals such as Nucleic Acids Research, Circulation and Journal of Neuroscience.

In The Last Decade

Yoav Hadas

25 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoav Hadas United States 13 391 116 106 104 82 28 572
Yoshiaki Kise Japan 12 424 1.1× 33 0.3× 66 0.6× 63 0.6× 166 2.0× 20 543
Peter S. Mountford Australia 10 784 2.0× 37 0.3× 264 2.5× 43 0.4× 54 0.7× 13 945
M.-C. Beckers Belgium 7 417 1.1× 73 0.6× 84 0.8× 16 0.2× 82 1.0× 10 525
Shaun Teo United States 4 686 1.8× 16 0.1× 170 1.6× 44 0.4× 109 1.3× 4 784
Yabei Xu China 12 248 0.6× 192 1.7× 45 0.4× 25 0.2× 41 0.5× 22 493
Mariya M. Kucherenko Germany 15 328 0.8× 40 0.3× 56 0.5× 66 0.6× 125 1.5× 28 531
Anne Chiang United States 9 1.0k 2.7× 20 0.2× 123 1.2× 53 0.5× 165 2.0× 9 1.2k
J. van Reeuwijk Netherlands 5 399 1.0× 45 0.4× 72 0.7× 77 0.7× 83 1.0× 6 446
Bhairab N. Singh United States 16 610 1.6× 46 0.4× 89 0.8× 102 1.0× 26 0.3× 25 738
Yung‐Yao Lin United Kingdom 9 345 0.9× 37 0.3× 46 0.4× 103 1.0× 61 0.7× 15 406

Countries citing papers authored by Yoav Hadas

Since Specialization
Citations

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

Fields of papers citing papers by Yoav Hadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoav Hadas

This figure shows the co-authorship network connecting the top 25 collaborators of Yoav Hadas. A scholar is included among the top collaborators of Yoav Hadas 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 Yoav Hadas. Yoav Hadas 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.
2.
Katz, Michael G., Yoav Hadas, Adam Vincek, et al.. (2023). Acid ceramidase gene therapy ameliorates pulmonary arterial hypertension with right heart dysfunction. Respiratory Research. 24(1). 197–197. 2 indexed citations
3.
Madjarov, Jeko M., Michael G. Katz, Yoav Hadas, et al.. (2023). Chronic thoracic pain after cardiac surgery: role of inflammation and biomechanical sternal stability. SHILAP Revista de lepidopterología. 4. 1180969–1180969.
4.
Katz, Michael G., et al.. (2022). Cardiac Targeted Adeno-Associated Virus Injection in Rats. Methods in molecular biology. 2573. 135–145. 1 indexed citations
5.
Katz, Michael G., Yoav Hadas, Rasheed Bailey, et al.. (2021). Efficient cardiac gene transfer and early-onset expression of a synthetic adeno-associated viral vector, Anc80L65, after intramyocardial administration. Journal of Thoracic and Cardiovascular Surgery. 164(6). e429–e443. 5 indexed citations
6.
Sultana, Nishat, Yoav Hadas, Mohammad Tofael Kabir Sharkar, et al.. (2020). Optimization of 5′ Untranslated Region of Modified mRNA for Use in Cardiac or Hepatic Ischemic Injury. Molecular Therapy — Methods & Clinical Development. 17. 622–633. 31 indexed citations
7.
Kaur, Keerat, Nishat Sultana, Yoav Hadas, et al.. (2020). Delivery of Modified mRNA in a Myocardial Infarction Mouse Model. Journal of Visualized Experiments. 6 indexed citations
8.
Sultana, Nishat, Mohammad Tofael Kabir Sharkar, Yoav Hadas, Elena Chepurko, & Lior Zangi. (2020). In Vitro Synthesis of Modified RNA for Cardiac Gene Therapy. Methods in molecular biology. 2158. 281–294. 10 indexed citations
9.
Katz, Michael G., Sarah M Gubara, Yoav Hadas, et al.. (2019). Effects of genetic transfection on calcium cycling pathways mediated by double-stranded adeno-associated virus in postinfarction remodeling. Journal of Thoracic and Cardiovascular Surgery. 159(5). 1809–1819.e3. 7 indexed citations
10.
Hadas, Yoav, Nishat Sultana, Mohammad Tofael Kabir Sharkar, et al.. (2019). Optimizing Modified mRNA In Vitro Synthesis Protocol for Heart Gene Therapy. Molecular Therapy — Methods & Clinical Development. 14. 300–305. 33 indexed citations
11.
Sultana, Nishat, Ajit Magadum, Yoav Hadas, et al.. (2017). Optimizing Cardiac Delivery of Modified mRNA. Molecular Therapy. 25(6). 1306–1315. 86 indexed citations
12.
Zangi, Lior, Qing Ma, Nishat Sultana, et al.. (2016). Insulin-Like Growth Factor 1 Receptor-Dependent Pathway Drives Epicardial Adipose Tissue Formation After Myocardial Injury. Circulation. 135(1). 59–72. 73 indexed citations
13.
Hadas, Yoav, Oshri Avraham, Oren Kobiler, et al.. (2014). A ‘tool box’ for deciphering neuronal circuits in the developing chick spinal cord. Nucleic Acids Research. 42(19). e148–e148. 17 indexed citations
14.
Hadas, Yoav, et al.. (2013). Distinct Cis Regulatory Elements Govern the Expression of TAG1 in Embryonic Sensory Ganglia and Spinal Cord. PLoS ONE. 8(2). e57960–e57960. 8 indexed citations
15.
Kohl, Ayelet, Yoav Hadas, Avihu Klar, & Dalit Sela‐Donenfeld. (2013). Electroporation of the Hindbrain to Trace Axonal Trajectories and Synaptic Targets in the Chick Embryo. Journal of Visualized Experiments. e50136–e50136. 8 indexed citations
16.
Kohl, Ayelet, Yoav Hadas, Avihu Klar, & Dalit Sela‐Donenfeld. (2012). Axonal Patterns and Targets of dA1 Interneurons in the Chick Hindbrain. Journal of Neuroscience. 32(17). 5757–5771. 24 indexed citations
17.
Avraham, Oshri, et al.. (2010). Motor and Dorsal Root Ganglion Axons Serve as Choice Points for the Ipsilateral Turning of dI3 Axons. Journal of Neuroscience. 30(46). 15546–15557. 20 indexed citations
18.
Avraham, Oshri, et al.. (2010). Deciphering Axonal Pathways of Genetically Defined Groups of Neurons in the Chick Neural Tube Utilizing <em>in ovo</em> Electroporation. Journal of Visualized Experiments. 12 indexed citations
19.
20.
Avraham, Oshri, et al.. (2009). Transcriptional control of axonal guidance and sorting in dorsal interneurons by the Lim-HD proteins Lhx9 and Lhx1. Neural Development. 4(1). 21–21. 71 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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