Dalit May

1.9k total citations
14 papers, 1.0k citations indexed

About

Dalit May is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dalit May has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Dalit May's work include Congenital heart defects research (3 papers), RNA Research and Splicing (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Dalit May is often cited by papers focused on Congenital heart defects research (3 papers), RNA Research and Splicing (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Dalit May collaborates with scholars based in Israel, United States and Switzerland. Dalit May's co-authors include L Pennacchio, Eli Keshet, Ahuva Itin, Robin P. Smith, Jay Shendure, Nadav Ahituv, Joseph B. Hiatt, Rupali P Patwardhan, Choli Lee and Daniela Witten and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Genetics.

In The Last Decade

Dalit May

10 papers receiving 993 citations

Peers

Dalit May
Nicola Whiffin United Kingdom
Narisu Narisu United States
Huifei Liu United States
Daniel S. Pearson United States
Nicola Whiffin United Kingdom
Dalit May
Citations per year, relative to Dalit May Dalit May (= 1×) peers Nicola Whiffin

Countries citing papers authored by Dalit May

Since Specialization
Citations

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

Fields of papers citing papers by Dalit May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalit May

This figure shows the co-authorship network connecting the top 25 collaborators of Dalit May. A scholar is included among the top collaborators of Dalit May 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 Dalit May. Dalit May is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
May, Dalit, Ruth Barshir, Moni Shahar, Adam J. Rose, & Dorit Shmueli. (2025). Genetic Testing of Neurodevelopmental Disorders in Israel. JAMA Network Open. 8(8). e2527464–e2527464.
2.
Burg, Danny, Gheona Altarescu, Stanley H. Korman, Eyal Shteyer, & Dalit May. (2024). Cytosolic PEPCK deficiency caused by a novel homozygous frame-shift variant presenting as resolved hypoglycemia and acute liver failure at birth. Molecular Genetics and Metabolism Reports. 42. 101175–101175.
3.
Lieberman, Sari, Omer Murik, Paul Renbaum, et al.. (2024). Discovering predisposing genes for hereditary breast cancer using deep learning. Briefings in Bioinformatics. 25(4).
4.
Oberman, Froma, Yuval Cinnamon, Mordechai Golomb, et al.. (2023). RNA binding protein IGF2BP2 expression is induced by stress in the heart and mediates dilated cardiomyopathy. Communications Biology. 6(1). 1229–1229. 8 indexed citations
5.
May, Dalit, et al.. (2016). Psychiatric Collaboration Models in Israel.. PubMed. 18(2). 71–5. 2 indexed citations
6.
Ounzain, Samir, Rudi Micheletti, Frédéric Burdet, et al.. (2014). Functional importance of cardiac enhancer-associated noncoding RNAs in heart development and disease. Journal of Molecular and Cellular Cardiology. 76. 55–70. 96 indexed citations
7.
Patwardhan, Rupali P, Joseph B. Hiatt, Daniela Witten, et al.. (2012). Massively parallel functional dissection of mammalian enhancers in vivo. Nature Biotechnology. 30(3). 265–270. 387 indexed citations
8.
Gordon, Oren, et al.. (2012). Vascular Endothelial Growth Factor–Induced Neovascularization Rescues Cardiac Function But Not Adverse Remodeling at Advanced Ischemic Heart Disease. Arteriosclerosis Thrombosis and Vascular Biology. 32(7). 1642–1651. 13 indexed citations
9.
May, Dalit, Matthew J. Blow, Tommy Kaplan, et al.. (2011). Large-scale discovery of enhancers from human heart tissue. Nature Genetics. 44(1). 89–93. 202 indexed citations
10.
May, Dalit, Valentin Djonov, Gideon Zamir, et al.. (2011). A Transgenic Model for Conditional Induction and Rescue of Portal Hypertension Reveals a Role of VEGF-Mediated Regulation of Sinusoidal Fenestrations. PLoS ONE. 6(7). e21478–e21478. 36 indexed citations
11.
Mayr, Manuel, Dalit May, Oren Gordon, et al.. (2011). Metabolic homeostasis is maintained in myocardial hibernation by adaptive changes in the transcriptome and proteome. Journal of Molecular and Cellular Cardiology. 50(6). 982–990. 18 indexed citations
12.
Mayr, Manuel, Dalit May, Basetti Madhu, et al.. (2009). Abstract 1810: Metabolic Homeostasis is Maintained in Myocardial Hibernation by Adaptive Changes in the Transcriptome and Proteome. Circulation. 120.
13.
May, Dalit, Dan Gilon, Valentin Djonov, et al.. (2007). Transgenic system for conditional induction and rescue of chronic myocardial hibernation provides insights into genomic programs of hibernation. Proceedings of the National Academy of Sciences. 105(1). 282–287. 96 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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