Dayana Yaish

464 total citations
2 papers, 101 citations indexed

About

Dayana Yaish is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Dayana Yaish has authored 2 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Neurology. Recurrent topics in Dayana Yaish's work include Autoimmune Neurological Disorders and Treatments (1 paper), MicroRNA in disease regulation (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). Dayana Yaish is often cited by papers focused on Autoimmune Neurological Disorders and Treatments (1 paper), MicroRNA in disease regulation (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). Dayana Yaish collaborates with scholars based in Israel, Canada and South Sudan. Dayana Yaish's co-authors include Eithan Galun, Shiran Udi, Mila Rivkin, Shoshana Shpitzen, Shiri Klein, Jöerg Heeren, Eran Hornstein, Revital Ravid, Hilla Giladi and Nofar Rosenberg and has published in prestigious journals such as Gastroenterology and Journal of Autoimmunity.

In The Last Decade

Dayana Yaish

2 papers receiving 101 citations

Peers

Dayana Yaish

CR

MB

EPIDE

PHYSI

CMN

Keaton Karlinsey United States

Claire Muller Australia

Pengyi Yan China

Gerson S. Profeta Brazil

Katherine A. Kentistou United Kingdom

Zhenggang Wu China

Peiqi Xing China

Miyuki Kurata Japan

Dongkeun Jang United States

Nella Junna Finland

Keaton Karlinsey United States

Dayana Yaish

13 ×0.3

CR

26 ×0.6

MB

14 ×0.3

EPIDE

14 ×1.0

PHYSI

9 ×1.0

CMN

Citations per year, relative to Dayana Yaish Dayana Yaish (= 1×) peers Keaton Karlinsey

Countries citing papers authored by Dayana Yaish

Since Specialization

Citations

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

Fields of papers citing papers by Dayana Yaish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayana Yaish

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

All Works

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2 of 2 papers shown

1.

Levite, Mia, Alon Friedman, Nili Ilouz, et al.. (2020). Dual-Targeted Autoimmune Sword in Fatal Epilepsy: Patient's glutamate receptor AMPA GluR3B peptide autoimmune antibodies bind, induce Reactive Oxygen Species (ROS) in, and kill both human neural cells and T cells. Journal of Autoimmunity. 112. 102462–102462. 19 indexed citations

2.

Rivkin, Mila, Alina Simerzin, Elina Zorde‐Khvalevsky, et al.. (2017). Metabolic Circuit Involving Free Fatty Acids, microRNA 122, and Triglyceride Synthesis in Liver and Muscle Tissues. Gastroenterology. 153(5). 1404–1415. 82 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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