Hagit Ashush

17 total papers · 1.4k total citations
10 papers, 986 citations indexed

About

Hagit Ashush is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hagit Ashush has authored 10 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hagit Ashush's work include RNA Interference and Gene Delivery (2 papers), Nerve injury and regeneration (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Hagit Ashush is often cited by papers focused on RNA Interference and Gene Delivery (2 papers), Nerve injury and regeneration (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Hagit Ashush collaborates with scholars based in Israel, United States and United Kingdom. Hagit Ashush's co-authors include Elena Feinstein, Hagar Kalinski, Mira Barda‐Saad, Dov Zipori, L. A. Rozenszajn, Srikanta Kumar Rath, Anju Singh, Steven N. Goodman, Rajesh K. Thimmulappa and Fred Bunz and has published in prestigious journals such as Cancer Research, Oncogene and Journal of the American Society of Nephrology.

In The Last Decade

Hagit Ashush

10 papers receiving 973 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hagit Ashush	636	132	127	85	77	10	986
Carlos Tarín	469 0.7×	72 0.5×	95 0.7×	42 0.5×	37 0.5×	17	1.2k
Nancy R. Leffler	537 0.8×	110 0.8×	166 1.3×	21 0.2×	33 0.4×	17	999
Yuan-li Ai	834 1.3×	95 0.7×	200 1.6×	29 0.3×	26 0.3×	7	1.0k
Bert Grobben	460 0.7×	52 0.4×	70 0.6×	19 0.2×	66 0.9×	15	975
Thomas G. Easton	435 0.7×	47 0.4×	71 0.6×	32 0.4×	20 0.3×	10	907
Wooyoung Shim	346 0.5×	276 2.1×	188 1.5×	88 1.0×	81 1.1×	20	944
Laura Schöckel	635 1.0×	81 0.6×	276 2.2×	287 3.4×	33 0.4×	14	1.2k
Martina Gluscevic	531 0.8×	47 0.4×	131 1.0×	35 0.4×	26 0.3×	11	1.1k
Emma Guilbaud	427 0.7×	111 0.8×	89 0.7×	37 0.4×	19 0.2×	18	910
Aaron T. Place	459 0.7×	53 0.4×	192 1.5×	11 0.1×	35 0.5×	15	1.1k

Countries citing papers authored by Hagit Ashush

Since Specialization

Citations

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

Fields of papers citing papers by Hagit Ashush

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hagit Ashush

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

All Works

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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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