Tamar Hashimshony

49 total papers · 5.6k total citations
25 papers, 3.0k citations indexed

About

Tamar Hashimshony is a scholar working on Molecular Biology, Aging and Immunology. According to data from OpenAlex, Tamar Hashimshony has authored 25 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Aging and 7 papers in Immunology. Recurrent topics in Tamar Hashimshony's work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Single-cell and spatial transcriptomics (6 papers) and RNA Research and Splicing (5 papers). Tamar Hashimshony is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (11 papers), Single-cell and spatial transcriptomics (6 papers) and RNA Research and Splicing (5 papers). Tamar Hashimshony collaborates with scholars based in Israel, United States and Germany. Tamar Hashimshony's co-authors include Itai Yanai, Florian Wagner, Noa Sher, Howard Cedar, Ilana Keshet, Jianmin Zhang, Gal Avital, Michal Levin, Leon Anavy and Kenneth J. Livak and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Tamar Hashimshony

25 papers receiving 3.0k citations

Hit Papers

CEL-Seq: Single-Cell RNA-... 2012 2026 2016 2021 2012 2016 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Tamar Hashimshony 2.2k 496 449 275 260 25 3.0k
Thomas R. Burkard 2.4k 1.1× 359 0.7× 578 1.3× 237 0.9× 89 0.3× 42 3.5k
Tamir Chandra 3.4k 1.5× 599 1.2× 1.2k 2.6× 270 1.0× 162 0.6× 46 4.5k
Guglielmo Roma 2.3k 1.0× 386 0.8× 473 1.1× 409 1.5× 144 0.6× 60 4.1k
Xi Shi 4.4k 2.0× 510 1.0× 490 1.1× 682 2.5× 233 0.9× 30 5.3k
Thomas M. Norman 3.3k 1.5× 350 0.7× 314 0.7× 783 2.8× 132 0.5× 23 3.9k
Darren A. Cusanovich 4.0k 1.8× 812 1.6× 527 1.2× 489 1.8× 223 0.9× 28 4.6k
Scott N. Furlan 1.1k 0.5× 222 0.4× 578 1.3× 130 0.5× 190 0.7× 43 2.0k
Meagan E. Sullender 4.1k 1.8× 220 0.4× 382 0.9× 664 2.4× 259 1.0× 15 4.7k
Mudra Hegde 4.4k 2.0× 234 0.5× 360 0.8× 724 2.6× 285 1.1× 18 5.0k
Raktima Raychowdhury 3.0k 1.4× 563 1.1× 915 2.0× 369 1.3× 64 0.2× 32 4.4k

Countries citing papers authored by Tamar Hashimshony

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Hashimshony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Hashimshony

This figure shows the co-authorship network connecting the top 25 collaborators of Tamar Hashimshony. A scholar is included among the top collaborators of Tamar Hashimshony 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 Tamar Hashimshony. Tamar Hashimshony 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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