Tikva Turetsky

2.1k citations
12 papers · 1.4k · 1 hit paper · h-index 9

Impact in

Papers in

    • Pluripotent Stem Cells Research 6
    • CRISPR and Genetic Engineering 4
    • Erythrocyte Function and Pathophysiology 2

Tikva Turetsky

12 papers receiving 1.4k citations

Tikva Turetsky's Hit Papers

Neural progenitors from human embryonic stem cells 2001 · 825 citations
8250+8+16Years since publication250500750

Peers

Tikva Turetsky
Comparison fields: 5 of 73
  • Developmental Neuroscience 354
  • Genetics 219
  • Cellular and Molecular Neuroscience 353
  • Molecular Biology 1.0k
  • Neurology 75
Replace Alexandra Blak with:
Alexandra Blak United States
Akimasa Yasuda Japan
Virginia B. Mattis United States
Yechiel Elkabetz United States
Giovanna M. Bernal United States
Raja Kittappa United States
José Ramón Pineda Spain
David M. Panchision United States
J. Simon Lunn United States
Federica Rizzo Italy
Tikva Turetsky relative to Alexandra Blak United States Alexandra Blak's profile →
Citations per field
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Alexandra Blak · 1×
Citations per year

Countries citing papers authored by Tikva Turetsky

Since Specialization
Citations

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

Fields of papers citing papers by Tikva Turetsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tikva Turetsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tikva Turetsky Line = papers co-authored together Tikva Turetsky links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Neural progenitors from human embryonic stem cells
Hit paper breakdown →
2001825
2 2005172
3 2019131
4 201280
5 199956
6 200744
7 202227
8 201522
9 201318
10 20226
11 19966
12 19991

About Tikva Turetsky

Tikva Turetsky is a scholar working on Molecular Biology, Physiology, Genetics, Pulmonary and Respiratory Medicine and Developmental Neuroscience, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (4 papers), Erythrocyte Function and Pathophysiology (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Blood properties and coagulation (2 papers), 3D Printing in Biomedical Research (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Developmental Neuroscience (354 citations), Genetics (219 citations), Cellular and Molecular Neuroscience (353 citations), Molecular Biology (1.0k citations) and Neurology (75 citations). Tikva Turetsky has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Benjamin Reubinoff, Martín F. Pera, Pavel Itsykson, Etti Reinhartz, Tamir Ben‐Hur, Anna Itzik, Nili Ilouz, Yaniv Gil, Menahem Segal and Ianai Fishbein. Their work appears in journals such as PLoS ONE, Blood, Stem Cell Reports, Genomics and EBioMedicine.

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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