Gad D. Vatine

2.9k total citations · 1 hit paper
37 papers, 2.1k citations indexed

About

Gad D. Vatine is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Gad D. Vatine has authored 37 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in Gad D. Vatine's work include Genetics and Neurodevelopmental Disorders (8 papers), Neuroscience and Neural Engineering (6 papers) and 3D Printing in Biomedical Research (6 papers). Gad D. Vatine is often cited by papers focused on Genetics and Neurodevelopmental Disorders (8 papers), Neuroscience and Neural Engineering (6 papers) and 3D Printing in Biomedical Research (6 papers). Gad D. Vatine collaborates with scholars based in Israel, United States and Germany. Gad D. Vatine's co-authors include Clive N. Svendsen, Yoav Gothilf, Nicholas S. Foulkes, Daniela Vallone, Lior Appelbaum, Jennifer E. Van Eyk, Weston Spivia, Adi Tovin, Samuel Sances and Norman Wen and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Neuron.

In The Last Decade

Gad D. Vatine

36 papers receiving 2.1k citations

Hit Papers

Human iPSC-Derived Blood-Brain Barrier Chips Enable Disea... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gad D. Vatine Israel 19 711 547 513 456 421 37 2.1k
Melanie Clements United Kingdom 29 2.1k 2.9× 113 0.2× 160 0.3× 661 1.4× 609 1.4× 48 3.9k
Ariel J. Levine United States 24 1.9k 2.6× 333 0.6× 244 0.5× 541 1.2× 70 0.2× 33 2.8k
François Lallemend Sweden 25 1.1k 1.6× 84 0.2× 161 0.3× 602 1.3× 86 0.2× 41 2.4k
Carmen Saltó Sweden 14 1.2k 1.7× 107 0.2× 113 0.2× 613 1.3× 80 0.2× 16 1.9k
Christopher Gregg Canada 17 857 1.2× 51 0.1× 378 0.7× 582 1.3× 108 0.3× 20 2.4k
Jacqueline Gabrion France 23 909 1.3× 105 0.2× 205 0.4× 561 1.2× 70 0.2× 76 1.9k
Verdon Taylor Switzerland 47 4.0k 5.6× 182 0.3× 667 1.3× 1.6k 3.5× 169 0.4× 98 6.2k
Jane L. Lubischer United States 12 1.4k 2.0× 97 0.2× 856 1.7× 1.1k 2.3× 67 0.2× 17 2.9k
Konrad Noben‐Trauth United States 25 1.7k 2.4× 98 0.2× 550 1.1× 297 0.7× 218 0.5× 47 3.4k
Soledad Alcántara Spain 32 1.5k 2.1× 96 0.2× 434 0.8× 2.4k 5.3× 108 0.3× 51 4.2k

Countries citing papers authored by Gad D. Vatine

Since Specialization
Citations

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

Fields of papers citing papers by Gad D. Vatine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gad D. Vatine. 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 Gad D. Vatine. The network helps show where Gad D. Vatine may publish in the future.

Co-authorship network of co-authors of Gad D. Vatine

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

All Works

20 of 20 papers shown
1.
Pasmanik‐Chor, Metsada, et al.. (2024). Chronic and acute exposure to rotenone reveals distinct Parkinson's disease-related phenotypes in human iPSC-derived peripheral neurons. Free Radical Biology and Medicine. 213. 164–173. 1 indexed citations
2.
Berdichevsky, Yevgeny, Itzhak Braverman, Sergiu C. Blumen, et al.. (2024). Disease-associated polyalanine expansion mutations impair UBA6-dependent ubiquitination. The EMBO Journal. 43(2). 250–276. 3 indexed citations
3.
Braun, Doreen, et al.. (2022). Sodium Phenylbutyrate Rescues Thyroid Hormone Transport in Brain Endothelial-Like Cells. Thyroid. 32(7). 860–870. 7 indexed citations
4.
Liao, Xiao-Hui, Pablo Avalos, Catherine Bresee, et al.. (2022). AAV9-MCT8 Delivery at Juvenile Stage Ameliorates Neurological and Behavioral Deficits in a Mouse Model of MCT8-Deficiency. Thyroid. 32(7). 849–859. 15 indexed citations
5.
Anzi, Shira, Inbar Plaschkes, Hadar Benyamini, et al.. (2022). P450 oxidoreductase regulates barrier maturation by mediating retinoic acid metabolism in a model of the human BBB. Stem Cell Reports. 17(9). 2050–2063. 3 indexed citations
6.
Vatine, Gad D., et al.. (2022). Microfluidic channel sensory system for electro-addressing cell location, determining confluency, and quantifying a general number of cells. Scientific Reports. 12(1). 3248–3248. 15 indexed citations
9.
Anzi, Shira, Urban Deutsch, Britta Engelhardt, et al.. (2021). Nano-scale architecture of blood-brain barrier tight-junctions. eLife. 10. 49 indexed citations
10.
Workman, Michael J., et al.. (2020). Generation of a Human iPSC-Based Blood-Brain Barrier Chip. Journal of Visualized Experiments. 1 indexed citations
12.
Vatine, Gad D., Riccardo Barrile, Michael J. Workman, et al.. (2019). Human iPSC-Derived Blood-Brain Barrier Chips Enable Disease Modeling and Personalized Medicine Applications. Cell stem cell. 24(6). 995–1005.e6. 438 indexed citations breakdown →
13.
Vatine, Gad D., Abraham Al‐Ahmad, Soshana Svendsen, et al.. (2017). Modeling Psychomotor Retardation using iPSCs from MCT8-Deficient Patients Indicates a Prominent Role for the Blood-Brain Barrier. Cell stem cell. 20(6). 831–843.e5. 167 indexed citations
14.
Zada, David, Adi Tovin, Tali Lerer‐Goldshtein, Gad D. Vatine, & Lior Appelbaum. (2014). Altered Behavioral Performance and Live Imaging of Circuit-Specific Neural Deficiencies in a Zebrafish Model for Psychomotor Retardation. PLoS Genetics. 10(9). e1004615–e1004615. 74 indexed citations
15.
Ben-Moshe, Zohar, Shahar Alon, Philipp Mracek, et al.. (2014). The light-induced transcriptome of the zebrafish pineal gland reveals complex regulation of the circadian clockwork by light. Nucleic Acids Research. 42(6). 3750–3767. 61 indexed citations
16.
Vatine, Gad D., David Zada, Tali Lerer‐Goldshtein, et al.. (2012). Zebrafish as a Model for Monocarboxyl Transporter 8-Deficiency. Journal of Biological Chemistry. 288(1). 169–180. 59 indexed citations
17.
Tovin, Adi, Shahar Alon, Zohar Ben-Moshe, et al.. (2012). Systematic Identification of Rhythmic Genes Reveals camk1gb as a New Element in the Circadian Clockwork. PLoS Genetics. 8(12). e1003116–e1003116. 35 indexed citations
18.
Elbaz, Idan, et al.. (2012). Genetic Ablation of Hypocretin Neurons Alters Behavioral State Transitions in Zebrafish. Journal of Neuroscience. 32(37). 12961–12972. 82 indexed citations
19.
Stiebel‐Kalish, Hadas, Ehud Reich, Gad D. Vatine, et al.. (2012). Gucy2f zebrafish knockdown – a model for Gucy2d-related leber congenital amaurosis. European Journal of Human Genetics. 20(8). 884–889. 23 indexed citations
20.
Vatine, Gad D., Daniela Vallone, Yoav Gothilf, & Nicholas S. Foulkes. (2011). It's time to swim! Zebrafish and the circadian clock. FEBS Letters. 585(10). 1485–1494. 227 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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