Gad D. Vatine

2.9k citations
37 papers · 2.1k indexed · 1 hit paper · h-index 19
Topics
Genetics and Neurodevelopmental Disorders (8 papers)Neuroscience and Neural Engineering (6 papers)3D Printing in Biomedical Research (6 papers)

In The Last Decade

Gad D. Vatine

36 papers receiving 2.1k citations

Hit Papers

Human iPSC-Derived Blood-Brain Barrier Chips Enable Disea...20192026202120232019100200300400

Peers

Gad D. Vatine
Comparison fields: 5 of 101
  • Molecular Biology 711
  • Biomedical Engineering 547
  • Neurology 513
  • Cellular and Molecular Neuroscience 456
  • Endocrine and Autonomic Systems 421
Replace Melanie Clements with:
Melanie Clements United Kingdom
Thomas Weiger Austria
Masumi Hirabayashi Japan
Sanbing Shen Ireland
Tejvir S. Khurana United States
Hagen Wende Germany
Dmitry Usoskin Sweden
Tudor C. Badea United States
Jacqueline Gabrion France
Ulrika Marklund Sweden
Gad D. Vatine relative to Melanie Clements United Kingdom Melanie Clements's profile →
Citations per field
00.5×4.8×
Melanie Clements · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 1
3 18
4 15
5 7
6 3
7 1
8 15
9 52
10 2
11 2
12 1
13 11
14
Human iPSC-Derived Blood-Brain Barrier Chips Enable Disease Modeling and Personalized Medicine Applicationsbreakdown →
438
15 167
16 14
17 82
18 35
19 23
20 227

About Gad D. Vatine

Gad D. Vatine is a scholar working on Endocrine and Autonomic Systems, Neurology and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (8 papers), Neuroscience and Neural Engineering (6 papers) and 3D Printing in Biomedical Research (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (421 citations), Neurology (513 citations) and Aging (84 citations). Gad D. Vatine has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Clive N. Svendsen, Yoav Gothilf, Nicholas S. Foulkes, Daniela Vallone, Lior Appelbaum, Jennifer E. Van Eyk, Weston Spivia, Samuel Sances, Norman Wen and Adi Tovin. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Neuron.

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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