Gad M. Gilad

112 total papers · 4.0k total citations
103 papers, 3.5k citations indexed

About

Gad M. Gilad is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Gad M. Gilad has authored 103 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 50 papers in Cellular and Molecular Neuroscience and 22 papers in Pharmacology. Recurrent topics in Gad M. Gilad's work include Polyamine Metabolism and Applications (39 papers), Nerve injury and regeneration (23 papers) and Amino Acid Enzymes and Metabolism (21 papers). Gad M. Gilad is often cited by papers focused on Polyamine Metabolism and Applications (39 papers), Nerve injury and regeneration (23 papers) and Amino Acid Enzymes and Metabolism (21 papers). Gad M. Gilad collaborates with scholars based in Israel, United States and Czechia. Gad M. Gilad's co-authors include Varda H. Gilad, Jose M. Rabey, Yousef Tizabi, Donald J. Reis, Yoram Finkelstein, Irwin J. Kopin, Elizabeth Shenkman, Khalil Salame, Richard McCarty and R J Wyatt and has published in prestigious journals such as Annals of Neurology, Biological Psychiatry and Brain Research.

In The Last Decade

Gad M. Gilad

103 papers receiving 3.4k citations

Author Peers

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

Author Last Decade Papers Cites
Gad M. Gilad 1.8k 1.6k 570 541 521 103 3.5k
Varda H. Gilad 1.4k 0.8× 1.2k 0.7× 328 0.6× 433 0.8× 365 0.7× 73 2.6k
Shigeru Okuyama 2.9k 1.7× 3.2k 2.0× 464 0.8× 537 1.0× 721 1.4× 148 6.4k
Yan Li 1.7k 1.0× 1.9k 1.2× 274 0.5× 274 0.5× 525 1.0× 127 4.4k
I J Kopin 1.1k 0.6× 2.1k 1.3× 369 0.6× 227 0.4× 668 1.3× 70 4.2k
Richard Bergeron 2.0k 1.2× 2.2k 1.4× 462 0.8× 585 1.1× 331 0.6× 65 4.3k
E. Roberts 1.4k 0.8× 1.9k 1.2× 435 0.8× 240 0.4× 681 1.3× 77 3.4k
Kazuho Abe 1.5k 0.9× 1.8k 1.1× 377 0.7× 622 1.1× 902 1.7× 126 4.3k
James A. Clemens 2.2k 1.3× 1.9k 1.2× 459 0.8× 505 0.9× 1.2k 2.3× 158 6.9k
Dong‐Ya Zhu 1.6k 0.9× 1.5k 0.9× 754 1.3× 268 0.5× 1.1k 2.1× 89 4.8k
Kanato Yamagata 2.9k 1.6× 2.4k 1.5× 269 0.5× 1.3k 2.3× 732 1.4× 73 6.3k

Countries citing papers authored by Gad M. Gilad

Since Specialization
Citations

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

Fields of papers citing papers by Gad M. Gilad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gad M. Gilad

This figure shows the co-authorship network connecting the top 25 collaborators of Gad M. Gilad. A scholar is included among the top collaborators of Gad M. Gilad 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 M. Gilad. Gad M. Gilad 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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