Liad Hinden

32 total papers · 1.1k total citations
24 papers, 554 citations indexed

About

Liad Hinden is a scholar working on Surgery, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Liad Hinden has authored 24 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Pharmacology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Liad Hinden's work include Pancreatic function and diabetes (12 papers), Cannabis and Cannabinoid Research (11 papers) and Diet, Metabolism, and Disease (5 papers). Liad Hinden is often cited by papers focused on Pancreatic function and diabetes (12 papers), Cannabis and Cannabinoid Research (11 papers) and Diet, Metabolism, and Disease (5 papers). Liad Hinden collaborates with scholars based in Israel, United States and Hungary. Liad Hinden's co-authors include Joseph Tam, Adi Drori, Shiran Udi, Alina Nemirovski, Aviram Kogot‐Levin, Saja Baraghithy, Reşat Çınar, Gil Leibowitz, Yael Riahi and Rivka Hadar and has published in prestigious journals such as Nature Communications, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Liad Hinden

23 papers receiving 551 citations

Author Peers

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

Author						Papers	Cites
Liad Hinden	215	174	160	135	92	24	554
Nathan J. Coffey	188 0.9×	95 0.5×	73 0.5×	245 1.8×	66 0.7×	20	593
Arianna Bettiga	129 0.6×	84 0.5×	71 0.4×	236 1.7×	76 0.8×	38	618
Zhen-Zhou Zhang	213 1.0×	186 1.1×	90 0.6×	166 1.2×	49 0.5×	18	597
Stefania Bellini	116 0.5×	49 0.3×	70 0.4×	222 1.6×	48 0.5×	20	579
RL Hodge	84 0.4×	96 0.6×	82 0.5×	142 1.1×	111 1.2×	22	660
P. V. Halushka	178 0.8×	64 0.4×	77 0.5×	191 1.4×	134 1.5×	27	671
Ryo Kodera	61 0.3×	188 1.1×	370 2.3×	169 1.3×	58 0.6×	16	646
P. Garrido	43 0.2×	123 0.7×	133 0.8×	157 1.2×	74 0.8×	32	586
Yusuke Tsubokou	57 0.3×	117 0.7×	194 1.2×	170 1.3×	132 1.4×	15	515
Maria Elena Lunati	64 0.3×	165 0.9×	313 2.0×	154 1.1×	100 1.1×	25	616

Countries citing papers authored by Liad Hinden

Since Specialization

Citations

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

Fields of papers citing papers by Liad Hinden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liad Hinden

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