M. Gafni

33 total papers · 705 total citations
26 papers, 575 citations indexed

About

M. Gafni is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, M. Gafni has authored 26 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Cognitive Neuroscience. Recurrent topics in M. Gafni's work include Thyroid Disorders and Treatments (5 papers), Receptor Mechanisms and Signaling (5 papers) and Ion channel regulation and function (5 papers). M. Gafni is often cited by papers focused on Thyroid Disorders and Treatments (5 papers), Receptor Mechanisms and Signaling (5 papers) and Ion channel regulation and function (5 papers). M. Gafni collaborates with scholars based in Israel. M. Gafni's co-authors include Haim Sohmer, Yosef Sarne, J. Gross, K Goitein, Ora Keren, Sharon Freeman, Roland Chisin, Mario Fabiani, Masaaki Ishizuka and Werner Braun and has published in prestigious journals such as Brain Research, Endocrinology and European Journal of Immunology.

In The Last Decade

M. Gafni

25 papers receiving 525 citations

Author Peers

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

Author						Papers	Cites
M. Gafni	169	166	131	123	80	26	575
Pedro A. Pereira	112 0.7×	171 1.0×	127 1.0×	44 0.4×	38 0.5×	52	635
A. P. Gokin	139 0.8×	145 0.9×	62 0.5×	57 0.5×	38 0.5×	44	630
Nancy G. Daunton	105 0.6×	105 0.6×	136 1.0×	77 0.6×	29 0.4×	37	575
Daniel Oliveira Martins	98 0.6×	111 0.7×	62 0.5×	76 0.6×	37 0.5×	36	620
Meryl A. Severson	204 1.2×	143 0.9×	119 0.9×	54 0.4×	36 0.5×	15	568
Kazuyoshi Kitaoka	145 0.9×	81 0.5×	149 1.1×	38 0.3×	33 0.4×	34	658
Jussi Kupari	192 1.1×	131 0.8×	41 0.3×	86 0.7×	39 0.5×	16	600
Michael E. Blaw	112 0.7×	41 0.2×	69 0.5×	42 0.3×	86 1.1×	22	507
Marco Rinaudo	180 1.1×	111 0.7×	68 0.5×	59 0.5×	39 0.5×	23	508
Satoko Oda	219 1.3×	289 1.7×	187 1.4×	79 0.6×	38 0.5×	31	646

Countries citing papers authored by M. Gafni

Since Specialization

Citations

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

Fields of papers citing papers by M. Gafni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Gafni

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