Mayanit Sigler

13 total papers · 516 total citations
11 papers, 429 citations indexed

About

Mayanit Sigler is a scholar working on Psychiatry and Mental health, Cardiology and Cardiovascular Medicine and Neuropsychology and Physiological Psychology. According to data from OpenAlex, Mayanit Sigler has authored 11 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Psychiatry and Mental health, 4 papers in Cardiology and Cardiovascular Medicine and 1 paper in Neuropsychology and Physiological Psychology. Recurrent topics in Mayanit Sigler's work include Heart Rate Variability and Autonomic Control (4 papers), Cardiac Health and Mental Health (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Mayanit Sigler is often cited by papers focused on Heart Rate Variability and Autonomic Control (4 papers), Cardiac Health and Mental Health (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Mayanit Sigler collaborates with scholars based in Israel and United States. Mayanit Sigler's co-authors include Dov Aizenberg, Abraham Weizman, Yoram Barak, Gil Zalsman, Eitan Nahshoni, Boris Strasberg, Dan Aravot, Jean‐Pierre Lindenmayer, Shlomo Mendlovic and Igor Elman and has published in prestigious journals such as Journal of Affective Disorders, Journal of Psychosomatic Research and The Journal of Nervous and Mental Disease.

In The Last Decade

Mayanit Sigler

11 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Mayanit Sigler	191	120	68	62	62	11	429
Yue-Fang Chang	109 0.6×	85 0.7×	42 0.6×	33 0.5×	16 0.3×	13	399
Rose Mary Shaw	290 1.5×	192 1.6×	41 0.6×	24 0.4×	41 0.7×	7	471
Paul P. Giggey	173 0.9×	179 1.5×	22 0.3×	26 0.4×	25 0.4×	9	439
Francesca Neviani	49 0.3×	125 1.0×	57 0.8×	28 0.5×	53 0.9×	19	377
Katja Leth-Møller	39 0.2×	132 1.1×	63 0.9×	19 0.3×	58 0.9×	18	463
Tessa N. van den Kommer	36 0.2×	157 1.3×	37 0.5×	30 0.5×	41 0.7×	15	403
J.M. Hegeman	51 0.3×	127 1.1×	89 1.3×	30 0.5×	84 1.4×	11	410
Cheng-Hung Yang	108 0.6×	126 1.1×	58 0.9×	29 0.5×	92 1.5×	13	494
Elizabeth Guerrero‐Berroa	61 0.3×	235 2.0×	29 0.4×	34 0.5×	25 0.4×	21	464
Lianne Sanders	53 0.3×	182 1.5×	24 0.4×	50 0.8×	39 0.6×	10	450

Countries citing papers authored by Mayanit Sigler

Since Specialization

Citations

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

Fields of papers citing papers by Mayanit Sigler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayanit Sigler

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