Margaret Binnie

31 total papers · 1.2k total citations
23 papers, 843 citations indexed

About

Margaret Binnie is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Biological Psychiatry. According to data from OpenAlex, Margaret Binnie has authored 23 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Behavioral Neuroscience and 6 papers in Biological Psychiatry. Recurrent topics in Margaret Binnie's work include Hormonal Regulation and Hypertension (13 papers), Stress Responses and Cortisol (8 papers) and Tryptophan and brain disorders (6 papers). Margaret Binnie is often cited by papers focused on Hormonal Regulation and Hypertension (13 papers), Stress Responses and Cortisol (8 papers) and Tryptophan and brain disorders (6 papers). Margaret Binnie collaborates with scholars based in United Kingdom, United States and Mexico. Margaret Binnie's co-authors include Scott P. Webster, Samuel Estrada‐Soto, Rolffy Ortíz‐Andrade, Gabriel Navarrete‐Vázquez, Ismael León‐Rivera, Brian R. Walker, Jonathan R. Seckl, Karen Sooy, José L. Medina‐Franco and Rafael Villalobos‐Molina and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Endocrinology.

In The Last Decade

Margaret Binnie

23 papers receiving 820 citations

Author Peers

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

Author						Papers	Cites
Margaret Binnie	327	240	160	142	116	23	843
Song Liu	84 0.3×	455 1.9×	51 0.3×	51 0.4×	69 0.6×	24	981
Veronica Bild	122 0.4×	215 0.9×	65 0.4×	25 0.2×	257 2.2×	37	959
Vishnu N. Thakare	47 0.1×	140 0.6×	109 0.7×	79 0.6×	117 1.0×	28	732
Ranadeep Gogoi	55 0.2×	363 1.5×	49 0.3×	54 0.4×	166 1.4×	20	943
Pankaj Dixit	120 0.4×	286 1.2×	29 0.2×	63 0.4×	231 2.0×	35	961
Keke Jia	72 0.2×	375 1.6×	188 1.2×	49 0.3×	54 0.5×	26	1.0k
Franciele Donato	37 0.1×	208 0.9×	76 0.5×	161 1.1×	172 1.5×	19	908
Sahabuddin Ahmed	91 0.3×	362 1.5×	23 0.1×	62 0.4×	104 0.9×	27	1.0k
Dharmendra Mundhada	93 0.3×	189 0.8×	31 0.2×	38 0.3×	235 2.0×	27	703
Rai Khalid Farooq	83 0.3×	215 0.9×	334 2.1×	204 1.4×	152 1.3×	43	1.0k

Countries citing papers authored by Margaret Binnie

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Binnie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Binnie

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