Marjorie L. Brown

31 total papers · 604 total citations
28 papers, 472 citations indexed

About

Marjorie L. Brown is a scholar working on Psychiatry and Mental health, Pharmacology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marjorie L. Brown has authored 28 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Psychiatry and Mental health, 4 papers in Pharmacology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marjorie L. Brown's work include Acupuncture Treatment Research Studies (3 papers), Pain Management and Placebo Effect (3 papers) and Schizophrenia research and treatment (3 papers). Marjorie L. Brown is often cited by papers focused on Acupuncture Treatment Research Studies (3 papers), Pain Management and Placebo Effect (3 papers) and Schizophrenia research and treatment (3 papers). Marjorie L. Brown collaborates with scholars based in United States and Belgium. Marjorie L. Brown's co-authors include Ivan W. Sletten, Harold Altman, John A. Stern, Richard C. Evenson, George A. Ulett, Samuel Gershon, Bernard Korol, George W. Brown, Martin I. Gold and Claire Herrington and has published in prestigious journals such as Nature, American Journal of Psychiatry and Journal of Neurophysiology.

In The Last Decade

Marjorie L. Brown

27 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Marjorie L. Brown	122	120	116	73	55	28	472
Uri Nitzan	104 0.9×	189 1.6×	189 1.6×	20 0.3×	43 0.8×	49	469
Friedhelm Stetter	119 1.0×	95 0.8×	143 1.2×	40 0.5×	20 0.4×	26	468
Susan Koranyi	106 0.9×	114 0.9×	128 1.1×	37 0.5×	12 0.2×	29	545
Anne‐Kathrin Bräscher	82 0.7×	179 1.5×	185 1.6×	19 0.3×	25 0.5×	38	515
M. A. Kidson	101 0.8×	108 0.9×	92 0.8×	30 0.4×	94 1.7×	19	541
Karan Kverno	93 0.8×	169 1.4×	81 0.7×	13 0.2×	24 0.4×	35	526
John W. Hoffman	70 0.6×	36 0.3×	80 0.7×	112 1.5×	38 0.7×	25	528
Harald Guendel	103 0.8×	96 0.8×	144 1.2×	46 0.6×	9 0.2×	18	450
Kerstin Limbrecht-Ecklundt	59 0.5×	61 0.5×	158 1.4×	48 0.7×	7 0.1×	20	446
William S. Kroger	179 1.5×	56 0.5×	352 3.0×	13 0.2×	50 0.9×	30	541

Countries citing papers authored by Marjorie L. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Marjorie L. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marjorie L. Brown. 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 Marjorie L. Brown. The network helps show where Marjorie L. Brown may publish in the future.

Co-authorship network of co-authors of Marjorie L. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Marjorie L. Brown. A scholar is included among the top collaborators of Marjorie L. Brown 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 Marjorie L. Brown. Marjorie L. Brown 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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