Margaret M. Brown

775 total citations · 1 hit paper
14 papers, 535 citations indexed

About

Margaret M. Brown is a scholar working on Clinical Psychology, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Margaret M. Brown has authored 14 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Psychology, 3 papers in Sociology and Political Science and 2 papers in Molecular Biology. Recurrent topics in Margaret M. Brown's work include Suicide and Self-Harm Studies (8 papers), Posttraumatic Stress Disorder Research (3 papers) and Homicide, Infanticide, and Child Abuse (3 papers). Margaret M. Brown is often cited by papers focused on Suicide and Self-Harm Studies (8 papers), Posttraumatic Stress Disorder Research (3 papers) and Homicide, Infanticide, and Child Abuse (3 papers). Margaret M. Brown collaborates with scholars based in United States, United Kingdom and Australia. Margaret M. Brown's co-authors include Julie Cerel, Melinda Moore, Myfanwy Maple, Chris Flaherty, Judy van de Venne, Michael Singleton, James Kevin Chipman, John A. Craft, Tim Williams and Ioanna Katsiadaki and has published in prestigious journals such as Environmental Science & Technology, Journal of Affective Disorders and BMC Public Health.

In The Last Decade

Margaret M. Brown

13 papers receiving 519 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

How Many People Are Exposed to Suicide? Not Six

2018 264 citations Julie Cerel, Margaret M. Brown et al. Suicide and Life-Threatening Behavior profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Margaret M. Brown United States	9	336	97	77	76	71	14	535
Xiaoyan Chen China	12	225 0.7×	42 0.4×	39 0.5×	33 0.4×	53 0.7×	38	517
Margaret Ryan United States	12	144 0.4×	50 0.5×	22 0.3×	82 1.1×	14 0.2×	21	712
Thomas W. Soare United States	8	225 0.7×	47 0.5×	52 0.7×	132 1.7×	49 0.7×	16	535
Børge Frank Jensen Denmark	10	404 1.2×	133 1.4×	20 0.3×	44 0.6×	93 1.3×	11	505
Erica Kay United States	6	51 0.2×	52 0.5×	23 0.3×	79 1.0×	29 0.4×	9	574
Neil Harrington United Kingdom	13	446 1.3×	167 1.7×	25 0.3×	38 0.5×	62 0.9×	19	737
Shoukai Yu China	10	60 0.2×	42 0.4×	27 0.4×	332 4.4×	29 0.4×	21	616
Panrapee Suttiwan Thailand	11	157 0.5×	71 0.7×	77 1.0×	9 0.1×	68 1.0×	31	440
Rachael E. Jones United States	9	80 0.2×	102 1.1×	10 0.1×	10 0.1×	58 0.8×	14	362
Shifeng Li China	13	128 0.4×	75 0.8×	14 0.2×	57 0.8×	76 1.1×	53	514

Countries citing papers authored by Margaret M. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Margaret M. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret M. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret M. Brown. A scholar is included among the top collaborators of Margaret M. 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 Margaret M. Brown. Margaret M. 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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14 of 14 papers shown

Marsh, Suzanne M., et al.. (2023). An analysis of suicides among first responders ─ Findings from the National Violent Death Reporting System, 2015–2017. Journal of Safety Research. 85. 361–370. 5 indexed citations

Giabbanelli, Philippe J., Ketra Rice, Nisha Nataraj, Margaret M. Brown, & Christopher R. Harper. (2023). A systems science approach to identifying data gaps in national data sources on adolescent suicidal ideation and suicide attempt in the United States. BMC Public Health. 23(1). 627–627. 2 indexed citations

Giabbanelli, Philippe J., Ketra Rice, Nisha Nataraj, et al.. (2022). Design and Deployment of a Simulation Platform: Case Study of an Agent-Based Model for Youth Suicide Prevention. 2022 Winter Simulation Conference (WSC). 2011. 2582–2593. 2 indexed citations

Giabbanelli, Philippe J., Duc Minh Nguyen, Ketra Rice, et al.. (2021). Mapping the complexity of suicide by combining participatory modeling and network science. PubMed. 12(1). 339–342. 10 indexed citations

Soberay, Kelly A., Julie Cerel, Margaret M. Brown, & Myfanwy Maple. (2021). An Examination of Suicide Exposure and Fearlessness about Death on Suicide Risk among Active Duty Service Members, Veterans, and Civilians. Archives of Suicide Research. 26(3). 1198–1218. 3 indexed citations

Cerel, Julie, Margaret M. Brown, Myfanwy Maple, et al.. (2018). How Many People Are Exposed to Suicide? Not Six. Suicide and Life-Threatening Behavior. 49(2). 529–534. 264 indexed citations breakdown →

Cerel, Julie, et al.. (2015). Veteran exposure to suicide: Prevalence and correlates. Journal of Affective Disorders. 179. 82–87. 42 indexed citations

Cerel, Julie, et al.. (2015). Emergency Department Visits Prior to Suicide and Homicide. Crisis. 37(1). 5–12. 16 indexed citations

Cerel, Julie, et al.. (2014). Who Leaves Suicide Notes? A Six‐Year Population‐Based Study. Suicide and Life-Threatening Behavior. 45(3). 326–334. 25 indexed citations

10.

Katsiadaki, Ioanna, Tim Williams, Jonathan S. Ball, et al.. (2009). Hepatic transcriptomic and metabolomic responses in the Stickleback (Gasterosteus aculeatus) exposed to ethinyl-estradiol. Aquatic Toxicology. 97(3). 174–187. 72 indexed citations

11.

Williams, Tim, Huifeng Wu, Eduarda M. Santos, et al.. (2009). Hepatic Transcriptomic and Metabolomic Responses in the Stickleback (Gasterosteus aculeatus) Exposed to Environmentally Relevant Concentrations of Dibenzanthracene. Environmental Science & Technology. 43(16). 6341–6348. 65 indexed citations

12.

Brown, Margaret M., Tim Williams, James Kevin Chipman, et al.. (2008). Construction of subtracted EST and normalised cDNA libraries from liver of chemical-exposed three-spined stickleback (Gasterosteus aculeatus) containing pollutant-responsive genes as a resource for transcriptome analysis. Marine Environmental Research. 66(1). 127–130. 15 indexed citations

13.

Nicholas, M. Kelly, et al.. (1990). Chapter 18 Prevention of neural allograft rejection in the mouse following in vivo depletion of L3T4 + but not LYT-2 + T-lymphocytes. Progress in brain research. 82. 161–167. 13 indexed citations

14.

Brown, Margaret M.. (1978). Rehabilitation Indicators: An Overview.. 1 indexed citations

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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