MA Brown

438 citations
15 papers · 326 · h-index 9

Impact in

Papers in

MA Brown

14 papers receiving 311 citations

Peers

MA Brown
Comparison fields: 5 of 44
  • Obstetrics and Gynecology 256
  • Pediatrics, Perinatology and Child Health 193
  • Nephrology 60
  • Public Health, Environmental and Occupational Health 66
  • Hematology 19
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A Luger Austria
Cem Sarinoglu United States
Hajrunisa Čubro United States
Genevieve Eastabrook Canada
F. Dawood United Kingdom
Michael Egbor United Kingdom
Zhi-ling Yang China
Nicole Michon Canada
Xiaosong Yuan China
Ahter Tanay Tayyar Türkiye
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Citations per field
00.5×7.3×
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Citations per year

Countries citing papers authored by MA Brown

Since Specialization
Citations

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

Fields of papers citing papers by MA Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside MA Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with MA Brown Line = papers co-authored together MA Brown links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2012113
2 199566
3 200754
4 199118
5
Structure and expression of the GM-CSF receptor alpha and beta chain genes in human leukemia.
199316
6 199515
7 201012
8 199811
9
ASPIRIN AND PREVENTION OF PREECLAMPSIA
19958
10
No evidence for GM-CSF receptor alpha chain gene mutation in AML-M2 leukemias which have lost a sex chromosome.
19945
11
Arginine vasopressin in primigravid human pregnancy. A prospective study.
19883
12 20022
13 20022
14 20021
15 20000

About MA Brown

MA Brown is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Hematology, Immunology and Molecular Biology, having authored 15 papers that have together received 326 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Birth, Development, and Health (4 papers), Gestational Diabetes Research and Management (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Blood groups and transfusion (2 papers), Complement system in diseases (2 papers), Electrolyte and hormonal disorders (2 papers) and Maternal and fetal healthcare (2 papers). The work is most often cited by research in Obstetrics and Gynecology (256 citations), Pediatrics, Perinatology and Child Health (193 citations), Nephrology (60 citations), Public Health, Environmental and Occupational Health (66 citations) and Hematology (19 citations). MA Brown has collaborated with scholars based in Australia, India and Canada. Frequent co-authors include George Mangos, Gregory K. Davis, Lynne M. Roberts, William T. M. Dunsmuir, C. Glenn Begley, Steven Rockman, Jess King, N.S. Pattison, R A North and CA Crowther. Their work appears in journals such as Nephrology, Australian and New Zealand Journal of Obstetrics and Gynaecology, BJOG An International Journal of Obstetrics & Gynaecology, American Journal of Obstetrics and Gynecology and American Journal of Kidney Diseases.

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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