Deborah Brown

7.9k citations
135 papers · 4.0k · h-index 40

Impact in

  • Hematology top 1%
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Hemophilia Treatment and Research 25
    • Platelet Disorders and Treatments 16
    • Blood Coagulation and Thrombosis Mechanisms 14
    • Blood groups and transfusion 10
    • Hemoglobinopathies and Related Disorders 10

Deborah Brown

129 papers receiving 3.6k citations

Peers

Deborah Brown
Comparison fields: 5 of 144
  • Hematology 775
  • Genetics 350
  • Molecular Medicine 140
  • Endocrine and Autonomic Systems 173
  • Reproductive Medicine 214
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Deborah Brown relative to Michael Obladen Germany Michael Obladen's profile →
Citations per field
00.5×5×11.3×
Michael Obladen · 1×
Citations per year

Countries citing papers authored by Deborah Brown

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deborah 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 Deborah Brown Line = papers co-authored together Deborah Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984173
2 1998152
3 1993137
4 1994132
5 2008114
6 1982111
7 2006104
8 200783
9 198781
10 199781
11 196774
12 199069
13 199867
14 201066
15 199266
16 201161
17 199161
18 198960
19 200160
20 199459

About Deborah Brown

Deborah Brown is a scholar working on Hematology, Genetics, Immunology, Pediatrics, Perinatology and Child Health and Physiology, having authored 135 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (25 papers), Platelet Disorders and Treatments (16 papers), Blood Coagulation and Thrombosis Mechanisms (14 papers), Blood groups and transfusion (10 papers), Hemoglobinopathies and Related Disorders (10 papers), Erythrocyte Function and Pathophysiology (8 papers), Algal biology and biofuel production (6 papers) and Ectopic Pregnancy Diagnosis and Management (6 papers). The work is most often cited by research in Hematology (775 citations), Genetics (350 citations), Molecular Medicine (140 citations), Endocrine and Autonomic Systems (173 citations) and Reproductive Medicine (214 citations). Deborah Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include P. G. Guyenet, T. Elliot Weier, Peter M. Doubilet, Mary C. Frates, Carol B. Benson, F C Laing, Peter A. Kouides, D S Emerson, Richard E. Felker and George L. Drusano. Their work appears in journals such as Blood, Haemophilia, Radiology, Journal of Ultrasound in Medicine and British Journal of Haematology.

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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