Michaela Brown

1.1k citations
21 papers · 634 indexed · h-index 12

Michaela Brown

20 papers receiving 604 citations

Peers

Michaela Brown
Comparison fields: 5 of 80
  • Genetics 271
  • Hematology 199
  • Transplantation 28
  • Pediatrics, Perinatology and Child Health 103
  • Physiology 104
Replace Andrew C. Dietz with:
Andrew C. Dietz United States
Shu-Huey Chen Taiwan
Alessandro Lanti Italy
A. Lippi Italy
Raquel de Paz Spain
Zümrüt Uysal Türkiye
Takakazu Higuchi Japan
Mai Sato Japan
Debra Scarlata United States
Janet Nims United States
Michaela Brown relative to Andrew C. Dietz United States Andrew C. Dietz's profile →
Citations per field
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Andrew C. Dietz · 1×
Citations per year

Countries citing papers authored by Michaela Brown

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20225
3 20217
4 20213
5 202012
6 20202
7 202011
8 202012
9 202034
10 201915
11 201414
12 200886
13 2003133
14 199710
15
Low-dose OKT3 induction therapy following renal transplantation leads to improved graft function and decreased adverse effects.
19932
16 198231
17 197711
18 1972194
19 197237
20 197012

About Michaela Brown

Michaela Brown is a scholar working on Transplantation, Genetics, Clinical Biochemistry, Physiology and Molecular Medicine, having authored 21 papers that have together received 634 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Clinical Nutrition and Gastroenterology (2 papers), Vitamin D Research Studies (2 papers), Metabolism and Genetic Disorders (2 papers), Inflammatory Bowel Disease (2 papers), Microscopic Colitis (2 papers) and Cystic Fibrosis Research Advances (2 papers). The work is most often cited by research in Genetics (271 citations), Hematology (199 citations), Transplantation (28 citations), Pediatrics, Perinatology and Child Health (103 citations) and Physiology (104 citations). Michaela Brown has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include D. J. Weatherall, J. B. Clegg, Anna May, R. P. Perrine, Donald C. McMillan, A. M. McNicol, Peter McArdle, Michael Aitchison, Khalid Canna and E. Bromwich. Their work appears in journals such as Health Technology Assessment, The Lancet, Blood, British Journal of Cancer and BMJ Paediatrics Open.

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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