Michaela Brown

20 papers receiving 626 citations

Peers

Michaela Brown
Comparison fields: 5 of 73
  • Genetics 274
  • Hematology 188
  • Transplantation 25
  • Pediatrics, Perinatology and Child Health 87
  • Physiology 104
Replace Vaneuza Araújo Moreira Funke with:
Vaneuza Araújo Moreira Funke Brazil
Aarthi Shenoy United States
Zübeyde Nur Özkurt Türkiye
Zümrüt Uysal Türkiye
A. Lippi Italy
Jignesh Dalal United States
Talia İleri Türkiye
Andrew C. Dietz United States
Koichiro Ikuta Japan
J Yvart France
Michaela Brown relative to Vaneuza Araújo Moreira Funke Brazil Vaneuza Araújo Moreira Funke's profile →
Citations per field
00.5×2×2.6×
Vaneuza Araújo Moreira Funke · 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-authors

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

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972196
2 2003134
3 200887
4 197241
5 202036
6 198232
7 201417
8 201916
9 197015
10 202013
11 202013
12 197712
13 202012
14 199710
15 20217
16 20225
17 20213
18
Low-dose OKT3 induction therapy following renal transplantation leads to improved graft function and decreased adverse effects.
19933
19 20202
20 19892

About Michaela Brown

Michaela Brown is a scholar working on Genetics, Surgery, Pulmonary and Respiratory Medicine, Transplantation and Pathology and Forensic Medicine, having authored 22 papers that have together received 657 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Metabolism and Genetic Disorders (2 papers), Cystic Fibrosis Research Advances (2 papers), Vitamin D Research Studies (2 papers), Clinical Nutrition and Gastroenterology (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Genetics (274 citations), Hematology (188 citations), Transplantation (25 citations), Pediatrics, Perinatology and Child Health (87 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, Peter McArdle, Khalid Canna, E. Bromwich, Donald C. McMillan, A. M. McNicol and Michael Aitchison. Their work appears in journals such as Health Technology Assessment, The Lancet, Pediatric Critical Care Medicine, International Journal of Speech-Language Pathology 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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