Michaela Brown

750 citations
17 papers · 508 · h-index 10

Impact in

Papers in

Michaela Brown

16 papers receiving 491 citations

Peers

Michaela Brown
Comparison fields: 5 of 65
  • Transplantation 33
  • Emergency Medical Services 50
  • Cellular and Molecular Neuroscience 76
  • Oncology 87
  • Pulmonary and Respiratory Medicine 102
Replace Rivka Shapiro with:
Rivka Shapiro Israel
Shashi K. Nagaraj United States
Vera F. Hupertz United States
Naresh P Shanmugam India
Ying Zuo China
Omar M. Fituri Qatar
Sivan Berger‐Achituv Israel
Fang Deng China
Sarah L. Morley United Kingdom
Lorenz Kuessel Austria
Michaela Brown relative to Rivka Shapiro Israel Rivka Shapiro's profile →
Citations per field
00.5×2×4×6×8×9.5×
Rivka Shapiro · 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

17 of 17 papers shown
#Work
1 2003138
2 2019105
3 200892
4 202041
5 201938
6 201921
7 202014
8 202014
9 202013
10 199710
11 20218
12 20225
13 20213
14 20202
15 20242
16 20231
17 20251

About Michaela Brown

Michaela Brown is a scholar working on Emergency Medical Services, Transplantation, Nutrition and Dietetics, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 17 papers that have together received 508 indexed citations. Recurring topics across this work include Central Venous Catheters and Hemodialysis (4 papers), Surgical site infection prevention (2 papers), Cystic Fibrosis Research Advances (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Organ Donation and Transplantation (2 papers), Clinical Nutrition and Gastroenterology (2 papers), Vitamin D Research Studies (2 papers) and Cerebrospinal fluid and hydrocephalus (2 papers). The work is most often cited by research in Transplantation (33 citations), Emergency Medical Services (50 citations), Cellular and Molecular Neuroscience (76 citations), Oncology (87 citations) and Pulmonary and Respiratory Medicine (102 citations). Michaela Brown has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include Peter McArdle, Michael Aitchison, Khalid Canna, Donald C. McMillan, A. M. McNicol, Samer Zino, Liane M. McGlynn, David Brian Kingsmore, Karen S. Stevenson and Kelly J. Lamb. Their work appears in journals such as Health Technology Assessment, The Lancet, British Journal of Cancer, Health Psychology and The Lancet Respiratory Medicine.

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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