Rosemary Sutton

8.7k citations
116 papers · 3.4k indexed · h-index 32

Rosemary Sutton

114 papers receiving 3.3k citations

Peers

Rosemary Sutton
Comparison fields: 5 of 141
  • Hematology 1.2k
  • Public Health, Environmental and Occupational Health 1.7k
  • Pediatrics, Perinatology and Child Health 681
  • Immunology and Allergy 198
  • Genetics 345
Replace Ramana Tantravahi with:
Ramana Tantravahi United States
H. Bohn Germany
Andrea Riccio Italy
Ursula R. Kees Australia
Sachiko Kajigaya United States
Kinuko Mitani Japan
Takao Sekiya Japan
Antony C. Willis United Kingdom
James German United States
Philip J. Fialkow United States
Rosemary Sutton relative to Ramana Tantravahi United States Ramana Tantravahi's profile →
Citations per field
00.5×8.3×
Ramana Tantravahi · 1×
Citations per year

Countries citing papers authored by Rosemary Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Rosemary Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20232
5 20235
6 20222
7 202110
8 202117
9 202053
10 20194
11 201729
12 201618
13 201612
14 201541
15
Composite Index for Risk Prediction in Relapsed Childhood Acute Lymphoblastic Leukaemia
20153
16 201151
17 2010229
18 19957
19 199114
20 19707

About Rosemary Sutton

Rosemary Sutton is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Immunology and Allergy and Clinical Biochemistry, having authored 116 papers that have together received 3.4k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (67 papers), Childhood Cancer Survivors' Quality of Life (27 papers), Acute Myeloid Leukemia Research (24 papers), Chronic Myeloid Leukemia Treatments (15 papers), Lymphoma Diagnosis and Treatment (10 papers), Hematopoietic Stem Cell Transplantation (8 papers), Cancer Genomics and Diagnostics (6 papers) and Metabolism and Genetic Disorders (6 papers). The work is most often cited by research in Hematology (1.2k citations), Public Health, Environmental and Occupational Health (1.7k citations), Pediatrics, Perinatology and Child Health (681 citations), Immunology and Allergy (198 citations) and Genetics (345 citations). Rosemary Sutton has collaborated with scholars based in Australia, Germany and Netherlands. Frequent co-authors include Brian A. Baldo, J.K. Pollak, C.W. Wrigley, C. D. Nancarrow, André Schrauder, Jeremy Hancock, Jacques J. M. van Dongen, Glenn M. Marshall, Giovanni Cazzaniga and T Flohr. Their work appears in journals such as Blood, Reproduction, British Journal of Haematology, Leukemia and British Journal of Cancer.

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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