Graeme Fraser

3.3k citations
57 papers · 1.6k · h-index 16

Impact in

  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Chronic Myeloid Leukemia Treatments

Papers in

Graeme Fraser

54 papers receiving 1.5k citations

Peers

Graeme Fraser
Comparison fields: 5 of 76
  • Genetics 496
  • Hematology 521
  • Pathology and Forensic Medicine 388
  • Internal Medicine 51
  • Biochemistry 58
Replace Roberto Castelli with:
Roberto Castelli Italy
Vishal Kukreti Canada
L. A. Parapia United Kingdom
H. L. Haak Netherlands
Jason Tay Canada
Luigi Gugliotta Italy
D. R. Norfolk United Kingdom
Sergio Storti Italy
Mathilde Hunault France
Paola Fazi Italy
Graeme Fraser relative to Roberto Castelli Italy Roberto Castelli's profile →
Citations per field
00.5×1.5×1.9×
Roberto Castelli · 1×
Citations per year

Countries citing papers authored by Graeme Fraser

Since Specialization
Citations

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

Fields of papers citing papers by Graeme Fraser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007403
2 2010236
3 2016177
4 201192
5 201783
6 201380
7 201864
8 200648
9
Helicobacter pylori infection and blood groups.
199641
10 201635
11 202131
12 200729
13 201025
14 201520
15 201619
16 200417
17 201515
18 201615
19 201813
20 201912

About Graeme Fraser

Graeme Fraser is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Public Health, Environmental and Occupational Health and Hematology, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (32 papers), Lymphoma Diagnosis and Treatment (21 papers), Advanced Breast Cancer Therapies (7 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Myeloid Leukemia Treatments (4 papers), CAR-T cell therapy research (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Genetics (496 citations), Hematology (521 citations), Pathology and Forensic Medicine (388 citations), Internal Medicine (51 citations) and Biochemistry (58 citations). Graeme Fraser has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Donald M. Arnold, Wendy Lim, Ralph M. Meyer, Richard J. Cook, Christopher Hillis, Darryl P. Leong, John G. Kelton, Francesco Dentali, Christopher Sigouin and Mark Crowther. Their work appears in journals such as Blood, Hematological Oncology, Journal of Clinical Oncology, Blood Advances and Biomarkers in 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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