CC Fraser

480 citations
8 papers · 397 · h-index 7

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Virus-based gene therapy research
    • Mesenchymal stem cell research

Papers in

    • Pluripotent Stem Cells Research 2
    • Glycosylation and Glycoproteins Research 1
    • Hematopoietic Stem Cell Transplantation 5

CC Fraser

8 papers receiving 382 citations

Peers

CC Fraser
Comparison fields: 5 of 44
  • Hematology 215
  • Genetics 99
  • Immunology 134
  • Genetics 103
  • Oncology 67
Replace Béatrice Panterne with:
Béatrice Panterne France
S Kyoizumi United States
Robert F. Raff United States
GK Sing United States
Gregory R. Halverson United States
CL Reading United States
GH Knitter South Africa
M. Nolte Germany
J Burgess United States
Brouet Jc France
CC Fraser relative to Béatrice Panterne France Béatrice Panterne's profile →
Citations per field
00.5×
Béatrice Panterne · 1×
Citations per year

Countries citing papers authored by CC Fraser

Since Specialization
Citations

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

Fields of papers citing papers by CC Fraser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside CC 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 CC Fraser Line = papers co-authored together CC Fraser links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1992112
2 198987
3 199073
4 199552
5 199547
6 199314
7 19908
8
Retroviral vectors for long-term expression of allogeneic major histocompatibility complex transduced into syngeneic bone marrow cells.
19954

About CC Fraser

CC Fraser is a scholar working on Molecular Biology, Hematology, Genetics, Genetics and Immunology, having authored 8 papers that have together received 397 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Virus-based gene therapy research (4 papers), Mesenchymal stem cell research (2 papers), Pluripotent Stem Cells Research (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Cells and Metastasis (1 paper), Neonatal Respiratory Health Research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (215 citations), Genetics (99 citations), Immunology (134 citations), Genetics (103 citations) and Oncology (67 citations). CC Fraser has collaborated with scholars based in Canada, Netherlands and United States. Frequent co-authors include R. Keith Humphries, Stephen J. Szilvassy, Connie J. Eaves, CJ Eaves, SJ Szilvassy, BP Chen, Peter M. Lansdorp, AC Eaves, Georg Kraal and Nico van Rooijen. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, The Journal of Immunology and PubMed.

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.

Explore authors with similar magnitude of impact