S. Fairhead

589 citations
12 papers · 428 indexed · h-index 10

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Transplantation: Methods and Outcomes 4

S. Fairhead

12 papers receiving 407 citations

Peers

S. Fairhead
Comparison fields: 5 of 55
  • Hematology 239
  • Transplantation 46
  • Genetics 91
  • Dermatology 64
  • Infectious Diseases 82
Replace G. A. M. de Vaan with:
G. A. M. de Vaan Netherlands
K. W. Chan United States
Lysiane Molina France
Ozay Halil United Kingdom
Yasutaka Aoyama Japan
Paola Marenco Italy
Nadia Arzouk France
B M Camitta United States
N Basara Germany
Geothy Chakupurakal Germany
S. Fairhead relative to G. A. M. de Vaan Netherlands G. A. M. de Vaan's profile →
Citations per field
00.5×7.7×
G. A. M. de Vaan · 1×
Citations per year

Countries citing papers authored by S. Fairhead

Since Specialization
Citations

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

Fields of papers citing papers by S. Fairhead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 198789
2 198382
3 198577
4 198257
5
Translocations t(14;18) and t(8;14) with rearranged bcl-2 and c-myc in a case presenting as B-ALL (L3).
199131
6 199224
7 198322
8 198515
9 198211
10 196910
11 19875
12 19815

About S. Fairhead

S. Fairhead is a scholar working on Hematology, Surgery, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 12 papers that have together received 428 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Transplantation: Methods and Outcomes (4 papers), Lymphoma Diagnosis and Treatment (2 papers), Blood disorders and treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Viral-associated cancers and disorders (2 papers), Mesenchymal stem cell research (1 paper) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Hematology (239 citations), Transplantation (46 citations), Genetics (91 citations), Dermatology (64 citations) and Infectious Diseases (82 citations). S. Fairhead has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include E. C. Gordon‐Smith, P. M. Chipping, Jill Hows, E. C. Gordon‐Smith, Jean‐Yves Muller, Jean‐Jacques Lefrère, Anne‐Marie Couroucé, Philip P. Mortimer, D. C. O. James and Mike Clark. Their work appears in journals such as British Journal of Haematology, Blood, The Lancet, Scandinavian Journal of Haematology and Australian and New Zealand Journal of 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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