WB Bias

702 citations
14 papers · 537 indexed · h-index 9

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Blood groups and transfusion
  • Genetics top 10%
    • Genomic variations and chromosomal abnormalities
    • Hemoglobinopathies and Related Disorders

Papers in

WB Bias

14 papers receiving 470 citations

Peers

WB Bias
Comparison fields: 5 of 62
  • Hematology 277
  • Genetics 120
  • Transplantation 13
  • Genetics 132
  • Immunology 97
Replace Cécile Masson with:
Cécile Masson France
J Dunn United Kingdom
Ann Friedman United States
Ugo Rovigatti United States
T. Funabiki Japan
Céline Villenet France
Barbara Adler‐Brecher United States
Laura Tonon Italy
Immacolata Brigida Italy
Jürgen Groet United Kingdom
WB Bias relative to Cécile Masson France Cécile Masson's profile →
Citations per field
00.5×5.0×
Cécile Masson · 1×
Citations per year

Countries citing papers authored by WB Bias

Since Specialization
Citations

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

Fields of papers citing papers by WB Bias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 198943
2 198438
3 198487
4
Specificity of immunological tolerance induced with cyclosporin A
19821
5
Analysis of factors related to bone marrow graft rejection in aplastic anemia: usefulness of measures of broad alloimmunity as predictors.
19815
6 197924
7 197883
8
Renal medullary cystic disease: a family study
19741
9
Allogeneic marrow grafts in man using cyclophosphamide.
197422
10
Identification of graft and host cells in bone marrow transplants by the quinacrine banding technique of chromosome identification.
197413
11 197322
12 19735
13
Hyperacute and acute fulminating rejection of human renal allografts.
19724
14 1968189

About WB Bias

WB Bias is a scholar working on Hematology, Transplantation, Genetics, Pharmacy and Orthopedics and Sports Medicine, having authored 14 papers that have together received 537 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Mesenchymal stem cell research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Blood groups and transfusion (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Nematode management and characterization studies (1 paper), Neutropenia and Cancer Infections (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Hematology (277 citations), Genetics (120 citations), Transplantation (13 citations), Genetics (132 citations) and Immunology (97 citations). WB Bias has collaborated with scholars based in United States, Canada and Jamaica. Frequent co-authors include J. H. Renwick, V A McKusick, PJ Tutschka, GW Santos, HG Braine, ER Farmer, WE Beschorner, Mellits Ed, Rein Saral and LL Sensenbrenner. Their work appears in journals such as Blood, Neurology, Clinical Genetics, Journal of Heredity and Proceedings of the National Academy of Sciences.

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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