Wilma Β. Bias
- Immunology and Allergy top 0.5%
- Allergic Rhinitis and Sensitization 17
- Food Allergy and Anaphylaxis Research 12
- Rheumatology top 0.2%
- Systemic Lupus Erythematosus Research 26
- Spondyloarthritis Studies and Treatments 11
- Immunology top 0.5%
- T-cell and B-cell Immunology 32
- Immune Cell Function and Interaction 14
- Immunodeficiency and Autoimmune Disorders 13
- Hematology top 0.5%
- Blood groups and transfusion 12
- Dermatology top 0.5%
- Co-authors
- Frank C. ArnettDavid G. MarshThomas T. ProvostMarc C. HochbergDeborah A. MeyersMorris ReichlinSusan H. HsuElaine L. Alexander
- Journals
- Science (4 papers)New England Journal of Medicine (5 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Wilma Β. Bias
157 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Immunology and Allergy 911
- Rheumatology 2.2k
- Immunology 2.7k
- Hematology 1.1k
- Dermatology 676
Countries citing papers authored by Wilma Β. Bias
This map shows the geographic impact of Wilma Β. 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 Wilma Β. Bias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilma Β. Bias more than expected).
Fields of papers citing papers by Wilma Β. Bias
This network shows the impact of papers produced by Wilma Β. 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 Wilma Β. Bias. The network helps show where Wilma Β. Bias may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wilma Β. Bias, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 23 | |
| 2 | 1996 | 9 | |
| 3 | 1995 | 22 | |
| 4 | 1994 | 60 | |
| 5 | 1993 | 48 | |
| 6 | 1989 | 139 | |
| 7 | 1989 | 54 | |
| 8 | 1989 | 76 | |
| 9 | 1988 | 144 | |
| 10 | 1988 | 159 | |
| 11 | 1988 | 3 | |
| 12 | 1988 | 12 | |
| 13 | 1987 | 14 | |
| 14 | Immune response to Amb a VI (Ra6) is associated with HLA-DR5 in allergic humans | 1986 | 1 |
| 15 | 1982 | 78 | |
| 16 | Selected genetic markers of blood and secretions for youths 12-17 years of age. | 1980 | 3 |
| 17 | 1978 | 1 | |
| 18 | Human gene mapping 3 : Baltimore Conference (1975) | 1976 | 11 |
| 19 | 1976 | 4 | |
| 20 | 1975 | 0 |
About Wilma Β. Bias
Wilma Β. Bias is a scholar working on Immunology and Allergy, Immunology and Rheumatology, having authored 160 papers that have together received 7.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (32 papers), Systemic Lupus Erythematosus Research (26 papers), Allergic Rhinitis and Sensitization (17 papers), Immune Cell Function and Interaction (14 papers), Immunodeficiency and Autoimmune Disorders (13 papers), Food Allergy and Anaphylaxis Research (12 papers), Blood groups and transfusion (12 papers) and Spondyloarthritis Studies and Treatments (11 papers). The work is most often cited by research in Immunology and Allergy (911 citations), Rheumatology (2.2k citations) and Immunology (2.7k citations). Wilma Β. Bias has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Frank C. Arnett, David G. Marsh, Thomas T. Provost, Marc C. Hochberg, Deborah A. Meyers, Morris Reichlin, Susan H. Hsu, Elaine L. Alexander, John B. Harley and Mary Betty Stevens. Their work appears in journals such as Science, New England Journal of Medicine 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.