Wilma Β. Bias

9.6k total citations · 1 hit paper
160 papers, 7.3k citations indexed

About

Wilma Β. Bias is a scholar working on Immunology, Rheumatology and Molecular Biology. According to data from OpenAlex, Wilma Β. Bias has authored 160 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Immunology, 39 papers in Rheumatology and 30 papers in Molecular Biology. Recurrent topics in Wilma Β. Bias's work include T-cell and B-cell Immunology (32 papers), Systemic Lupus Erythematosus Research (26 papers) and Allergic Rhinitis and Sensitization (17 papers). Wilma Β. Bias is often cited by papers focused on T-cell and B-cell Immunology (32 papers), Systemic Lupus Erythematosus Research (26 papers) and Allergic Rhinitis and Sensitization (17 papers). Wilma Β. Bias collaborates with scholars based in United States, Canada and United Kingdom. Wilma Β. Bias's 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 and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Wilma Β. Bias

157 papers receiving 6.9k citations

Hit Papers

Marrow Transplantation for Acute Nonlymphocytic Leukemia ... 1983 2026 1997 2011 1983 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wilma Β. Bias United States 47 2.7k 2.2k 1.3k 1.1k 1.1k 160 7.3k
Thomas J. Lawley United States 44 1.8k 0.7× 1.6k 0.7× 549 0.4× 806 0.7× 507 0.5× 101 7.7k
Allan Wiik Denmark 38 2.2k 0.8× 4.3k 2.0× 2.3k 1.7× 554 0.5× 514 0.5× 172 9.9k
L Aarden Netherlands 47 4.1k 1.5× 1.7k 0.8× 524 0.4× 1.2k 1.1× 470 0.4× 104 8.3k
Robert I. Fox United States 48 3.1k 1.2× 3.5k 1.6× 4.4k 3.3× 1.1k 1.0× 1.2k 1.1× 137 12.6k
Pierre Youinou France 56 5.4k 2.0× 4.2k 1.9× 2.7k 2.1× 1.1k 1.0× 1.3k 1.2× 476 12.6k
D Alarcón-Segovia Mexico 56 4.4k 1.7× 7.3k 3.3× 870 0.7× 1.7k 1.5× 1.2k 1.1× 342 12.3k
Patrick J Venables United Kingdom 47 1.7k 0.6× 3.5k 1.6× 817 0.6× 349 0.3× 634 0.6× 131 7.1k
David A. Horwitz United States 57 7.5k 2.8× 2.1k 1.0× 448 0.3× 626 0.6× 759 0.7× 129 10.6k
Pierre Galanaud France 44 4.4k 1.7× 1.4k 0.7× 728 0.6× 369 0.3× 407 0.4× 193 8.2k
G. R. V. Hughes United Kingdom 41 1.9k 0.7× 4.9k 2.3× 337 0.3× 1.9k 1.7× 684 0.6× 120 6.9k

Countries citing papers authored by Wilma Β. Bias

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Wilma Β. Bias

This figure shows the co-authorship network connecting the top 25 collaborators of Wilma Β. Bias. A scholar is included among the top collaborators of Wilma Β. Bias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wilma Β. Bias. Wilma Β. Bias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zachary, Andrea A., Arthur G. Steinberg, Wilma Β. Bias, & Mary S. Leffell. (1996). THE FREQUENCIES OF HLA ALLELES AND HAPLOTYPES AND THEIR DISTRIBUTION AMONG DONORS AND RENAL PATIENTS IN THE UNOS REGISTRY1. Transplantation. 62(2). 272–283. 39 indexed citations
2.
Gulwani-Akolkar, Beena, Bihong Shi, Pradip N. Akolkar, et al.. (1995). Do HLA genes play a prominent role in determining T cell receptor V alpha segment usage in humans?. The Journal of Immunology. 154(8). 3843–3851. 22 indexed citations
4.
Leffell, Mary S., Arthur G. Steinberg, Wilma Β. Bias, Carol Machan, & Andrea A. Zachary. (1994). THE DISTRIBUTION OF HLA ANTIGENS AND PHENOTYPES AMONG DONORS AND PATIENTS IN THE UNOS REGISTRY. Transplantation. 58(10). 1119–1130. 60 indexed citations
5.
Guethlein, Lisbeth A., Wilma Β. Bias, & Barbara J. Schmeckpeper. (1993). New DP sequences: Three DPA1 and one DPB1. Tissue Antigens. 41(5). 269–272. 8 indexed citations
6.
Bias, Wilma Β., et al.. (1990). Hypomorphic C4B 15 variant of the fourth component of complement. FEBS Letters. 260(2). 183–186. 5 indexed citations
7.
Ansari, Aftab A., Linda R. Freidhoff, Deborah A. Meyers, Wilma Β. Bias, & David G. Marsh. (1989). Human immune responsiveness to Lolium Perenne pollen allergen Lol p III (Rye III) is associated with HLA-DR3 and DR5. Human Immunology. 25(1). 59–71. 76 indexed citations
8.
Burdick, James F., Georgia B. Vogelsang, William J. Smith, et al.. (1988). Severe Graft-versus-Host Disease in a Liver-Transplant Recipient. New England Journal of Medicine. 318(11). 689–691. 144 indexed citations
9.
Khoury, Muin J., Bernice H. Cohen, Carol A. Newill, Wilma Β. Bias, & Victor A. McKusick. (1987). INBREEDING AND PREREPRODUCTIVE MORTALITY IN THE OLD ORDER AMISH. II. GENEALOGIC EPIDEMIOLOGY OF PREREPRODUCTIVE MORTALITY. American Journal of Epidemiology. 125(3). 462–472. 13 indexed citations
10.
Marsh, David G., Linda R. Freidhoff, Wilma Β. Bias, & Marianne Roebber. (1986). Immune response to Amb a VI (Ra6) is associated with HLA-DR5 in allergic humans. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 1 indexed citations
11.
Arnett, Frank C., et al.. (1982). Sacroiliitis in the old order Amish. American Journal of Medical Genetics. 12(3). 333–342. 1 indexed citations
12.
Marsh, David G., Deborah A. Meyers, & Wilma Β. Bias. (1981). The Epidemiology and Genetics of Atopic Allergy. New England Journal of Medicine. 305(26). 1551–1559. 232 indexed citations
13.
Cohen, Bernice H., Wilma Β. Bias, P V Hamill, T Drizd, & Earl L. Diamond. (1980). Selected genetic markers of blood and secretions for youths 12-17 years of age.. PubMed. 1–60. 3 indexed citations
14.
Abel, Thomas, Murray B. Urowitz, H A Smythe, et al.. (1978). Proceedings of the 42nd annual meeting of the american rheumatism association a section of the arthritis foundation june 1 & 2, 1978 new york city abstracts of papers presented. Arthritis & Rheumatism. 21(5). 539–606. 1 indexed citations
15.
Stark, Walter J., Hugh R. Taylor, Wilma Β. Bias, & A. Edward Maumenee. (1978). Histocompatibility (Hla) Antigens and Keratoplasty. American Journal of Ophthalmology. 86(5). 595–604. 51 indexed citations
16.
Bergsma, Daniel, Victor A. McKusick, & Wilma Β. Bias. (1976). Human gene mapping 3 : Baltimore Conference (1975). S. Karger eBooks. 11 indexed citations
17.
Weitkamp, L.R., et al.. (1976). Data on the genetic linkage relationships between red cell acid phosphatase and alpha<sub>1</sub>-antitrypsin variants Z, S, I, and F. Cytogenetic and Genome Research. 16(1-5). 359–363. 4 indexed citations
18.
Bias, Wilma Β., D. S. Borgaonkar, Raju Kucherlapati, & F.H. Ruddle. (1975). Lymphocytotoxicity inhibition: a reliable method for HL-A typing of cultured cell lines. Cytogenetic and Genome Research. 14(3-6). 241–246.
19.
Borgaonkar, Digamber S. & Wilma Β. Bias. (1974). <i>HL-A</i> Loci and Chromosome 6. Cytogenetic and Genome Research. 13(1-2). 67–68. 5 indexed citations
20.
Harper, P.S., Wilma Β. Bias, J. Hutchinson, & V.A. McKusick. (1971). ABH secretor status of the fetus: a genetic marker identifiable by amniocentesis.. Journal of Medical Genetics. 8(4). 438–440. 25 indexed citations

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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