Priscilla Moonsamy

1.9k total citations · 1 hit paper
23 papers, 1.3k citations indexed

About

Priscilla Moonsamy is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, Priscilla Moonsamy has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 8 papers in Genetics and 5 papers in Surgery. Recurrent topics in Priscilla Moonsamy's work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (10 papers) and Diabetes and associated disorders (6 papers). Priscilla Moonsamy is often cited by papers focused on T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (10 papers) and Diabetes and associated disorders (6 papers). Priscilla Moonsamy collaborates with scholars based in United States, United Kingdom and Switzerland. Priscilla Moonsamy's co-authors include Janelle A. Noble, Ana M. Valdes, Anna Lisa Fear, Eva Lavant, Joyce Carlson, Josyf C. Mychaleckyj, Patrick Concannon, Persia Bonella, John A. Todd and A. B. Begovich and has published in prestigious journals such as Blood, Diabetes and Scientific Reports.

In The Last Decade

Priscilla Moonsamy

18 papers receiving 1.3k citations

Hit Papers

HLA DR-DQ Haplotypes and Genotypes and Type 1 Diabetes Risk 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Priscilla Moonsamy United States 14 776 557 488 410 164 23 1.3k
Seiho Nagafuchi Japan 18 441 0.6× 647 1.2× 257 0.5× 277 0.7× 255 1.6× 85 1.4k
Julie Auger United States 14 1.0k 1.3× 876 1.6× 655 1.3× 584 1.4× 276 1.7× 22 2.0k
B. Pedini Italy 21 587 0.8× 269 0.5× 287 0.6× 776 1.9× 76 0.5× 45 1.5k
Sandra Laban Netherlands 25 526 0.7× 1.3k 2.3× 378 0.8× 263 0.6× 281 1.7× 30 1.9k
Persia Bonella United States 3 504 0.6× 250 0.4× 338 0.7× 295 0.7× 103 0.6× 5 755
J Barbosa United States 14 498 0.6× 380 0.7× 291 0.6× 229 0.6× 133 0.8× 20 857
Julie A. Lane United States 16 418 0.5× 358 0.6× 267 0.5× 228 0.6× 208 1.3× 27 1.1k
Zdenka Fronek United States 10 387 0.5× 912 1.6× 131 0.3× 94 0.2× 113 0.7× 13 1.4k
Michael R. Lee United States 6 320 0.4× 2.2k 4.0× 165 0.3× 85 0.2× 126 0.8× 8 2.6k
Alex Ilic United States 8 345 0.4× 640 1.1× 145 0.3× 86 0.2× 83 0.5× 10 940

Countries citing papers authored by Priscilla Moonsamy

Since Specialization
Citations

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

Fields of papers citing papers by Priscilla Moonsamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priscilla Moonsamy

This figure shows the co-authorship network connecting the top 25 collaborators of Priscilla Moonsamy. A scholar is included among the top collaborators of Priscilla Moonsamy 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 Priscilla Moonsamy. Priscilla Moonsamy 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
3.
Vehreschild, Maria J. G. T., Alison Kuchta, Christopher Dodoo, et al.. (2024). Kinetics of SARS-CoV-2 infection biomarkers in a household transmission study. Scientific Reports. 14(1). 12365–12365.
4.
Yamamoto, Fumiko, Bryan Höglund, Marcelo Fernández-Viña, et al.. (2015). Very high resolution single pass HLA genotyping using amplicon sequencing on the 454 next generation DNA sequencers: Comparison with Sanger sequencing. Human Immunology. 76(12). 910–916. 6 indexed citations
5.
Valdes, Ana M., et al.. (2012). Use of class I and class II HLA loci for predicting age at onset of type 1 diabetes in multiple populations. Diabetologia. 55(9). 2394–2401. 31 indexed citations
6.
Urayama, Kevin Y., Anand P. Chokkalingam, Catherine Metayer, et al.. (2012). HLA-DP genetic variation, proxies for early life immune modulation and childhood acute lymphoblastic leukemia risk. Blood. 120(15). 3039–3047. 18 indexed citations
7.
Noble, Janelle A., Ana M. Valdes, Michael D. Varney, et al.. (2010). HLA Class I and Genetic Susceptibility to Type 1 Diabetes. Diabetes. 59(11). 2972–2979. 185 indexed citations
8.
Varney, Michael D., Ana M. Valdes, Joyce Carlson, et al.. (2010). HLA DPA1, DPB1 Alleles and Haplotypes Contribute to the Risk Associated With Type 1 Diabetes. Diabetes. 59(8). 2055–2062. 52 indexed citations
10.
Valdes, Ana M., Janelle A. Noble, Joyce Carlson, et al.. (2008). HLA DR-DQ Haplotypes and Genotypes and Type 1 Diabetes Risk. Diabetes. 57(4). 1084–1092. 570 indexed citations breakdown →
11.
Steiner, Lori, Priscilla Moonsamy, Teodorica L. Bugawan, & Ann B. Begovich. (2003). HLA-DPA1 and -DPB1 Typing Using the PCR and Nonradioactive Sequence-Specific Oligonucleotide Probes. Humana Press eBooks. 210. 113–142.
12.
Moonsamy, Priscilla, et al.. (2002). Two new HLA‐B alleles, B*4422 and B*4704, identified in a study of families with autoimmunity. Tissue Antigens. 59(4). 338–340. 6 indexed citations
13.
Begovich, A. B., Priscilla Moonsamy, Steven J. Mack, et al.. (2001). Genetic variability and linkage disequilibrium within the HLA‐DP region: analysis of 15 different populations. Tissue Antigens. 57(5). 424–439. 64 indexed citations
14.
Mack, Steven J., Teodorica L. Bugawan, Priscilla Moonsamy, et al.. (2000). Evolution of Pacific/Asian populations inferred from HLA class II allele frequency distributions. Tissue Antigens. 55(5). 383–400. 80 indexed citations
15.
Steiner, Lori, Deborah McCurdy, Alessandra Cavalli, Priscilla Moonsamy, & A. B. Begovich. (1997). Two new DPB1 alleles identified in a study of the genetics of susceptibility to pauciarticular juvenile rheumatoid arthritis. Tissue Antigens. 49(3). 262–266. 17 indexed citations
16.
Moonsamy, Priscilla, William Klitz, Marcel G.J. Tilanus, & A. B. Begovich. (1997). Genetic Variability and Linkage Disequilibrium Within the DP Region in the CEPH Families. Human Immunology. 58(2). 112–121. 14 indexed citations
17.
Moonsamy, Priscilla, Carrie Aldrich, E.W. Petersdorf, Adrian V. S. Hill, & A. B. Begovich. (1994). Seven new DPB1 alleles and their population distribution. Tissue Antigens. 43(4). 249–252. 27 indexed citations
18.
Begovich, Ann B., William Klitz, Priscilla Moonsamy, et al.. (1994). Genes within the HLA class II region confer both predisposition and resistance to primary biliary cirrhosis. Tissue Antigens. 43(2). 71–77. 72 indexed citations
19.
Moonsamy, Priscilla, V.C. Suraj, Teodorica L. Bugawan, et al.. (1992). Genetic diversity within the HLA Class II region: Ten new DPB1 alleles and their population distribution. Tissue Antigens. 40(3). 153–157. 41 indexed citations
20.
Moonsamy, Priscilla, V.C. Suraj, Teodorica L. Bugawan, et al.. (1992). Genetic diversity within the HLA Class II region: Ten new DPB1 alleles and their population distribution. Tissue Antigens. 40(4). 153–157. 16 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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