Persia Bonella

1.1k total citations · 1 hit paper
5 papers, 755 citations indexed

About

Persia Bonella is a scholar working on Immunology, Surgery and Hematology. According to data from OpenAlex, Persia Bonella has authored 5 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Surgery and 2 papers in Hematology. Recurrent topics in Persia Bonella's work include T-cell and B-cell Immunology (3 papers), Diabetes and associated disorders (2 papers) and Immune Cell Function and Interaction (2 papers). Persia Bonella is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Diabetes and associated disorders (2 papers) and Immune Cell Function and Interaction (2 papers). Persia Bonella collaborates with scholars based in United States, Sweden and Australia. Persia Bonella's co-authors include Priscilla Moonsamy, Anna Lisa Fear, Josyf C. Mychaleckyj, Eva Lavant, Janelle A. Noble, Ana M. Valdes, Joyce Carlson, Patrick Concannon, John A. Todd and Lisbeth A. Blake and has published in prestigious journals such as Diabetes, Human Immunology and Tissue Antigens.

In The Last Decade

Persia Bonella

5 papers receiving 745 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

HLA DR-DQ Haplotypes and Genotypes and Type 1 Diabetes Risk

2008 570 citations Ana M. Valdes, Janelle A. Noble et al. Diabetes profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Persia Bonella United States	3	504	338	295	250	103	5	755
Priscilla Moonsamy United States	14	776 1.5×	488 1.4×	410 1.4×	557 2.2×	164 1.6×	23	1.3k
Michele P. Marron United States	16	619 1.2×	354 1.0×	237 0.8×	412 1.6×	104 1.0×	21	804
Chantal Lotton France	10	332 0.7×	161 0.5×	112 0.4×	368 1.5×	126 1.2×	14	757
George P. Bondinas Greece	9	209 0.4×	135 0.4×	97 0.3×	186 0.7×	57 0.6×	18	408
R C Giles United States	11	277 0.5×	151 0.4×	119 0.4×	504 2.0×	133 1.3×	14	803
Fariba Vaziri‐Sani Sweden	17	492 1.0×	407 1.2×	324 1.1×	389 1.6×	67 0.7×	34	922
Matthew J. Dufort United States	11	244 0.5×	144 0.4×	124 0.4×	210 0.8×	65 0.6×	16	451
Mickie Cheng United States	12	195 0.4×	40 0.1×	125 0.4×	284 1.1×	137 1.3×	20	618
Eri Kikkawa Japan	14	99 0.2×	129 0.4×	38 0.1×	259 1.0×	146 1.4×	35	630
Hernan A. Bazán United States	18	195 0.4×	330 1.0×	19 0.1×	95 0.4×	395 3.8×	57	1.2k

Countries citing papers authored by Persia Bonella

Since Specialization

Citations

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

Fields of papers citing papers by Persia Bonella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Persia Bonella

This figure shows the co-authorship network connecting the top 25 collaborators of Persia Bonella. A scholar is included among the top collaborators of Persia Bonella 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 Persia Bonella. Persia Bonella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Moonsamy, Priscilla, Persia Bonella, Cherie L. Holcomb, et al.. (2013). High throughput HLA genotyping using 454 sequencing and the Fluidigm Access Array™ system for simplified amplicon library preparation. Tissue Antigens. 81(3). 141–149. 130 indexed citations

2.

Moonsamy, Priscilla, Persia Bonella, Timothy C. Williams, et al.. (2011). 201-P Use of the Fluidigm® access Array™ system provides simplified amplicon library preparation in next generation sequencing for high throughput HLA genotyping. Human Immunology. 72. S142–S142. 1 indexed citations

3.

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

4.

Moonsamy, Priscilla, et al.. (2009). The identification of a new HLA‐DPB1 allele (*1302) in one family and the detection of a recombination event between the DR and the DQ regions in another Caucasian T1DGC family. Tissue Antigens. 74(3). 268–270. 2 indexed citations

5.

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 →

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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