Sonia Q. Doi

505 total citations
16 papers, 426 citations indexed

About

Sonia Q. Doi is a scholar working on Molecular Biology, Surgery and Transplantation. According to data from OpenAlex, Sonia Q. Doi has authored 16 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Transplantation. Recurrent topics in Sonia Q. Doi's work include Renal Transplantation Outcomes and Treatments (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Sonia Q. Doi is often cited by papers focused on Renal Transplantation Outcomes and Treatments (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Sonia Q. Doi collaborates with scholars based in United States, Brazil and Chile. Sonia Q. Doi's co-authors include A. Dubois, Cristina Semino‐Mora, Ingemar Carlstedt, Aileen M. Marty, Vlado Simko, Mário Hiroyuki Hirata, Xiaoming Zhou, Przemyslaw Hirszel, Rosário Dominguez Crespo Hirata and Donald F. Sellitti and has published in prestigious journals such as PLoS ONE, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Sonia Q. Doi

16 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sonia Q. Doi United States	11	183	105	101	78	48	16	426
Carmen Gómez Spain	9	113 0.6×	62 0.6×	41 0.4×	82 1.1×	32 0.7×	14	336
E. G. Seidman Canada	12	207 1.1×	107 1.0×	74 0.7×	55 0.7×	23 0.5×	30	479
Rocío García de la Garza Spain	8	88 0.5×	104 1.0×	61 0.6×	55 0.7×	71 1.5×	14	461
Carlos Alberto Mayora Aita Brazil	12	139 0.8×	119 1.1×	52 0.5×	21 0.3×	7 0.1×	27	448
Brian P. Boerner United States	10	246 1.3×	144 1.4×	19 0.2×	194 2.5×	18 0.4×	13	538
Matthias Strobl Germany	9	78 0.4×	90 0.9×	79 0.8×	33 0.4×	6 0.1×	11	422
Tonghai Xing China	14	118 0.6×	123 1.2×	48 0.5×	52 0.7×	24 0.5×	28	491
Marco Busutti Italy	8	38 0.2×	76 0.7×	29 0.3×	17 0.2×	36 0.8×	28	291
Luigi Porcaro Italy	12	83 0.5×	96 0.9×	85 0.8×	7 0.1×	21 0.4×	22	450
George Tsoulfas United States	9	233 1.3×	80 0.8×	63 0.6×	42 0.5×	11 0.2×	15	411

Countries citing papers authored by Sonia Q. Doi

Since Specialization

Citations

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

Fields of papers citing papers by Sonia Q. Doi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonia Q. Doi. 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 Sonia Q. Doi. The network helps show where Sonia Q. Doi may publish in the future.

Co-authorship network of co-authors of Sonia Q. Doi

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Genvigir, Fabiana Dalla Vecchia, Cláudia Rosso Felipe, Hélio Tedesco‐Silva, et al.. (2020). Differential expression of genes related to calcineurin and mTOR signaling and regulatory miRNAs in peripheral blood from kidney recipients under tacrolimus-based therapy. Annals of Translational Medicine. 8(17). 1051–1051. 5 indexed citations

Freitas, Renata Caroline Costa de, Raul Hernandes Bortolin, Fabiana Dalla Vecchia Genvigir, et al.. (2020). Differentially Expressed Urinary Exo-miRs and Clinical Outcomes in Kidney Recipients on Short-Term Tacrolimus Therapy: A Pilot Study. Epigenomics. 12(22). 2019–2034. 11 indexed citations

Genvigir, Fabiana Dalla Vecchia, Cláudia Rosso Felipe, Hélio Tedesco‐Silva, et al.. (2017). Influence of ABCC 2, CYP 2C8 , and CYP 2J2 Polymorphisms on Tacrolimus and Mycophenolate Sodium–Based Treatment in Brazilian Kidney Transplant Recipients. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 37(5). 535–545. 29 indexed citations

Genvigir, Fabiana Dalla Vecchia, Cláudia Rosso Felipe, Álvaro Cerda, et al.. (2016). Influence of the CYP3A4/5 genetic score and ABCB1 polymorphisms on tacrolimus exposure and renal function in Brazilian kidney transplant patients. Pharmacogenetics and Genomics. 26(10). 462–472. 32 indexed citations

Ururahy, Marcela Abbott Galvão, Karla Simone Costa de Souza, João Felipe Bezerra, et al.. (2014). Association of polymorphisms in IL6 gene promoter region with type 1 diabetes and increased albumin‐to‐creatinine ratio. Diabetes/Metabolism Research and Reviews. 31(5). 500–506. 26 indexed citations

Neto, Lídio Gonçãlves Lima, Rosário Dominguez Crespo Hirata, André Ducati Luchessi, et al.. (2009). Detection of the TLR4 1196C>T Polymorphism by Mismatched-Polymerase Chain Reaction Using Plasmid DNA as Internal Control in Restriction Fragment Length Polymorphism Assays. Genetic Testing and Molecular Biomarkers. 13(3). 343–347. 5 indexed citations

Rezende, Adriana Augusto de, et al.. (2009). Lysophosphatidylcholine increases C-type natriuretic peptide expression in human vascular smooth muscle cells via membrane distortion. Vascular Pharmacology. 51(1). 29–36. 8 indexed citations

Rahman, Md Arifur, et al.. (2008). Specific and Sensitive Detection of H. pylori in Biological Specimens by Real-Time RT-PCR and In Situ Hybridization. PLoS ONE. 3(7). e2689–e2689. 36 indexed citations

Sellitti, Donald F., Enrico Fuini Puggina, Cláudia Jacques Lagranha, et al.. (2007). TGF-.BETA.-like Transcriptional Effects of Thyroglobulin (Tg) in Mouse Mesangial Cells. Endocrine Journal. 54(3). 449–458. 10 indexed citations

10.

Hirata, Rosário Dominguez Crespo, Donald F. Sellitti, Gavin P. Riordan, et al.. (2005). Growth hormone promotes glomerular lipid accumulation in bGH mice. Kidney International. 68(5). 2019–2028. 17 indexed citations

11.

Doi, Sonia Q., et al.. (2005). Molecular characterization of Helicobacter pylori strains isolated from cynomolgus monkeys (M. fascicularis). Veterinary Microbiology. 108(1-2). 133–139. 8 indexed citations

12.

Zhou, Xiaoming, Guang Yang, Christopher A. Davis, et al.. (2003). Hydrogen peroxide mediates FK506-induced cytotoxicity in renal cells. Kidney International. 65(1). 139–147. 41 indexed citations

13.

Zhou, Xiaoming, et al.. (2003). Stimulation of Na,K-ATPase by low potassium requires reactive oxygen species. American Journal of Physiology-Cell Physiology. 285(2). C319–C326. 47 indexed citations

14.

Semino‐Mora, Cristina, Sonia Q. Doi, Aileen M. Marty, et al.. (2003). Intracellular and Interstitial Expression ofHelicobacter pyloriVirulence Genes in Gastric Precancerous Intestinal Metaplasia and Adenocarcinoma. The Journal of Infectious Diseases. 187(8). 1165–1177. 112 indexed citations

15.

Hirata, Rosário Dominguez Crespo, et al.. (2003). Growth Hormone Increases Low-Density Lipoprotein Receptor and HMG-CoA Reductase mRNA Expression in Mesangial Cells. Nephron Experimental Nephrology. 93(4). e134–e140. 6 indexed citations

16.

Doi, Sonia Q., Terry A. Jacot, Donald F. Sellitti, et al.. (2000). Growth Hormone Increases Inducible Nitric Oxide Synthase Expression in Mesangial Cells. Journal of the American Society of Nephrology. 11(8). 1419–1425. 33 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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