Rita Barallon

919 total citations
9 papers, 427 citations indexed

About

Rita Barallon is a scholar working on Pharmacology, Genetics and Economics and Econometrics. According to data from OpenAlex, Rita Barallon has authored 9 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Genetics and 3 papers in Economics and Econometrics. Recurrent topics in Rita Barallon's work include Pharmacogenetics and Drug Metabolism (5 papers), Pharmaceutical Economics and Policy (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Rita Barallon is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Pharmaceutical Economics and Policy (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Rita Barallon collaborates with scholars based in United Kingdom, Netherlands and Greece. Rita Barallon's co-authors include Rianne MF van Schie, Anke H. Maitland‐van der Zee, Mia Wadelius, Talitha I. Verhoef, Vangelis G. Manolopoulos, Anthonius de Boer, Ken Redekop, Frits R. Rosendaal, Ann K. Daly and F.J.M. van der Meer and has published in prestigious journals such as New England Journal of Medicine, Molecular Microbiology and Clinica Chimica Acta.

In The Last Decade

Rita Barallon

9 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rita Barallon United Kingdom 6 218 102 76 70 69 9 427
Giuliana Mombelli Italy 11 75 0.3× 40 0.4× 129 1.7× 18 0.3× 26 0.4× 31 514
BP Haynes United Kingdom 8 170 0.8× 91 0.9× 51 0.7× 89 1.3× 10 0.1× 8 433
Chang-Hong Jiang China 9 179 0.8× 42 0.4× 122 1.6× 46 0.7× 7 0.1× 14 478
Bi‐Lian Chen China 12 144 0.7× 130 1.3× 90 1.2× 10 0.1× 10 0.1× 21 471
Armin Kern Germany 9 83 0.4× 66 0.6× 166 2.2× 13 0.2× 10 0.1× 11 453
Benjamin Q. Duong United States 8 177 0.8× 13 0.1× 61 0.8× 36 0.5× 33 0.5× 16 343
Judi Weissinger United States 11 116 0.5× 17 0.2× 93 1.2× 30 0.4× 35 0.5× 22 448
Rachel Ryu United States 10 105 0.5× 57 0.6× 88 1.2× 14 0.2× 3 0.0× 18 438
Ismael Lares‐Asseff Mexico 12 138 0.6× 19 0.2× 76 1.0× 44 0.6× 5 0.1× 64 415
Steve Hill United Kingdom 6 60 0.3× 18 0.2× 49 0.6× 6 0.1× 35 0.5× 9 294

Countries citing papers authored by Rita Barallon

Since Specialization
Citations

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

Fields of papers citing papers by Rita Barallon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Barallon

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

All Works

9 of 9 papers shown
1.
Baranova, E.V., Talitha I. Verhoef, Georgia Ragia, et al.. (2017). Dosing algorithms for vitamin K antagonists across VKORC1 and CYP2C9 genotypes. Journal of Thrombosis and Haemostasis. 15(3). 465–472. 5 indexed citations
2.
Boer, Anthonius de, Talitha I. Verhoef, F.J.M. van der Meer, et al.. (2015). Comparison of dosing algorithms for acenocoumarol and phenprocoumon using clinical factors with the standard care in the Netherlands. Thrombosis Research. 136(1). 94–100. 1 indexed citations
3.
Verhoef, Talitha I., Georgia Ragia, Anthonius de Boer, et al.. (2013). A Randomized Trial of Genotype-Guided Dosing of Acenocoumarol and Phenprocoumon. New England Journal of Medicine. 369(24). 2304–2312. 162 indexed citations
4.
Howard, Rebecca, Vesela Encheva, J. A. Thomson, et al.. (2011). Comparative analysis of human mitochondrial DNA from World War I bone samples by DNA sequencing and ESI-TOF mass spectrometry. Forensic Science International Genetics. 7(1). 1–9. 12 indexed citations
5.
Howard, Rebecca, Julian Leathart, David J. French, et al.. (2011). Genotyping for CYP2C9 and VKORC1 alleles by a novel point of care assay with HyBeacon® probes. Clinica Chimica Acta. 412(23-24). 2063–2069. 26 indexed citations
6.
Verhoef, Talitha I., Ken Redekop, Josep Darbà, et al.. (2010). A Systematic Review of Cost–Effectiveness Analyses of Pharmacogenetic-Guided Dosing in Treatment with Coumarin Derivatives. Pharmacogenomics. 11(7). 989–1002. 18 indexed citations
7.
Schie, Rianne MF van, Mia Wadelius, Farhad Kamali, et al.. (2009). Genotype-Guided Dosing of Coumarin Derivatives: The European Pharmacogenetics of Anticoagulant Therapy (EU-PACT) Trial Design. Pharmacogenomics. 10(10). 1687–1695. 107 indexed citations
8.
Barallon, Rita. (2003). Species Determination by Analysis of the Cytochrome b Gene. Humana Press eBooks. 98. 251–260. 5 indexed citations
9.
Reeves, Philip J., David Whitcombe, Matthew I. Gibson, et al.. (1993). Molecular cloning and characterization of 13 out genes from Erwinia carotovora subspecies carotovora: genes encoding members of a general secretion pathway (GSP) widespread in Gram‐negative bacteria. Molecular Microbiology. 8(3). 443–456. 91 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026