Frida Persson

495 total citations
8 papers, 387 citations indexed

About

Frida Persson is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Frida Persson has authored 8 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Frida Persson's work include Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (4 papers) and Animal health and immunology (2 papers). Frida Persson is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (4 papers) and Animal health and immunology (2 papers). Frida Persson collaborates with scholars based in Sweden, South Africa and Denmark. Frida Persson's co-authors include Ingemar Jacobson, Göran Duker, Leif Carlsson, Mads Kjelgaard‐Hansen, Rebecca Langhorn, Amelia Goddard, Lena Carlsson, Najah Abi‐Gerges, A. M. Davis and C.E. Pollard and has published in prestigious journals such as European Journal of Pharmacology, Journal of Cardiovascular Electrophysiology and Journal of Cardiovascular Pharmacology.

In The Last Decade

Frida Persson

8 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frida Persson Sweden	8	232	208	58	40	27	8	387
Narayan R. Raju United States	11	66 0.3×	54 0.3×	36 0.6×	10 0.3×	27 1.0×	25	309
Richard J. Rozek United States	7	40 0.2×	51 0.2×	32 0.6×	18 0.5×	29 1.1×	8	313
L Guerrero Mexico	4	29 0.1×	62 0.3×	22 0.4×	5 0.1×	19 0.7×	8	392
Edoardo Schneider Italy	7	53 0.2×	149 0.7×	9 0.2×	1 0.0×	12 0.4×	8	617
Ann M. Mitzey United States	9	26 0.1×	70 0.3×	19 0.3×	16 0.4×	6 0.2×	15	246
Richard T. Wiedmann United States	13	186 0.8×	161 0.8×	53 0.9×	1 0.0×	24 0.9×	25	478
G. Cseke United States	7	47 0.2×	80 0.4×	29 0.5×		26 1.0×	8	314
Nishi Patel United States	9	45 0.2×	182 0.9×	15 0.3×		52 1.9×	26	342
Walter E. Weirich United States	9	152 0.7×	45 0.2×	7 0.1×	30 0.8×	39 1.4×	18	321
E. Yu. Bragina Russia	11	14 0.1×	126 0.6×	14 0.2×	3 0.1×	15 0.6×	47	324

Countries citing papers authored by Frida Persson

Since Specialization

Citations

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

Fields of papers citing papers by Frida Persson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frida Persson

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

All Works

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8 of 8 papers shown

Langhorn, Rebecca, Amelia Goddard, Asta Tvarijonaviciute, et al.. (2014). Comparison of serum amyloid A and C-reactive protein as diagnostic markers of systemic inflammation in dogs.. PubMed. 55(2). 161–8. 53 indexed citations

Langhorn, Rebecca, Frida Persson, Amelia Goddard, et al.. (2013). Myocardial injury in dogs with snake envenomation and its relation to systemic inflammation. Journal of Veterinary Emergency and Critical Care. 24(2). 174–181. 30 indexed citations

Langhorn, Rebecca, et al.. (2012). Canine Serum Amyloid A (SAA) Measured by Automated Latex Agglutination Turbidimetry Is Useful for Routine Sensitive and Specific Detection of Systemic Inflammation in a General Clinical Setting. Journal of Veterinary Medical Science. 75(4). 459–466. 11 indexed citations

Persson, Frida. (2007). Mechanism of Action of the Antiarrhythmic Agent AZD7009. Gothenburg University Publications Electronic Archive (Gothenburg University). 57 indexed citations

Easter, Alison, Mei Ding, A. M. Davis, et al.. (2006). Optimisation and validation of a medium-throughput electrophysiology-based hERG assay using IonWorks™ HT. Journal of Pharmacological and Toxicological Methods. 54(2). 189–199. 118 indexed citations

Persson, Frida, et al.. (2006). Functional effects of the late sodium current inhibition by AZD7009 and lidocaine in rabbit isolated atrial and ventricular tissue and Purkinje fibre. European Journal of Pharmacology. 558(1-3). 133–143. 44 indexed citations

Persson, Frida, Leif Carlsson, Göran Duker, & Ingemar Jacobson. (2005). Blocking Characteristics of hERG, hNav1.5, and hKvLQT1/hminK after Administration of the Novel Anti‐Arrhythmic Compound AZD7009. Journal of Cardiovascular Electrophysiology. 16(3). 329–341. 45 indexed citations

Persson, Frida, Leif Carlsson, Göran Duker, & Ingemar Jacobson. (2005). Blocking Characteristics of hKv1.5 and hKv4.3/hKChIP2.2 After Administration of the Novel Antiarrhythmic Compound AZD7009. Journal of Cardiovascular Pharmacology. 46(1). 7–17. 29 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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