Frida Persson

495 citations
8 papers · 405 · h-index 8

Impact in

Papers in

Frida Persson

8 papers receiving 394 citations

Peers

Frida Persson
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 234
  • Equine 12
  • Small Animals 32
  • Cellular and Molecular Neuroscience 50
  • Virology 12
Replace Richard T. Wiedmann with:
Richard T. Wiedmann United States
Matt Davies United States
Walter E. Weirich United States
Christelle Villeneuve France
Firas Bassissi France
Vyronia Vassilakopoulou Greece
Ann M. Mitzey United States
B. M. Smith United States
DeAnna Friedman-Klabanoff United States
Yoshiyuki Sakai Japan
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Citations per field
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Richard T. Wiedmann · 1×
Citations per year

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-authors

The 24 scholars most cited alongside Frida Persson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frida Persson Line = papers co-authored together Frida Persson links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006126
2 200760
3
Comparison of serum amyloid A and C-reactive protein as diagnostic markers of systemic inflammation in dogs.
201454
4 200547
5 200646
6 201330
7 200530
8 201212

About Frida Persson

Frida Persson is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Small Animals and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 405 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (3 papers), Animal health and immunology (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Pancreatitis Pathology and Treatment (2 papers), Neuroscience and Neural Engineering (1 paper), Veterinary Equine Medical Research (1 paper) and Venomous Animal Envenomation and Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (234 citations), Equine (12 citations), Small Animals (32 citations), Cellular and Molecular Neuroscience (50 citations) and Virology (12 citations). Frida Persson has collaborated with scholars based in Sweden, South Africa and Denmark. Frequent co-authors include Göran Duker, Ingemar Jacobson, Leif Carlsson, Mads Kjelgaard‐Hansen, Amelia Goddard, Rebecca Langhorn, Lena Carlsson, A. M. Davis, Tim Hammond and Ben G. Small. Their work appears in journals such as Journal of Veterinary Emergency and Critical Care, Journal of Cardiovascular Pharmacology, European Journal of Pharmacology, Journal of Cardiovascular Electrophysiology and Journal of Veterinary Medical Science.

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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