Frida Persson

495 citations
8 papers · 387 · h-index 8

Impact in

Papers in

Frida Persson

8 papers receiving 378 citations

Peers

Frida Persson
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 232
  • Equine 14
  • Small Animals 40
  • Cellular and Molecular Neuroscience 58
  • Virology 15
Replace Walter E. Weirich with:
Walter E. Weirich United States
Narayan R. Raju United States
Salvador Hernández United States
Richard T. Wiedmann United States
L Guerrero Mexico
Richard J. Rozek United States
Katharina Hofmann Germany
Ann M. Mitzey United States
Matthew M. Halpert United States
R. Tédone France
Frida Persson relative to Walter E. Weirich United States Walter E. Weirich's profile →
Citations per field
00.5×8.3×
Walter E. Weirich · 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 2006118
2 200757
3
Comparison of serum amyloid A and C-reactive protein as diagnostic markers of systemic inflammation in dogs.
201453
4 200545
5 200644
6 201330
7 200529
8 201211

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 387 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (4 papers), Neuroscience and Neural Engineering (2 papers), Pancreatitis Pathology and Treatment (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Animal health and immunology (2 papers), Venomous Animal Envenomation and Studies (1 paper) and Cardiac pacing and defibrillation studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (232 citations), Equine (14 citations), Small Animals (40 citations), Cellular and Molecular Neuroscience (58 citations) and Virology (15 citations). Frida Persson has collaborated with scholars based in Sweden, South Africa and Denmark. Frequent co-authors include Ingemar Jacobson, Göran Duker, Leif Carlsson, Amelia Goddard, Mads Kjelgaard‐Hansen, Rebecca Langhorn, Lena Carlsson, Alison Easter, A. M. Davis and Elaine Sullivan. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Journal of Veterinary Emergency and Critical Care, European Journal of Pharmacology, Journal of Cardiovascular Electrophysiology and Journal of Pharmacological and Toxicological Methods.

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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