A Keiserud

557 citations
10 papers · 98 · h-index 6

Impact in

    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Animal Genetics and Reproduction

Papers in

    • Molecular Biology Techniques and Applications 9
    • Protein Kinase Regulation and GTPase Signaling 1
    • Signaling Pathways in Disease 1
    • RNA and protein synthesis mechanisms 1
    • Genetic Mapping and Diversity in Plants and Animals 9
    • Genetic and phenotypic traits in livestock 6

A Keiserud

10 papers receiving 95 citations

Peers

A Keiserud
Comparison fields: 5 of 34
  • Genetics 39
  • Physiology 4
  • Molecular Biology 53
  • Cell Biology 10
  • Immunology 11
Replace Eishi Funakoshi with:
Eishi Funakoshi Japan
Katsuji Murakawa Japan
Tiziana Bardaro Italy
Olga Fernando Portugal
Mary Barnstead United States
Jakub Klapecki Poland
Heather Trumbower United States
Rebecca Roche Pickin United States
Rui R. Catarino Austria
Endre Bakken Stovner Norway
A Keiserud relative to Eishi Funakoshi Japan Eishi Funakoshi's profile →
Citations per field
00.5×1.5×1.8×
Eishi Funakoshi · 1×
Citations per year

Countries citing papers authored by A Keiserud

Since Specialization
Citations

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

Fields of papers citing papers by A Keiserud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside A Keiserud, 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 A Keiserud Line = papers co-authored together A Keiserud links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 199160
2 19947
3 19955
4 19955
5 19955
6 19945
7
A polymorphic porcine dinucleotide repeat S0301 (BHT12) at chromosome 4p15
19943
8 19953
9
A polymorphic porcine dinucleotide repeat S0297 (BHT 164) at chromosome 6p14-p15.
19943
10 19952

About A Keiserud

A Keiserud is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 98 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Molecular Biology Techniques and Applications (9 papers), Genetic and phenotypic traits in livestock (6 papers), Animal Virus Infections Studies (3 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Signaling Pathways in Disease (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Genetics (39 citations), Physiology (4 citations), Molecular Biology (53 citations), Cell Biology (10 citations) and Immunology (11 citations). A Keiserud has collaborated with scholars based in United Kingdom, Norway and France. Frequent co-authors include Rigmor Solberg, Kjetil Taskén, Tore Jahnsen, Bjørn Høyheim, Preben D. Thomsen, G. Frelat, Brigitte Chaput, Annette Schmitz and William A. Davies. Their work appears in journals such as Animal Genetics, Biochemical and Biophysical Research Communications and PubMed.

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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