Aina Nedal

476 citations
10 papers · 388 · h-index 9

Impact in

Papers in

    • DNA Repair Mechanisms 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Glycosylation and Glycoproteins Research 2
    • Genomics and Chromatin Dynamics 2
    • Ubiquitin and proteasome pathways 1
    • Carbohydrate Chemistry and Synthesis 2

Aina Nedal

10 papers receiving 381 citations

Peers

Aina Nedal
Comparison fields: 5 of 63
  • Biotechnology 49
  • Pharmacology 81
  • Molecular Biology 266
  • Genetics 61
  • Microbiology 12
Replace Tomomi Sumida with:
Tomomi Sumida Japan
Michael Meltzer Germany
BETH R. FROMMER United States
Phuong Tran United States
Lin‐Ya Huang Taiwan
Fu Yan China
Harumi Chiba Japan
Rebecca A. Splain United States
Emmanuel Favry France
Shyamasri Biswas United States
Aina Nedal relative to Tomomi Sumida Japan Tomomi Sumida's profile →
Citations per field
00.5×1.5×2.3×
Tomomi Sumida · 1×
Citations per year

Countries citing papers authored by Aina Nedal

Since Specialization
Citations

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

Fields of papers citing papers by Aina Nedal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aina Nedal, 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 Aina Nedal Line = papers co-authored together Aina Nedal links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200681
2 200464
3 200863
4 201552
5 200440
6 200732
7 200122
8 202017
9 201816
10 20241

About Aina Nedal

Aina Nedal is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 388 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Glycosylation and Glycoproteins Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biotechnology (49 citations), Pharmacology (81 citations), Molecular Biology (266 citations), Genetics (61 citations) and Microbiology (12 citations). Aina Nedal has collaborated with scholars based in Norway, Australia and Russia. Frequent co-authors include Sergey B. Zotchev, Trond E. Ellingsen, Håvard Sletta, Marit Otterlei, Svein Valla, Sigrid Hakvåg, Trond Erik Vee Aune, Trygve Brautaset, Rebekka Müller and Sven Even Borgos. Their work appears in journals such as Applied and Environmental Microbiology, Cellular Signalling, Applied Microbiology and Biotechnology, Cancers and Nucleic Acids Research.

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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