Aina Iversen

29 papers receiving 1.4k citations

Peers

Aina Iversen
Comparison fields: 5 of 87
  • Molecular Medicine 551
  • Applied Microbiology and Biotechnology 113
  • Endocrinology 206
  • Clinical Biochemistry 169
  • Parasitology 167
Replace Annamari Heikinheimo with:
Annamari Heikinheimo Finland
Alexandre Gonçalves Portugal
G. Feierl Austria
Olivier Barraud France
Rita Finley Canada
Marthie M. Ehlers South Africa
Jürgen Gebel Germany
Ragini Macaden India
Hetty Blaak Netherlands
J. Natalia Jiménez Colombia
Aina Iversen relative to Annamari Heikinheimo Finland Annamari Heikinheimo's profile →
Citations per field
00.5×3.2×
Annamari Heikinheimo · 1×
Citations per year

Countries citing papers authored by Aina Iversen

Since Specialization
Citations

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

Fields of papers citing papers by Aina Iversen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002152
2 2006133
3 2011120
4 2001107
5 2005105
6 200395
7 200366
8 200159
9 201459
10 201653
11 200350
12 201143
13 201340
14 200438
15 201237
16 201337
17 201134
18 201330
19 201328
20 201227

About Aina Iversen

Aina Iversen is a scholar working on Molecular Medicine, Endocrinology, Molecular Biology, Clinical Biochemistry and Infectious Diseases, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Bacterial Identification and Susceptibility Testing (6 papers), Enterobacteriaceae and Cronobacter Research (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Bacterial biofilms and quorum sensing (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Pneumonia and Respiratory Infections (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Molecular Medicine (551 citations), Applied Microbiology and Biotechnology (113 citations), Endocrinology (206 citations), Clinical Biochemistry (169 citations) and Parasitology (167 citations). Aina Iversen has collaborated with scholars based in Sweden, United Kingdom and Spain. Frequent co-authors include Christian G. Giske, Inger Kühn, Roland Möllby, Anders Franklin, Anicet R. Blanch, Huw Taylor, Corinne Amar, Susana Pedraza‐Díaz, Jim McLauchlin and X Vilanova. Their work appears in journals such as Apmis, PLoS ONE, Applied and Environmental Microbiology, European Journal of Clinical Microbiology & Infectious Diseases and Clinical Microbiology and Infection.

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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