Inger Kühn

52 papers receiving 2.3k citations

Peers

Inger Kühn
Comparison fields: 5 of 128
  • Endocrinology 551
  • Molecular Medicine 365
  • Applied Microbiology and Biotechnology 111
  • Pollution 373
  • Clinical Biochemistry 184
Replace Roland Möllby with:
Roland Möllby Sweden
Mohammad Katouli Australia
Luke Masson Canada
Jean‐Marc Collard France
Francesca Biavasco Italy
Amy R. Sapkota United States
Elisabeth Grohmann Germany
Maurizio Labbate Australia
Claudine Quentin France
Maria Olívia Pereira Portugal
Inger Kühn relative to Roland Möllby Sweden Roland Möllby's profile →
Citations per field
00.5×1.5×
Roland Möllby · 1×
Citations per year

Countries citing papers authored by Inger Kühn

Since Specialization
Citations

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

Fields of papers citing papers by Inger Kühn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000219
2 2002167
3 2002160
4 2002152
5 2006150
6 1999134
7 2005109
8 201490
9 200689
10 200282
11 198578
12 200273
13 200271
14 200370
15 201967
16 200465
17 200353
18 200446
19 198046
20 200239

About Inger Kühn

Inger Kühn is a scholar working on Molecular Biology, Endocrinology, Molecular Medicine, Clinical Biochemistry and Food Science, having authored 52 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Bacterial Identification and Susceptibility Testing (11 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Escherichia coli research studies (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Aquaculture disease management and microbiota (7 papers), Gut microbiota and health (6 papers) and Salmonella and Campylobacter epidemiology (6 papers). The work is most often cited by research in Endocrinology (551 citations), Molecular Medicine (365 citations), Applied Microbiology and Biotechnology (111 citations), Pollution (373 citations) and Clinical Biochemistry (184 citations). Inger Kühn has collaborated with scholars based in Sweden, United Kingdom and Bangladesh. Frequent co-authors include Roland Möllby, Aina Iversen, Mokhlasur Rahman, Anders Franklin, Geert Huys, Patricia Colque‐Navarro, Jean Swings, Motiur Rahman, Ragnvi Hagman and Douglas S. McKenzie. Their work appears in journals such as Applied and Environmental Microbiology, Acta chemica Scandinavica/Acta chemica Scandinavica. B, Organic chemistry and biochemistry/Acta chemica Scandinavica. A, Physical and inorganic chemistry/Acta chemica Scandinavica. Series B. Organic chemistry and biochemistry/Acta chemica Scandinavica. Series A, Physical and inorganic chemistry, Journal of Microbiological Methods, Veterinary Microbiology and Journal of Clinical Microbiology.

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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