Per Oeding

1.9k citations
80 papers · 1.5k · h-index 23

Impact in

Papers in

Per Oeding

75 papers receiving 1.2k citations

Peers

Per Oeding
Comparison fields: 5 of 89
  • Microbiology 275
  • Infectious Diseases 727
  • Clinical Biochemistry 211
  • Biotechnology 226
  • Endocrinology 95
Replace Peter J. McNamara with:
Peter J. McNamara United States
Kazuhisa Murakami Japan
P. Patrick Cleary United States
Silvia Herbert Germany
Mary C. Booth United States
Nadine McCallum Switzerland
Elisabeth Couvé France
Philippe Gilot France
Chia Y. Lee United States
Keun Seok Seo United States
Per Oeding relative to Peter J. McNamara United States Peter J. McNamara's profile →
Citations per field
00.5×1.5×2.2×
Peter J. McNamara · 1×
Citations per year

Countries citing papers authored by Per Oeding

Since Specialization
Citations

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

Fields of papers citing papers by Per Oeding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978167
2 1957108
3 196481
4 195376
5 196175
6 197558
7 196057
8 195748
9 196447
10 198940
11 196438
12 197635
13 196135
14 196035
15 196332
16 197729
17 197028
18 195327
19 196326
20 195824

About Per Oeding

Per Oeding is a scholar working on Infectious Diseases, Molecular Biology, Microbiology, Epidemiology and Ecology, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (28 papers), Microbial infections and disease research (14 papers), Bacteriophages and microbial interactions (11 papers), Mycobacterium research and diagnosis (10 papers), Bacterial Identification and Susceptibility Testing (9 papers), Biochemical and Structural Characterization (8 papers), Plant Pathogenic Bacteria Studies (7 papers) and Enterobacteriaceae and Cronobacter Research (7 papers). The work is most often cited by research in Microbiology (275 citations), Infectious Diseases (727 citations), Clinical Biochemistry (211 citations), Biotechnology (226 citations) and Endocrinology (95 citations). Per Oeding has collaborated with scholars based in Norway, Czechia and Belgium. Frequent co-authors include Gunnar Haukenes, Arne Grov, Luc Devriese, Václav Hájek, Karl Heinz Schleifer, L. Devriese, J. Baddiley, D Sompolinsky, D. C. Ellwood and A. L. DAVISON. Their work appears in journals such as Apmis, Annals of the New York Academy of Sciences, The Journal of Infectious Diseases, Journal of Bacteriology 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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