Daniel Straume

1.4k citations
41 papers · 1.1k · h-index 19

Impact in

  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • Antimicrobial Peptides and Activities

Papers in

    • Bacterial Genetics and Biotechnology 34
    • Antimicrobial Peptides and Activities 4

Daniel Straume

38 papers receiving 1.1k citations

Peers

Daniel Straume
Comparison fields: 5 of 54
  • Genetics 612
  • Microbiology 79
  • Food Science 230
  • Molecular Medicine 53
  • Infectious Diseases 78
Replace Nathalie Campo with:
Nathalie Campo France
Bernhard Henrich Germany
Tomas G. Kloosterman Netherlands
Lucy K. Shewell Australia
Judy K. Morona Australia
Brett D. Shepard United States
Sébastien Guiral France
Stefan Fälker Germany
Ramkumar Iyer United States
Iris Fedtke Germany
Daniel Straume relative to Nathalie Campo France Nathalie Campo's profile →
Citations per field
00.5×2×3×3.7×
Nathalie Campo · 1×
Citations per year

Countries citing papers authored by Daniel Straume

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Straume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009150
2 201486
3 201071
4 201471
5 201368
6 201953
7 201752
8 202052
9 201746
10 202145
11 201635
12 201835
13 201834
14 201931
15 201127
16 201624
17 200520
18 200920
19 202320
20 200717

About Daniel Straume

Daniel Straume is a scholar working on Genetics, Microbiology, Food Science, Molecular Biology and Epidemiology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (34 papers), Biochemical and Structural Characterization (7 papers), Pneumonia and Respiratory Infections (5 papers), Probiotics and Fermented Foods (5 papers), Antimicrobial Peptides and Activities (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Streptococcal Infections and Treatments (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Genetics (612 citations), Microbiology (79 citations), Food Science (230 citations), Molecular Medicine (53 citations) and Infectious Diseases (78 citations). Daniel Straume has collaborated with scholars based in Norway, Spain and France. Frequent co-authors include Leiv Sigve Håvarstein, Gro Anita Stamsås, Morten Kjos, Kari Helene Berg, Ingolf Figved Nes, Dzung Bao Diep, J.A. Hermoso, Zhian Salehian, Cármen Torres and Vegard Eldholm. Their work appears in journals such as Molecular Microbiology, Journal of Bacteriology, mBio, Microbiology and Nature Communications.

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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