Sven Laarmann

703 citations
8 papers · 554 · h-index 8

Impact in

    • Escherichia coli research studies
    • Vibrio bacteria research studies
    • Bacterial Infections and Vaccines

Papers in

    • RNA and protein synthesis mechanisms 3
    • S100 Proteins and Annexins 1
    • RNA Interference and Gene Delivery 1
    • Lipid Membrane Structure and Behavior 1
    • Bacterial Infections and Vaccines 3
    • Antimicrobial Peptides and Activities 1

Sven Laarmann

8 papers receiving 544 citations

Peers

Sven Laarmann
Comparison fields: 5 of 62
  • Endocrinology 281
  • Microbiology 75
  • Molecular Medicine 39
  • Infectious Diseases 131
  • Genetics 182
Replace Simi Kobi with:
Simi Kobi Israel
S H Huang United States
Sheng-He Huang United States
Philippe J. Sansonetti France
P. Vögeli Switzerland
Ximena Cortes-Bratti Sweden
Thomas Klauser Germany
Sebastian F. Zenk Germany
Shivangi Agarwal United States
Tyler G. Kimbrough United States
Sven Laarmann relative to Simi Kobi Israel Simi Kobi's profile →
Citations per field
00.5×3.3×
Simi Kobi · 1×
Citations per year

Countries citing papers authored by Sven Laarmann

Since Specialization
Citations

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

Fields of papers citing papers by Sven Laarmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2001183
2 200290
3 200479
4 200263
5 199843
6 200340
7 200733
8 201123

About Sven Laarmann

Sven Laarmann is a scholar working on Molecular Biology, Microbiology, Endocrinology, Infectious Diseases and Molecular Medicine, having authored 8 papers that have together received 554 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (3 papers), Escherichia coli research studies (3 papers), RNA and protein synthesis mechanisms (3 papers), Viral gastroenteritis research and epidemiology (2 papers), S100 Proteins and Annexins (1 paper), Antimicrobial Peptides and Activities (1 paper), RNA Interference and Gene Delivery (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Endocrinology (281 citations), Microbiology (75 citations), Molecular Medicine (39 citations), Infectious Diseases (131 citations) and Genetics (182 citations). Sven Laarmann has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include M. Alexander Schmidt, Lilo Greune, Hans Oberleithner, Hermann Schillers, Twyla Juehne, Joseph W. St. Geme, Ursula Rescher, Volker Gerke, Stephen J. Barenkamp and Hye‐Jeong Yeo. Their work appears in journals such as BMC Biotechnology, Journal of Cell Science, Molecular Microbiology, Cellular Microbiology and The EMBO Journal.

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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