Sven Laarmann

702 total citations
8 papers, 552 citations indexed

About

Sven Laarmann is a scholar working on Molecular Biology, Microbiology and Endocrinology. According to data from OpenAlex, Sven Laarmann has authored 8 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Microbiology and 3 papers in Endocrinology. Recurrent topics in Sven Laarmann's work include Escherichia coli research studies (3 papers), Bacterial Infections and Vaccines (3 papers) and RNA and protein synthesis mechanisms (3 papers). Sven Laarmann is often cited by papers focused on Escherichia coli research studies (3 papers), Bacterial Infections and Vaccines (3 papers) and RNA and protein synthesis mechanisms (3 papers). Sven Laarmann collaborates with scholars based in Germany, United States and Netherlands. Sven Laarmann's co-authors include M. Alexander Schmidt, Lilo Greune, Hermann Schillers, Hans Oberleithner, Twyla Juehne, Joseph W. St. Geme, Volker Gerke, Ursula Rescher, David Cutter and Shane E. Cotter and has published in prestigious journals such as The EMBO Journal, Journal of Cell Science and Journal of Controlled Release.

In The Last Decade

Sven Laarmann

8 papers receiving 542 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sven Laarmann Germany	8	285	233	189	142	82	8	552
Simi Kobi Israel	8	322 1.1×	182 0.8×	176 0.9×	161 1.1×	75 0.9×	9	508
Philippe J. Sansonetti France	9	297 1.0×	183 0.8×	148 0.8×	152 1.1×	42 0.5×	9	571
Ximena Cortes-Bratti Sweden	8	134 0.5×	267 1.1×	217 1.1×	117 0.8×	216 2.6×	8	675
Thomas Klauser Germany	8	188 0.7×	319 1.4×	258 1.4×	61 0.4×	191 2.3×	9	636
S H Huang United States	6	250 0.9×	237 1.0×	140 0.7×	94 0.7×	34 0.4×	8	637
P. Vögeli Switzerland	15	236 0.8×	291 1.2×	262 1.4×	101 0.7×	17 0.2×	40	763
Yanina R. Sevastsyanovich United Kingdom	13	129 0.5×	300 1.3×	215 1.1×	59 0.4×	136 1.7×	20	510
Sebastian F. Zenk Germany	10	293 1.0×	105 0.5×	214 1.1×	179 1.3×	114 1.4×	11	545
Maria Guillermina Casabona France	8	164 0.6×	261 1.1×	122 0.6×	93 0.7×	74 0.9×	8	480
Michelle Rathman United States	5	291 1.0×	119 0.5×	109 0.6×	101 0.7×	69 0.8×	5	520

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-authorship network of co-authors of Sven Laarmann

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Laarmann. A scholar is included among the top collaborators of Sven Laarmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sven Laarmann. Sven Laarmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Laarmann, Sven, et al.. (2011). Expression, secretion and surface display of a human alkaline phosphatase by the ciliate Tetrahymena thermophila. BMC Biotechnology. 11(1). 11–11. 23 indexed citations

Gun, Bernardina T.F. van der, Sven Laarmann, Tamás Raskó, et al.. (2007). Serum insensitive, intranuclear protein delivery by the multipurpose cationic lipid Saint-2. Journal of Controlled Release. 123(3). 228–238. 33 indexed citations

Yeo, Hye‐Jeong, Shane E. Cotter, Sven Laarmann, et al.. (2004). Structural basis for host recognition by the Haemophilus influenzae Hia autotransporter. The EMBO Journal. 23(6). 1245–1256. 79 indexed citations

Laarmann, Sven & M. Alexander Schmidt. (2003). The Escherichia coli AIDA autotransporter adhesin recognizes an integral membrane glycoprotein as receptor. Microbiology. 149(7). 1871–1882. 40 indexed citations

Laarmann, Sven, David Cutter, Twyla Juehne, Stephen J. Barenkamp, & Joseph W. St. Geme. (2002). TheHaemophilus influenzaeHia autotransporter harbours two adhesive pockets that reside in the passenger domain and recognize the same host cell receptor. Molecular Microbiology. 46(3). 731–743. 63 indexed citations

Rescher, Ursula, et al.. (2002). Cell-surface attachment of pedestal-forming enteropathogenicE. coliinduces a clustering of raft components and a recruitment of annexin 2. Journal of Cell Science. 115(1). 91–98. 90 indexed citations

Laarmann, Sven, et al.. (2001). Characterization of translocation pores inserted into plasma membranes by type III-secreted Esp proteins of enteropathogenic Escherichia coli. Cellular Microbiology. 3(10). 669–679. 182 indexed citations

Beinke, Christina, Sven Laarmann, Clemens Wachter, et al.. (1998). Diffusely Adhering Escherichia coli Strains Induce Attaching and Effacing Phenotypes and Secrete Homologs of Esp Proteins. Infection and Immunity. 66(2). 528–539. 42 indexed citations

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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