Moa Lavander

911 total citations
19 papers, 717 citations indexed

About

Moa Lavander is a scholar working on Genetics, Molecular Biology and Endocrinology. According to data from OpenAlex, Moa Lavander has authored 19 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 9 papers in Molecular Biology and 9 papers in Endocrinology. Recurrent topics in Moa Lavander's work include Yersinia bacterium, plague, ectoparasites research (11 papers), Bacillus and Francisella bacterial research (9 papers) and Vibrio bacteria research studies (8 papers). Moa Lavander is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (11 papers), Bacillus and Francisella bacterial research (9 papers) and Vibrio bacteria research studies (8 papers). Moa Lavander collaborates with scholars based in Sweden, Belgium and Germany. Moa Lavander's co-authors include Jeanette E. Bröms, Anders Sjöstedt, Åke Försberg, Hans Wolf‐Watz, Lena Meyer, Petra J. Edqvist, Scott A. Lloyd, Jan Olsson, Åke Forsberg and Kun Sun and has published in prestigious journals such as PLoS ONE, Journal of Bacteriology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Moa Lavander

17 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moa Lavander Sweden 12 375 354 327 125 124 19 717
Jagjit S. Ludu Canada 7 419 1.1× 632 1.8× 251 0.8× 235 1.9× 142 1.1× 7 805
Natalie Domke Germany 8 197 0.5× 261 0.7× 230 0.7× 130 1.0× 48 0.4× 8 645
Jeanette E. Bröms Sweden 21 548 1.5× 545 1.5× 558 1.7× 151 1.2× 165 1.3× 29 1.0k
Wilson J. Ribot United States 16 382 1.0× 627 1.8× 279 0.9× 177 1.4× 169 1.4× 27 1.2k
Maxime Québatte Switzerland 14 118 0.3× 216 0.6× 96 0.3× 112 0.9× 126 1.0× 18 605
Kalliopi Georgiades France 12 108 0.3× 230 0.6× 97 0.3× 135 1.1× 89 0.7× 14 504
Olivier Gorgé France 12 237 0.6× 311 0.9× 89 0.3× 149 1.2× 58 0.5× 26 568
Rafal Mostowy United Kingdom 14 194 0.5× 280 0.8× 117 0.4× 160 1.3× 116 0.9× 19 714
Andrey A. Filippov United States 14 183 0.5× 273 0.8× 96 0.3× 556 4.4× 94 0.8× 30 697
Marı́a A. Rendón United States 9 96 0.3× 206 0.6× 236 0.7× 72 0.6× 109 0.9× 13 624

Countries citing papers authored by Moa Lavander

Since Specialization
Citations

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

Fields of papers citing papers by Moa Lavander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moa Lavander

This figure shows the co-authorship network connecting the top 25 collaborators of Moa Lavander. A scholar is included among the top collaborators of Moa Lavander 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 Moa Lavander. Moa Lavander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Eriksson, Ronnie, et al.. (2025). Validation of an Optimised Method for Quantitative Detection of Hepatitis E Virus in Pork Sausage. Food and Environmental Virology. 17(2). 33–33.
2.
Jansson, Linda, et al.. (2020). Impact of swab material on microbial surface sampling. Journal of Microbiological Methods. 176. 106006–106006. 35 indexed citations
3.
Jansson, Linda, Ronnie Eriksson, Johannes Hedman, & Moa Lavander. (2018). Evaluation and modification of lanthanum-based flocculation for isolation of bacteria from water samples. Biotechnology Reports. 19. e00267–e00267. 2 indexed citations
4.
Kaden, René, et al.. (2018). Brucella abortus: determination of survival times and evaluation of methods for detection in several matrices. BMC Infectious Diseases. 18(1). 259–259. 36 indexed citations
5.
Hedman, Johannes, et al.. (2018). Validation guidelines for PCR workflows in bioterrorism preparedness, food safety and forensics. Accreditation and Quality Assurance. 23(3). 133–144. 12 indexed citations
6.
Beckstette, Michael, et al.. (2016). Transcriptomic and Phenotypic Analysis Reveals New Functions for the Tat Pathway in Yersinia pseudotuberculosis. Journal of Bacteriology. 198(20). 2876–2886. 5 indexed citations
7.
Sun, Kun, Jeanette E. Bröms, Moa Lavander, et al.. (2014). Screening for Inhibition of Vibrio cholerae VipA-VipB Interaction Identifies Small-Molecule Compounds Active against Type VI Secretion. Antimicrobial Agents and Chemotherapy. 58(7). 4123–4130. 11 indexed citations
8.
Bröms, Jeanette E., Lena Meyer, Kun Sun, Moa Lavander, & Anders Sjöstedt. (2012). Unique Substrates Secreted by the Type VI Secretion System of Francisella tularensis during Intramacrophage Infection. PLoS ONE. 7(11). e50473–e50473. 57 indexed citations
9.
Bröms, Jeanette E., Lena Meyer, Moa Lavander, Pär Larsson, & Anders Sjöstedt. (2012). DotU and VgrG, Core Components of Type VI Secretion Systems, Are Essential for Francisella LVS Pathogenicity. PLoS ONE. 7(4). e34639–e34639. 62 indexed citations
10.
Bröms, Jeanette E., Moa Lavander, Lena Meyer, & Anders Sjöstedt. (2011). IglG and IglI of the Francisella Pathogenicity Island Are Important Virulence Determinants of Francisella tularensis LVS. Infection and Immunity. 79(9). 3683–3696. 34 indexed citations
11.
Bröms, Jeanette E., Anders Sjöstedt, & Moa Lavander. (2010). The Role of the Francisella Tularensis Pathogenicity Island in Type VI Secretion, Intracellular Survival, and Modulation of Host Cell Signaling. Frontiers in Microbiology. 1. 136–136. 113 indexed citations
12.
Bröms, Jeanette E., Moa Lavander, & Anders Sjöstedt. (2009). A Conserved α-Helix Essential for a Type VI Secretion-Like System of Francisella tularensis. Journal of Bacteriology. 191(8). 2431–2446. 67 indexed citations
13.
Lavander, Moa, et al.. (2009). Autoproteolysis of YscU of Yersinia pseudotuberculosis Is Important for Regulation of Expression and Secretion of Yop Proteins. Journal of Bacteriology. 191(13). 4259–4267. 32 indexed citations
14.
Lavander, Moa, et al.. (2007). Twin Arginine Translocation in Yersinia. Advances in experimental medicine and biology. 258–267. 5 indexed citations
15.
Lavander, Moa, et al.. (2006). The Twin Arginine Translocation System Is Essential for Virulence ofYersinia pseudotuberculosis. Infection and Immunity. 74(3). 1768–1776. 62 indexed citations
16.
Lavander, Moa, et al.. (2005). VIRULENCE MECHANISMS OF PATHOGENIC YERSINIA. 1 indexed citations
17.
Lavander, Moa, et al.. (2004). Characterisation of the Type III Secretion Protein YscU in Yersinia pseudotuberculosis. Advances in experimental medicine and biology. 529. 109–112. 8 indexed citations
18.
Edqvist, Petra J., Jan Olsson, Moa Lavander, et al.. (2003). YscP and YscU Regulate Substrate Specificity of theYersiniaType III Secretion System. Journal of Bacteriology. 185(7). 2259–2266. 111 indexed citations
19.
Lavander, Moa, et al.. (2002). Proteolytic Cleavage of the FlhB Homologue YscU of Yersinia pseudotuberculosis Is Essential for Bacterial Survival but Not for Type III Secretion. Journal of Bacteriology. 184(16). 4500–4509. 64 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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