Moa Lavander

924 citations
19 papers · 740 · h-index 13

Impact in

    • Vibrio bacteria research studies
    • Escherichia coli research studies
  • Genetics top 5%
    • Yersinia bacterium, plague, ectoparasites research
    • Bacterial Genetics and Biotechnology

Papers in

    • Yersinia bacterium, plague, ectoparasites research 10
    • Bacterial Genetics and Biotechnology 3
    • Bacillus and Francisella bacterial research 8

Moa Lavander

18 papers receiving 725 citations

Peers

Moa Lavander
Comparison fields: 5 of 52
  • Endocrinology 317
  • Genetics 372
  • Molecular Medicine 65
  • Infectious Diseases 116
  • Molecular Biology 362
Replace Jagjit S. Ludu with:
Jagjit S. Ludu Canada
Elisabeth Bottreau France
Natalie Domke Germany
Jeanette E. Bröms Sweden
Chung K. Marston United States
Rafal Mostowy United Kingdom
Jane Wong United States
Sophie Woestyn Belgium
A. Lischewski Germany
Vanessa K. Grippe United States
Moa Lavander relative to Jagjit S. Ludu Canada Jagjit S. Ludu's profile →
Citations per field
00.5×5.8×
Jagjit S. Ludu · 1×
Citations per year

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-authors

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

All Works

19 of 19 papers shown
#Work
1 2010116
2 2003113
3 200968
4 200266
5 200664
6 201264
7 201258
8 201838
9 202037
10 200935
11 201134
12 201813
13 201412
14 20048
15 20075
16 20165
17 20182
18 20251
19
VIRULENCE MECHANISMS OF PATHOGENIC YERSINIA
20051

About Moa Lavander

Moa Lavander is a scholar working on Genetics, Molecular Biology, Endocrinology, Infectious Diseases and Pharmacology, having authored 19 papers that have together received 740 indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (10 papers), Vibrio bacteria research studies (8 papers), Bacillus and Francisella bacterial research (8 papers), Bacterial Genetics and Biotechnology (3 papers), Plant-based Medicinal Research (3 papers), Viral Infections and Outbreaks Research (2 papers), Escherichia coli research studies (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Endocrinology (317 citations), Genetics (372 citations), Molecular Medicine (65 citations), Infectious Diseases (116 citations) and Molecular Biology (362 citations). Moa Lavander has collaborated with scholars based in Sweden, Germany and Belgium. Frequent co-authors include Jeanette E. Bröms, Anders Sjöstedt, Åke Försberg, Hans Wolf‐Watz, Lena Meyer, Scott A. Lloyd, Petra J. Edqvist, Jan Olsson, Åke Forsberg and Pär Larsson. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Advances in experimental medicine and biology, PLoS ONE and Journal of Microbiological Methods.

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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