Moa Lavander

911 citations
19 papers · 717 · h-index 12

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 11
    • Bacterial Genetics and Biotechnology 4
    • Bacillus and Francisella bacterial research 9

Moa Lavander

17 papers receiving 702 citations

Peers

Moa Lavander
Comparison fields: 5 of 55
  • Endocrinology 327
  • Genetics 375
  • Molecular Medicine 65
  • Infectious Diseases 124
  • Molecular Biology 354
Replace Wilson J. Ribot with:
Wilson J. Ribot United States
Jagjit S. Ludu Canada
Jeanette E. Bröms Sweden
Natalie Domke Germany
Olivier Gorgé France
Sophie Woestyn Belgium
Rafal Mostowy United Kingdom
A. Lischewski Germany
Chung K. Marston United States
Vanessa K. Grippe United States
Moa Lavander relative to Wilson J. Ribot United States Wilson J. Ribot's profile →
Citations per field
00.5×1.5×
Wilson J. Ribot · 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 2010113
2 2003111
3 200967
4 200264
5 201262
6 200662
7 201257
8 201836
9 202035
10 201134
11 200932
12 201812
13 201411
14 20048
15 20075
16 20165
17 20182
18
VIRULENCE MECHANISMS OF PATHOGENIC YERSINIA
20051
19 20250

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 717 indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (11 papers), Bacillus and Francisella bacterial research (9 papers), Vibrio bacteria research studies (8 papers), Bacterial Genetics and Biotechnology (4 papers), Escherichia coli research studies (3 papers), Plant-based Medicinal Research (3 papers), Salmonella and Campylobacter epidemiology (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Endocrinology (327 citations), Genetics (375 citations), Molecular Medicine (65 citations), Infectious Diseases (124 citations) and Molecular Biology (354 citations). Moa Lavander has collaborated with scholars based in Sweden, Belgium and Germany. Frequent co-authors include Jeanette E. Bröms, Anders Sjöstedt, Åke Försberg, Hans Wolf‐Watz, Lena Meyer, Petra J. Edqvist, Scott A. Lloyd, Åke Forsberg, Jan Olsson and Kun Sun. Their work appears in journals such as Journal of Bacteriology, Advances in experimental medicine and biology, Infection and Immunity, PLoS ONE and Biotechnology Reports.

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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