Moa Lavander

953 citations
19 papers · 742 · h-index 12

Impact in

    • Escherichia coli research studies
    • Vibrio bacteria research studies
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology
    • Yersinia bacterium, plague, ectoparasites research

Papers in

    • Yersinia bacterium, plague, ectoparasites research 6
    • Bacterial Genetics and Biotechnology 4
    • Bacillus and Francisella bacterial research 5

Moa Lavander

18 papers receiving 735 citations

Peers

Moa Lavander
Comparison fields: 5 of 46
  • Endocrinology 195
  • Genetics 261
  • Molecular Biology 291
  • Small Animals 36
  • Structural Biology 6
Replace Eric D. Cambronne with:
Eric D. Cambronne United States
Jagjit S. Ludu Canada
Iwan Grin Germany
Olle M. de Bruin Canada
David Bieber United States
Clasien J. Oomen Netherlands
Simon J. Jakubowski United States
Paul Andrew Rowley United States
Ann Kathrin Heroven Germany
Zahra Abdellah United Kingdom
Moa Lavander relative to Eric D. Cambronne United States Eric D. Cambronne's profile →
Citations per field
00.5×2×2.8×
Eric D. Cambronne · 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 2010117
2 2003110
3 200968
4 200265
5 200664
6 201263
7 201258
8 202042
9 201840
10 200935
11 201134
12 201412
13 201812
14 20048
15 20075
16 20165
17 20182
18 20252
19 20240

About Moa Lavander

Moa Lavander is a scholar working on Genetics, Molecular Biology, Endocrinology, Biotechnology and Small Animals, having authored 19 papers that have together received 742 indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (6 papers), Bacillus and Francisella bacterial research (5 papers), Bacterial Genetics and Biotechnology (4 papers), Listeria monocytogenes in Food Safety (1 paper), Brucella: diagnosis, epidemiology, treatment (1 paper), Coagulation and Flocculation Studies (1 paper), Salmonella and Campylobacter epidemiology (1 paper) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Endocrinology (195 citations), Genetics (261 citations), Molecular Biology (291 citations), Small Animals (36 citations) and Structural Biology (6 citations). Moa Lavander has collaborated with scholars based in Sweden, Germany and Ireland. Frequent co-authors include Jeanette E. Bröms, Anders B. Sjöstedt, Åke Försberg, Hans Wolf‐Watz, Lena Ricemeyer, Scott A. Lloyd, Petra J. Edqvist, Jan Olsson, Pär Larsson and Johannes Hedman. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, PLoS ONE, Advances in experimental medicine and biology and Frontiers in Microbiology.

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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