Larisa Moerman

509 citations
9 papers · 345 · h-index 7

Impact in

    • Bacterial Infections and Vaccines
  • Health top 10%
    • Vaccine Coverage and Hesitancy

Papers in

    • Virology and Viral Diseases 3
    • Pneumonia and Respiratory Infections 3
    • Influenza Virus Research Studies 1
    • SARS-CoV-2 and COVID-19 Research 3
    • Viral gastroenteritis research and epidemiology 1

Larisa Moerman

9 papers receiving 329 citations

Peers

Larisa Moerman
Comparison fields: 5 of 51
  • Microbiology 77
  • Health 81
  • Infectious Diseases 154
  • Epidemiology 168
  • Agronomy and Crop Science 46
Replace J.K. van Wijngaarden with:
J.K. van Wijngaarden Netherlands
Dorothee Kieninger‐Baum Germany
Goran Tešović Croatia
Ui Yoon Choi South Korea
K Osborne United Kingdom
H C Rümke Netherlands
Ahmad Razmpour United States
Susan G Squires Canada
Takuji Kumagai Japan
Tsung-Pei Tsou Taiwan
Larisa Moerman relative to J.K. van Wijngaarden Netherlands J.K. van Wijngaarden's profile →
Citations per field
00.5×5.3×
J.K. van Wijngaarden · 1×
Citations per year

Countries citing papers authored by Larisa Moerman

Since Specialization
Citations

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

Fields of papers citing papers by Larisa Moerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013124
2 201059
3 200359
4 200941
5 201136
6
The re-emergence of pertussis in Israel.
200618
7 20186
8
Fecal shedding of Arcobacter species in sheep and goat at farm level
20071
9 20131

About Larisa Moerman

Larisa Moerman is a scholar working on Epidemiology, Infectious Diseases, Health, Microbiology and Dermatology, having authored 9 papers that have together received 345 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (4 papers), Virology and Viral Diseases (3 papers), Bacterial Infections and Vaccines (3 papers), Pneumonia and Respiratory Infections (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Viral Infections and Immunology Research (1 paper), Influenza Virus Research Studies (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Microbiology (77 citations), Health (81 citations), Infectious Diseases (154 citations), Epidemiology (168 citations) and Agronomy and Crop Science (46 citations). Larisa Moerman has collaborated with scholars based in Israel, Sweden and United States. Frequent co-authors include Emilia Anis, Itamar Grotto, Paul E. Slater, Baruch Lev, Ehud Kaliner, Michael Gdalevich, Ronni Gamzu, Lester M. Shulman, Ella Mendelson and Y. Manor. Their work appears in journals such as Journal of Public Health Policy, Zoonoses and Public Health, Epidemiology and Infection, Journal of Allergy and Clinical Immunology and Vaccine.

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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