Eeva Kuisma

3.8k citations
7 papers · 66 · h-index 6

Impact in

    • Bacterial Infections and Vaccines
    • Viral Infections and Outbreaks Research
    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research

Papers in

Eeva Kuisma

7 papers receiving 61 citations

Peers

Eeva Kuisma
Comparison fields: 5 of 26
  • Microbiology 19
  • Infectious Diseases 30
  • Modeling and Simulation 4
  • Public Health, Environmental and Occupational Health 19
  • Virology 3
Replace Ramesh Kumar with:
Ramesh Kumar India
Chelsea Foo United States
M. Lefèbvre France
Miladys Limonta‐Fernández Cuba
Susanne Kessler Germany
Donald M. Brandon United States
Hayley Cassidy Netherlands
Nazia Kamal United States
Sophana Chea United States
Joan Miquel Balada-Llasat United States
Eeva Kuisma relative to Ramesh Kumar India Ramesh Kumar's profile →
Citations per field
00.5×3.2×
Ramesh Kumar · 1×
Citations per year

Countries citing papers authored by Eeva Kuisma

Since Specialization
Citations

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

Fields of papers citing papers by Eeva Kuisma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Eeva Kuisma, 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 Eeva Kuisma Line = papers co-authored together Eeva Kuisma links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201919
2 201318
3 20228
4 20158
5 20197
6 20215
7 20191

About Eeva Kuisma

Eeva Kuisma is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Microbiology and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 66 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (4 papers), Zoonotic diseases and public health (2 papers), Bacterial Infections and Vaccines (2 papers), Pneumonia and Respiratory Infections (2 papers), Bat Biology and Ecology Studies (1 paper), COVID-19 epidemiological studies (1 paper), Viral Infections and Vectors (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Microbiology (19 citations), Infectious Diseases (30 citations), Modeling and Simulation (4 citations), Public Health, Environmental and Occupational Health (19 citations) and Virology (3 citations). Eeva Kuisma has collaborated with scholars based in Republic of the Congo, United States and Germany. Frequent co-authors include Stephen Taylor, Lauren Allen, Andrew Gorringe, Sanjay Ram, Robert J. Fischer, Beatriz Escudero-Pérez, César Muñoz‐Fontela, Jean-Vivien Mombouli, Sarah H. Olson and Stephanie N. Seifert. Their work appears in journals such as PLoS ONE, Clinical and Vaccine Immunology, International Journal of Infectious Diseases, Philosophical Transactions of the Royal Society B Biological Sciences and Journal of Immunological 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.

Explore authors with similar magnitude of impact