Mareike Kunze

425 citations
8 papers · 349 · h-index 6

Impact in

    • Legionella and Acanthamoeba research
    • Immune cells in cancer
    • Immune Response and Inflammation
    • interferon and immune responses

Papers in

Mareike Kunze

8 papers receiving 339 citations

Peers

Mareike Kunze
Comparison fields: 5 of 51
  • Endocrinology 38
  • Immunology 128
  • General Dentistry 1
  • Molecular Biology 114
  • Modeling and Simulation 8
Replace Tim Rollenske with:
Tim Rollenske Germany
Marija Landekic Canada
Helena Pillich Germany
Shuichi Nishikubo Japan
S. M. Hossein Khademi Denmark
Asuka Hirai-Yuki Japan
Aaron H. Graff United States
Adam Steven Coleman United States
Benjamin Ziehr United States
Erik Haghjoo United States
Mareike Kunze relative to Tim Rollenske Germany Tim Rollenske's profile →
Citations per field
00.5×1.5×2×2.3×
Tim Rollenske · 1×
Citations per year

Countries citing papers authored by Mareike Kunze

Since Specialization
Citations

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

Fields of papers citing papers by Mareike Kunze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2016222
2 200464
3 202024
4 200518
5 202210
6 20216
7 20194
8
Analysis of Two Choir Outbreaks in Germany in 2020 Characterizes Long- range Transmission Risks Through SARS-CoV-2
20211

About Mareike Kunze

Mareike Kunze is a scholar working on Endocrinology, Modeling and Simulation, Infectious Diseases, Pulmonary and Respiratory Medicine and Immunology, having authored 8 papers that have together received 349 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (3 papers), Infection Control and Ventilation (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), COVID-19 epidemiological studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (1 paper), Influenza Virus Research Studies (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Endocrinology (38 citations), Immunology (128 citations), General Dentistry (1 citation), Molecular Biology (114 citations) and Modeling and Simulation (8 citations). Mareike Kunze has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Ralf Takors, Georg A. Sprenger, Marco Oldiges, Julia Melchert, Victor Max Corman, Claudia Ruscher, Barbara Mühlemann, Nadine Zeitlmann, Klaus Heuner and Jan Walter. Their work appears in journals such as PLoS Pathogens, Vaccine, Emerging infectious diseases, PLoS ONE and International Journal of Medical 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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