Janina Krambrich

964 citations
12 papers · 454 indexed · h-index 7
Topics
Viral Infections and Vectors (5 papers)Mosquito-borne diseases and control (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
Partner nations
SwedenVietnamAustralia

In The Last Decade

Janina Krambrich

11 papers receiving 439 citations

Peers

Janina Krambrich
Comparison fields: 5 of 102
  • Infectious Diseases 233
  • Pulmonary and Respiratory Medicine 164
  • Modeling and Simulation 65
  • Oncology 56
  • Biomedical Engineering 52
Replace Dario Akaberi with:
Dario Akaberi Sweden
Jordan Hindson Denmark
M. Jane Morwitzer United States
Tom Wai‐Hin Chung Hong Kong
Karolina Nissen Sweden
Tengyue Hu China
Yuri Furusawa Japan
Zhikun Zeng China
Nagham Kaka Canada
Hou Hon Cheong Macao
Janina Krambrich relative to Dario Akaberi Sweden Dario Akaberi's profile →
Citations per field
00.5×1.5×
Dario Akaberi · 1×
Citations per year

Countries citing papers authored by Janina Krambrich

Since Specialization
Citations

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

Fields of papers citing papers by Janina Krambrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janina Krambrich

This figure shows the co-authorship network connecting the top 25 collaborators of Janina Krambrich. A scholar is included among the top collaborators of Janina Krambrich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janina Krambrich. Janina Krambrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 4
3 6
4 9
5 0
6 3
7 6
8 11
9 3
10 140
11 136
12 133

About Janina Krambrich

Janina Krambrich is a scholar working on Infectious Diseases, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 454 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Mosquito-borne diseases and control (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Modeling and Simulation (65 citations), Infectious Diseases (233 citations) and Pulmonary and Respiratory Medicine (164 citations). Janina Krambrich has collaborated with scholars based in Sweden, Vietnam and Australia. Frequent co-authors include Åke Lundkvist, Dario Akaberi, Tove Hoffman, Jiaxin Ling, Erik Salaneck, Karolina Nissen, Lennart Svensson, Johan Lennerstrand, Göran Hedenstierna and Josef D. Järhult. Their work appears in journals such as Scientific Reports, Antimicrobial Agents and Chemotherapy and Redox Biology.

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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