Britta Lassmann

25 papers receiving 682 citations

Peers

Britta Lassmann
Comparison fields: 5 of 108
  • Clinical Biochemistry 145
  • Modeling and Simulation 72
  • Biotechnology 107
  • Applied Microbiology and Biotechnology 20
  • Infectious Diseases 149
Replace Idris Nasir Abdullahi with:
Idris Nasir Abdullahi Nigeria
James Price United Kingdom
Erin Epson United States
Younghee Jung South Korea
Elita Jauneikaite United Kingdom
Justus Benzler Germany
Mohammed Dauda Goni Malaysia
Louise Francois Watkins United States
Lara Tavoschi Italy
Lok Bahadur Shrestha Nepal
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Citations per field
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Citations per year

Countries citing papers authored by Britta Lassmann

Since Specialization
Citations

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

Fields of papers citing papers by Britta Lassmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007192
2 2019142
3 201991
4 202138
5 201736
6 202030
7 202125
8 200723
9 200518
10 202217
11 201715
12 200814
13 202314
14 202014
15 201913
16 20078
17 20077
18 20186
19 20213
20 20133

About Britta Lassmann

Britta Lassmann is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Parasitology and Small Animals, having authored 27 papers that have together received 718 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (7 papers), COVID-19 epidemiological studies (5 papers), Viral Infections and Outbreaks Research (5 papers), Parasites and Host Interactions (3 papers), COVID-19 Digital Contact Tracing (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Listeria monocytogenes in Food Safety (2 papers) and Mollusks and Parasites Studies (2 papers). The work is most often cited by research in Clinical Biochemistry (145 citations), Modeling and Simulation (72 citations), Biotechnology (107 citations), Applied Microbiology and Biotechnology (20 citations) and Infectious Diseases (149 citations). Britta Lassmann has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Angel N. Desai, Lawrence C. Madoff, Deborah Gustafson, Chris M. Wood, Jon E. Rosenblatt, Anne Cori, Pierre Nouvellet, Sangeeta Bhatia, John S. Brownstein and Emily Cohn. Their work appears in journals such as International Journal of Infectious Diseases, Clinical Infectious Diseases, Mayo Clinic Proceedings, Health Security and The Lancet Infectious Diseases.

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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