Berit Lange

3.4k total citations
55 papers, 779 citations indexed

About

Berit Lange is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Berit Lange has authored 55 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Infectious Diseases, 25 papers in Epidemiology and 16 papers in Modeling and Simulation. Recurrent topics in Berit Lange's work include COVID-19 epidemiological studies (16 papers), Tuberculosis Research and Epidemiology (12 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Berit Lange is often cited by papers focused on COVID-19 epidemiological studies (16 papers), Tuberculosis Research and Epidemiology (12 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Berit Lange collaborates with scholars based in Germany, Switzerland and France. Berit Lange's co-authors include Dirk Wagner, Stephan Glöckner, Maren Dreier, Winfried V. Kern, Siegbert Rieg, Daniel Hornuß, Patrizio Vanella, Nils Schröter, Gérard Krause and Jennifer Cohn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS Medicine.

In The Last Decade

Berit Lange

47 papers receiving 764 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Berit Lange Germany 15 318 284 179 134 81 55 779
Stéphanie Haïm‐Boukobza France 16 276 0.9× 464 1.6× 80 0.4× 366 2.7× 41 0.5× 25 929
Molly Steele United States 11 130 0.4× 566 2.0× 324 1.8× 25 0.2× 67 0.8× 19 926
Saied Ghorbani Iran 13 178 0.6× 486 1.7× 60 0.3× 35 0.3× 75 0.9× 49 1.0k
Erin E. Conners United States 12 311 1.0× 116 0.4× 22 0.1× 141 1.1× 25 0.3× 29 523
Victoria Indenbaum Israel 18 113 0.4× 1.7k 6.1× 236 1.3× 19 0.1× 183 2.3× 53 1.9k
Unyeong Go South Korea 10 322 1.0× 558 2.0× 216 1.2× 21 0.2× 97 1.2× 24 1.1k
Giorgio Bozzi Italy 15 141 0.4× 340 1.2× 40 0.2× 18 0.1× 30 0.4× 40 613
Nan-Chang Chiu Taiwan 13 259 0.8× 321 1.1× 64 0.4× 6 0.0× 82 1.0× 28 739
Justin Cheung Canada 16 186 0.6× 395 1.4× 192 1.1× 148 1.1× 37 0.5× 36 972
Davide Mangioni Italy 13 100 0.3× 273 1.0× 68 0.4× 6 0.0× 78 1.0× 32 614

Countries citing papers authored by Berit Lange

Since Specialization
Citations

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

Fields of papers citing papers by Berit Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Berit Lange

This figure shows the co-authorship network connecting the top 25 collaborators of Berit Lange. A scholar is included among the top collaborators of Berit Lange 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 Berit Lange. Berit Lange is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jarynowski, Andrzej, Berit Lange, Christopher I Jarvis, et al.. (2025). Changes in social contact patterns in Germany during the SARS-CoV-2 pandemic – an analysis based on the COVIMOD study. BMC Infectious Diseases. 25(1). 588–588.
2.
Roesner, Lennart M., Manoj Kumar Gupta, Verena Kopfnagel, et al.. (2024). The RESIST Senior Individuals Cohort: Design, participant characteristics and aims. GeroScience. 47(3). 3299–3310. 2 indexed citations
3.
Scheithauer, Simone, Sabine Blaschke, Julia Moellmann, et al.. (2024). Architectural interventions to mitigate the spread of SARS-CoV-2 in emergency departments. Journal of Hospital Infection. 151. 1–10.
4.
Heinsohn, Torben, et al.. (2024). Tuberculosis case fatality is higher in male than female patients in Europe: a systematic review and meta-analysis. Infection. 52(5). 1775–1786. 7 indexed citations
5.
Denkinger, Claudia M., Mirjam Kretzschmar, Alexander Kuhlmann, et al.. (2024). A scoping review of guidelines on reporting and assessing dynamic mathematical models of infectious diseases. medRxiv. 1 indexed citations
6.
Vanella, Patrizio, Alexander Kuhlmann, Veronika K. Jaeger, et al.. (2023). Age-specific contribution of contacts to transmission of SARS-CoV-2 in Germany. European Journal of Epidemiology. 38(1). 39–58. 11 indexed citations
7.
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Dorn, Florian, Sahamoddin Khailaie, Sebastian Binder, et al.. (2022). The common interests of health protection and the economy: evidence from scenario calculations of COVID-19 containment policies. The European Journal of Health Economics. 24(1). 67–74. 12 indexed citations
10.
Becker, Matthias, Daniel Junker, André Karch, et al.. (2022). Borrelia multiplex: a bead-based multiplex assay for the simultaneous detection of Borrelia specific IgG/IgM class antibodies. BMC Infectious Diseases. 22(1). 859–859. 5 indexed citations
11.
Stete, Katarina, James Balmford, Winfried V. Kern, et al.. (2021). Reducing burden from respiratory infections in refugees and immigrants: a systematic review of interventions in OECD, EU, EEA and EU-applicant countries. BMC Infectious Diseases. 21(1). 872–872. 4 indexed citations
12.
Silenou, Bernard C, et al.. (2021). Availability and Suitability of Digital Health Tools in Africa for Pandemic Control: Scoping Review and Cluster Analysis. JMIR Public Health and Surveillance. 7(12). e30106–e30106. 17 indexed citations
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Khailaie, Sahamoddin, Tanmay Mitra, Arnab Bandyopadhyay, et al.. (2021). Development of the reproduction number from coronavirus SARS-CoV-2 case data in Germany and implications for political measures. BMC Medicine. 19(1). 32–32. 51 indexed citations
15.
Vanella, Patrizio, Ugofilippo Basellini, & Berit Lange. (2021). Assessing excess mortality in times of pandemics based on principal component analysis of weekly mortality data—the case of COVID-19. Genus. 77(1). 16–16. 20 indexed citations
16.
Janda, Aleš, et al.. (2020). Patient satisfaction & use of health care: a cross-sectional study of asylum seekers in the Freiburg initial reception centre. BMC Health Services Research. 20(1). 709–709. 5 indexed citations
17.
Joost, Insa, Wolfgang Bothe, Christine Pausch, et al.. (2018). Staphylococcus aureus bloodstream infection in patients with ventricular assist devices–Management and outcome in a prospective bicenter cohort. Journal of Infection. 77(1). 30–37. 7 indexed citations
18.
Lange, Berit, Ioana D. Olaru, Palwasha Khan, et al.. (2017). Mycobacterium tuberculosistransmission from patients with drug-resistant compared to drug-susceptible TB: a systematic review and meta-analysis. European Respiratory Journal. 50(4). 1701044–1701044. 14 indexed citations
19.
Lange, Berit, Teri Roberts, Jennifer Cohn, et al.. (2017). Diagnostic accuracy of detection and quantification of HBV-DNA and HCV-RNA using dried blood spot (DBS) samples – a systematic review and meta-analysis. BMC Infectious Diseases. 17(S1). 693–693. 76 indexed citations
20.
Lange, Berit, Martina Vavra, Winfried V. Kern, & Dirk Wagner. (2011). IP-10 measurement using a point of care test for the diagnosis of active tuberculosis. European Respiratory Journal. 38(Suppl 55). 1900–1900. 1 indexed citations

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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