Sabine Dittrich
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- Antibiotic Use and Resistance 21
- Infectious Diseases top 0.5%
- Viral Infections and Vectors 24
- SARS-CoV-2 detection and testing 12
- SARS-CoV-2 and COVID-19 Research 10
- Parasitology top 0.5%
- Vector-borne infectious diseases 17
- Modeling and Simulation top 1%
- Molecular Medicine top 2%
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- Mosquito-borne diseases and control 34
- Malaria Research and Control 22
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- Bacterial Identification and Susceptibility Testing 12
- Co-authors
- Mariska LeeflangDevy EmperadorClare DavenportLotty HooftRené SpijkerAnn Van den BruelJonathan J DeeksThomas Weitzel
- Journals
- New England Journal of Medicine (1 paper)SHILAP Revista de lepidopterología (6 papers)Annals of Internal Medicine (2 papers)
- Partner nations
- United KingdomSwitzerlandLaos
In The Last Decade
Sabine Dittrich
115 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Applied Microbiology and Biotechnology 346
- Infectious Diseases 2.7k
- Parasitology 689
- Modeling and Simulation 252
- Molecular Medicine 192
Countries citing papers authored by Sabine Dittrich
This map shows the geographic impact of Sabine Dittrich'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 Sabine Dittrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Dittrich more than expected).
Fields of papers citing papers by Sabine Dittrich
This network shows the impact of papers produced by Sabine Dittrich. 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 Sabine Dittrich. The network helps show where Sabine Dittrich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sabine Dittrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 91 | |
| 16 | 2020 | 8 | |
| 17 | 2020 | 5 | |
| 18 | 2019 | 20 | |
| 19 | Target Product Profile for a Diagnostic Assay to Differentiate Between Bacterial and Non-Bacterial Infections to Guide Antimicrobials Use in Resource-Limited Settings: An Expert Consensus | 2017 | 1 |
| 20 | HOW TO OPTIMALLY DIAGNOSE ORIENTIA TSUTSUGAMUSHI OR RICKETTSIA TYPHI INFECTIONS IN PATIENTS WITH CENTRAL NERVOUS SYSTEM DISEASE | 2015 | 1 |
About Sabine Dittrich
Sabine Dittrich is a scholar working on Applied Microbiology and Biotechnology, Parasitology and Infectious Diseases, having authored 118 papers that have together received 4.6k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (34 papers), Viral Infections and Vectors (24 papers), Malaria Research and Control (22 papers), Antibiotic Use and Resistance (21 papers), Vector-borne infectious diseases (17 papers), SARS-CoV-2 detection and testing (12 papers), Bacterial Identification and Susceptibility Testing (12 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (346 citations), Infectious Diseases (2.7k citations) and Parasitology (689 citations). Sabine Dittrich has collaborated with scholars based in United Kingdom, Switzerland and Laos. Frequent co-authors include Mariska Leeflang, Devy Emperador, Clare Davenport, Lotty Hooft, René Spijker, Ann Van den Bruel, Jonathan J Deeks, Thomas Weitzel, Yemisi Takwoingi and Jacqueline Dinnes. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.