Miriam Stegemann
- Infectious Diseases top 2%
- Epidemiology top 10%
- Neurology top 5%
- Molecular Biology
- Immunology
- Co-authors
- Maria-Intí MetzendorfAgata MikołajewskaNicole SkoetzFalk FichtnerVanessa PiechottaPatrick MeybohmCarina BenstoemStephanie Weibel
- Topics
- COVID-19 Clinical Research Studies (19 papers)SARS-CoV-2 and COVID-19 Research (10 papers)Antimicrobial Resistance in Staphylococcus (8 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Miriam Stegemann
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 126
- Infectious Diseases 691
- Epidemiology 279
- Neurology 245
- Molecular Biology 204
- Immunology 199
Countries citing papers authored by Miriam Stegemann
This map shows the geographic impact of Miriam Stegemann'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 Miriam Stegemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Stegemann more than expected).
Fields of papers citing papers by Miriam Stegemann
This network shows the impact of papers produced by Miriam Stegemann. 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 Miriam Stegemann. The network helps show where Miriam Stegemann may publish in the future.
Co-authorship network of co-authors of Miriam Stegemann
This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Stegemann. A scholar is included among the top collaborators of Miriam Stegemann 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 Miriam Stegemann. Miriam Stegemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 18 | |
| 8 | 3 | |
| 9 | 84 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 42 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 18 | |
| 19 | 2 | |
| 20 | The Society regret publication of article named "toll-like receptor (TLR) polymorphism in african children: Common TLR-4 variants predispose to sever malaria"(J Commun Dis (2006) 38(3): 230-245) | 2 |
About Miriam Stegemann
Miriam Stegemann is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Clinical Biochemistry, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (19 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Antimicrobial Resistance in Staphylococcus (8 papers). The work is most often cited by research in Infectious Diseases (691 citations), Applied Microbiology and Biotechnology (58 citations) and Neurology (245 citations). Miriam Stegemann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Maria-Intí Metzendorf, Agata Mikołajewska, Nicole Skoetz, Falk Fichtner, Vanessa Piechotta, Patrick Meybohm, Carina Benstoem, Stephanie Weibel, Elisabeth Dietz and Ulrich Bienzle. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Clinical 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.