R. Siegert
- Infectious Diseases top 5%
- Epidemiology top 10%
- Molecular Biology
- Immunology
- Emergency Medical Services top 5%
- Topics
- Viral Infections and Outbreaks Research (12 papers)Influenza Virus Research Studies (8 papers)Respiratory viral infections research (7 papers)
- Partner nations
- Germany
In The Last Decade
R. Siegert
57 papers receiving 900 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 435
- Epidemiology 371
- Molecular Biology 231
- Immunology 175
- Emergency Medical Services 99
Countries citing papers authored by R. Siegert
This map shows the geographic impact of R. Siegert'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 R. Siegert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Siegert more than expected).
Fields of papers citing papers by R. Siegert
This network shows the impact of papers produced by R. Siegert. 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 R. Siegert. The network helps show where R. Siegert may publish in the future.
Co-authorship network of co-authors of R. Siegert
This figure shows the co-authorship network connecting the top 25 collaborators of R. Siegert. A scholar is included among the top collaborators of R. Siegert 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 R. Siegert. R. Siegert 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 | 24 | |
| 3 | 11 | |
| 4 | 5 | |
| 5 | [Common mechanism of infection fever]. | 1 |
| 6 | 35 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | The Marburg virus (vervet monkey agent). | 5 |
| 11 | 12 | |
| 12 | The aetiology of an unknown human infection transmitted by monkeys (preliminary communication). | 29 |
| 13 | 140 | |
| 14 | 3 | |
| 15 | [On the antigen structure of Candida albicans and tropicalis. II. Serologic behavior of the cell membrane and cell content following phenol-water extraction]. | 1 |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 25 | |
| 19 | [Clinical and virological study on the acute epidemic exanthema (so-called vesicular disease). II. Identification of the cytopathogenic agents and serological reaction of the patients]. | 0 |
| 20 | Infections with Influenza Virus Type D/Sendai in Germany. | 2 |
About R. Siegert
R. Siegert is a scholar working on Infectious Diseases, Immunology and Epidemiology, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (12 papers), Influenza Virus Research Studies (8 papers) and Respiratory viral infections research (7 papers). The work is most often cited by research in Infectious Diseases (435 citations), Emergency Medical Services (99 citations) and Epidemiology (371 citations). R. Siegert has collaborated with scholars based in Germany. Frequent co-authors include G. A. Martini, Werner Slenczka, D. Falke, G. Müller, K. Radsak, D. Peters, Hao Shu, Günter Schwarzmann, Herbert Wiegandt and W. Vogell. Their work appears in journals such as American Journal of Epidemiology, Journal of Bacteriology and Infection and Immunity.
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.