Friedlinde A. Bautz
- Molecular Biology top 10%
- Genetics top 5%
- Immunology top 10%
- Ecology top 5%
- Cell Biology top 5%
- Co-authors
- Ekkehard K.F. BautzElisabeth WulfThomas WielandHeinz FaulstichJohn J. DunnE. K. F. BautzMartin BlüthnerHans H. Guldner
- Topics
- Monoclonal and Polyclonal Antibodies Research (11 papers)RNA and protein synthesis mechanisms (10 papers)Bacteriophages and microbial interactions (7 papers)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Friedlinde A. Bautz
34 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.2k
- Genetics 377
- Immunology 297
- Ecology 281
- Cell Biology 267
Countries citing papers authored by Friedlinde A. Bautz
This map shows the geographic impact of Friedlinde A. Bautz'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 Friedlinde A. Bautz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Friedlinde A. Bautz more than expected).
Fields of papers citing papers by Friedlinde A. Bautz
This network shows the impact of papers produced by Friedlinde A. Bautz. 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 Friedlinde A. Bautz. The network helps show where Friedlinde A. Bautz may publish in the future.
Co-authorship network of co-authors of Friedlinde A. Bautz
This figure shows the co-authorship network connecting the top 25 collaborators of Friedlinde A. Bautz. A scholar is included among the top collaborators of Friedlinde A. Bautz 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 Friedlinde A. Bautz. Friedlinde A. Bautz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 32 | |
| 3 | 23 | |
| 4 | 10 | |
| 5 | 24 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 67 | |
| 9 | 20 | |
| 10 | 62 | |
| 11 | Autoimmune sera recognize a 100 kD nuclear protein antigen (sp-100). | 86 |
| 12 | 21 | |
| 13 | Human anti-centromere sera recognise a 19.5 kD non-histone chromosomal protein from HeLa cells. | 74 |
| 14 | 14 | |
| 15 | 20 | |
| 16 | 34 | |
| 17 | 108 | |
| 18 | 119 | |
| 19 | 7 | |
| 20 | 121 |
About Friedlinde A. Bautz
Friedlinde A. Bautz is a scholar working on Gastroenterology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), RNA and protein synthesis mechanisms (10 papers) and Bacteriophages and microbial interactions (7 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cell Biology (267 citations) and Immunology (297 citations). Friedlinde A. Bautz has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Ekkehard K.F. Bautz, Elisabeth Wulf, Thomas Wieland, Heinz Faulstich, John J. Dunn, E. K. F. Bautz, Martin Blüthner, Hans H. Guldner, Edward Penner and Carin Szostecki. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental 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.