Birgitt Schönfisch
- Epidemiology top 5%
- Oncology top 5%
- Dermatology top 1%
- Molecular Biology
- Immunology top 10%
- Co-authors
- Martin RöckenJörg Wehner‐CaroliChristoph MeisnerKay BrantschHelmut BreuningerAndré M. de RoosMarkus WallwienerHansjörg Schild
- Topics
- Gynecological conditions and treatments (8 papers)Theoretical and Computational Physics (8 papers)Cellular Automata and Applications (7 papers)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Birgitt Schönfisch
48 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Epidemiology 694
- Oncology 652
- Dermatology 500
- Molecular Biology 479
- Immunology 283
Countries citing papers authored by Birgitt Schönfisch
This map shows the geographic impact of Birgitt Schönfisch'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 Birgitt Schönfisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgitt Schönfisch more than expected).
Fields of papers citing papers by Birgitt Schönfisch
This network shows the impact of papers produced by Birgitt Schönfisch. 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 Birgitt Schönfisch. The network helps show where Birgitt Schönfisch may publish in the future.
Co-authorship network of co-authors of Birgitt Schönfisch
This figure shows the co-authorship network connecting the top 25 collaborators of Birgitt Schönfisch. A scholar is included among the top collaborators of Birgitt Schönfisch 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 Birgitt Schönfisch. Birgitt Schönfisch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 22 | |
| 10 | 9 | |
| 11 | 27 | |
| 12 | 62 | |
| 13 | 30 | |
| 14 | 36 | |
| 15 | 59 | |
| 16 | 5 | |
| 17 | 18 | |
| 18 | A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational (Monographs on Mathematical Modeling and Computation) | 11 |
| 19 | 54 | |
| 20 | Isozyme Variability in Brazilian Populations of Araucaria angustifolia | 1 |
About Birgitt Schönfisch
Birgitt Schönfisch is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Condensed Matter Physics, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gynecological conditions and treatments (8 papers), Theoretical and Computational Physics (8 papers) and Cellular Automata and Applications (7 papers). The work is most often cited by research in Dermatology (500 citations), Obstetrics and Gynecology (201 citations) and Oncology (652 citations). Birgitt Schönfisch has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Martin Röcken, Jörg Wehner‐Caroli, Christoph Meisner, Kay Brantsch, Helmut Breuninger, André M. de Roos, Markus Wallwiener, Hansjörg Schild, Hans‐Georg Rammensee and Stefan Stevanović. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and The Lancet Oncology.
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.