Alexandra Schubert‐Unkmeir
- Microbiology top 0.5%
- Molecular Biology
- Epidemiology top 10%
- Immunology top 10%
- Infectious Diseases top 5%
- Co-authors
- Matthias FroschSabrina HeblingHerbert SchmidtHeiko SlaninaMartin EigenthalerGuido DietrichBrandon J. KimAlexander Simonis
- Topics
- Bacterial Infections and Vaccines (34 papers)Immune Response and Inflammation (14 papers)Lipid Membrane Structure and Behavior (11 papers)
- Cited by
- MicrobiologyEndocrinologyNeurology
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Alexandra Schubert‐Unkmeir
55 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Microbiology 657
- Molecular Biology 554
- Epidemiology 337
- Immunology 314
- Infectious Diseases 292
Countries citing papers authored by Alexandra Schubert‐Unkmeir
This map shows the geographic impact of Alexandra Schubert‐Unkmeir'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 Alexandra Schubert‐Unkmeir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra Schubert‐Unkmeir more than expected).
Fields of papers citing papers by Alexandra Schubert‐Unkmeir
This network shows the impact of papers produced by Alexandra Schubert‐Unkmeir. 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 Alexandra Schubert‐Unkmeir. The network helps show where Alexandra Schubert‐Unkmeir may publish in the future.
Co-authorship network of co-authors of Alexandra Schubert‐Unkmeir
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Schubert‐Unkmeir. A scholar is included among the top collaborators of Alexandra Schubert‐Unkmeir 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 Alexandra Schubert‐Unkmeir. Alexandra Schubert‐Unkmeir 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 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 14 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 19 | |
| 12 | 41 | |
| 13 | 8 | |
| 14 | 38 | |
| 15 | 17 | |
| 16 | 136 | |
| 17 | 60 | |
| 18 | 8 | |
| 19 | 4 | |
| 20 | 144 |
About Alexandra Schubert‐Unkmeir
Alexandra Schubert‐Unkmeir is a scholar working on Microbiology, Neurology and Immunology, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (34 papers), Immune Response and Inflammation (14 papers) and Lipid Membrane Structure and Behavior (11 papers). The work is most often cited by research in Microbiology (657 citations), Endocrinology (228 citations) and Neurology (241 citations). Alexandra Schubert‐Unkmeir has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Matthias Frosch, Sabrina Hebling, Herbert Schmidt, Heiko Slanina, Martin Eigenthaler, Guido Dietrich, Brandon J. Kim, Alexander Simonis, Christian Konrad and Kwang Sik Kim. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.
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.