Mareike Wendorff
Impact in
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- Computational Drug Discovery Methods
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- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
Papers in
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- vaccines and immunoinformatics approaches 2
- Machine Learning in Bioinformatics 1
- Biochemical and Structural Characterization 1
- Glycosylation and Glycoproteins Research 1
- Genomics and Phylogenetic Studies 1
- Oncology 2
- Co-authors
- André Franke (5 shared papers)Hesham ElAbd (3 shared papers)Yana Bromberg (1 shared paper)Tobias L. Lenz (2 shared papers)Adrienne Hoarfrost (1 shared paper)Mareike Witte (1 shared paper)Matthias Munz (1 shared paper)Elisa Rosati (1 shared paper)
- Journals
- BMC Bioinformatics (2 papers)Experimental Dermatology (1 paper)Digestive and Liver Disease (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- GermanySouth KoreaJapan
In The Last Decade
Mareike Wendorff
5 papers receiving 91 citations
Peers
Comparison fields: 5 of 39
- Computational Theory and Mathematics 18
- Molecular Biology 71
- Microbiology 6
- Immunology 14
- Dermatology 4
Countries citing papers authored by Mareike Wendorff
This map shows the geographic impact of Mareike Wendorff'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 Mareike Wendorff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mareike Wendorff more than expected).
Fields of papers citing papers by Mareike Wendorff
This network shows the impact of papers produced by Mareike Wendorff. 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 Mareike Wendorff. The network helps show where Mareike Wendorff may publish in the future.
Co-authors
The 25 scholars most cited alongside Mareike Wendorff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 66 | |
| 2 | 2019 | 12 | |
| 3 | 2020 | 7 | |
| 4 | 2021 | 4 | |
| 5 | 2023 | 4 |
About Mareike Wendorff
Mareike Wendorff is a scholar working on Molecular Biology, Oncology, Dermatology, Ophthalmology and Rheumatology, having authored 5 papers that have together received 93 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (2 papers), Psoriasis: Treatment and Pathogenesis (1 paper), Machine Learning in Bioinformatics (1 paper), Systemic Lupus Erythematosus Research (1 paper), Biochemical and Structural Characterization (1 paper), Asthma and respiratory diseases (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (18 citations), Molecular Biology (71 citations), Microbiology (6 citations), Immunology (14 citations) and Dermatology (4 citations). Mareike Wendorff has collaborated with scholars based in Germany, South Korea and Japan. Frequent co-authors include André Franke, Hesham ElAbd, Yana Bromberg, Tobias L. Lenz, Adrienne Hoarfrost, Mareike Witte, Matthias Munz, Elisa Rosati, Eva Ellinghaus and Frauke Degenhardt. Their work appears in journals such as BMC Bioinformatics, Experimental Dermatology, Digestive and Liver Disease and Frontiers in Immunology.
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.