Michaela Wagner
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
Papers in
-
- Cell death mechanisms and regulation 4
- Immunology 14
- Toxin Mechanisms and Immunotoxins 5
- Immune Cell Function and Interaction 4
- Co-authors
- Sonja‐Verena Albers (10 shared papers)Arnold J. M. Driessen (4 shared papers)Alexander Wagner (3 shared papers)Christian Peschel (9 shared papers)Julia Reimann (2 shared papers)Kerstin Lassak (1 shared paper)Benjamin H. Meyer (1 shared paper)Marleen van Wolferen (1 shared paper)
- Journals
- Blood (4 papers)Scientific Reports (3 papers)Journal of Immunological Methods (2 papers)Leukemia (2 papers)Leukemia Research (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Michaela Wagner
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Hematology 118
- Molecular Biology 714
- Biotechnology 76
- Genetics 85
- Genetics 222
Countries citing papers authored by Michaela Wagner
This map shows the geographic impact of Michaela Wagner'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 Michaela Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Wagner more than expected).
Fields of papers citing papers by Michaela Wagner
This network shows the impact of papers produced by Michaela Wagner. 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 Michaela Wagner. The network helps show where Michaela Wagner may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Wagner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 168 | |
| 2 | 2008 | 122 | |
| 3 | 2009 | 98 | |
| 4 | 2009 | 72 | |
| 5 | 2011 | 56 | |
| 6 | 2015 | 54 | |
| 7 | 1994 | 51 | |
| 8 | 2011 | 47 | |
| 9 | 2015 | 45 | |
| 10 | 2011 | 39 | |
| 11 | 2013 | 30 | |
| 12 | 2017 | 30 | |
| 13 | 2009 | 30 | |
| 14 | 2014 | 29 | |
| 15 | 2020 | 27 | |
| 16 | 2012 | 23 | |
| 17 | 2020 | 23 | |
| 18 | 2009 | 23 | |
| 19 | 2015 | 22 | |
| 20 | 2011 | 20 |
About Michaela Wagner
Michaela Wagner is a scholar working on Molecular Biology, Immunology, Materials Chemistry, Oncology and Hematology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Toxin Mechanisms and Immunotoxins (5 papers), Cell death mechanisms and regulation (4 papers), Immune Cell Function and Interaction (4 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Hematology (118 citations), Molecular Biology (714 citations), Biotechnology (76 citations), Genetics (85 citations) and Genetics (222 citations). Michaela Wagner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Sonja‐Verena Albers, Arnold J. M. Driessen, Alexander Wagner, Christian Peschel, Julia Reimann, Kerstin Lassak, Benjamin H. Meyer, Marleen van Wolferen, Michael Fiegl and Ingo Ringshausen. Their work appears in journals such as Blood, Scientific Reports, Journal of Immunological Methods, Leukemia and Leukemia Research.
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.