Eva Rosenbaum
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
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- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Photosynthetic Processes and Mechanisms
- RNA modifications and cancer
Papers in
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- Mitochondrial Function and Pathology 2
- Glycosylation and Glycoproteins Research 1
- Oncology 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Oliver Daumke (4 shared papers)Katja Faelber (2 shared papers)David Schwefel (2 shared papers)Oliver Rocks (2 shared papers)Jason A. Mears (1 shared paper)Chris Fröhlich (1 shared paper)Bruno Franzetti (4 shared papers)M. Asunción Durá (4 shared papers)
- Journals
- Scientific American (4 papers)Nature Communications (1 paper)Journal of Cell Science (1 paper)Archives of Biochemistry and Biophysics (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Eva Rosenbaum
15 papers receiving 521 citations
Peers
Comparison fields: 5 of 78
- Clinical Biochemistry 112
- Molecular Biology 417
- Cell Biology 99
- Structural Biology 6
- Theoretical Computer Science 3
Countries citing papers authored by Eva Rosenbaum
This map shows the geographic impact of Eva Rosenbaum'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 Eva Rosenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Rosenbaum more than expected).
Fields of papers citing papers by Eva Rosenbaum
This network shows the impact of papers produced by Eva Rosenbaum. 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 Eva Rosenbaum. The network helps show where Eva Rosenbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Rosenbaum, 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 | 2013 | 238 | |
| 2 | 2019 | 93 | |
| 3 | 2015 | 40 | |
| 4 | 2013 | 36 | |
| 5 | 2014 | 30 | |
| 6 | 2009 | 29 | |
| 7 | 2011 | 15 | |
| 8 | 2013 | 11 | |
| 9 | 2010 | 10 | |
| 10 | 2024 | 7 | |
| 11 | 1958 | 6 | |
| 12 | 1957 | 4 | |
| 13 | 1955 | 2 | |
| 14 | 1956 | 2 | |
| 15 | 2022 | 1 |
About Eva Rosenbaum
Eva Rosenbaum is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Renewable Energy, Sustainability and the Environment, having authored 15 papers that have together received 524 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Cellular transport and secretion (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Metalloenzymes and iron-sulfur proteins (2 papers), Mitochondrial Function and Pathology (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Methemoglobinemia and Tumor Lysis Syndrome (1 paper). The work is most often cited by research in Clinical Biochemistry (112 citations), Molecular Biology (417 citations), Cell Biology (99 citations), Structural Biology (6 citations) and Theoretical Computer Science (3 citations). Eva Rosenbaum has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Oliver Daumke, Katja Faelber, David Schwefel, Oliver Rocks, Jason A. Mears, Chris Fröhlich, Bruno Franzetti, M. Asunción Durá, Frank Gabel and A. Schuetz. Their work appears in journals such as Scientific American, Nature Communications, Journal of Cell Science, Archives of Biochemistry and Biophysics and Molecular Microbiology.
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.