Barbara C. Worst
Impact in
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- Glioma Diagnosis and Treatment
- Genetics and Neurodevelopmental Disorders
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- Histone Deacetylase Inhibitors Research
- Signaling Pathways in Disease
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
Papers in
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- Histone Deacetylase Inhibitors Research 3
- Signaling Pathways in Disease 2
- Protein Degradation and Inhibitors 1
- Oncology 3
- Peptidase Inhibition and Analysis 2
- Cancer Immunotherapy and Biomarkers 1
- Lung Cancer Research Studies 1
- Co-authors
- Johannes Backs (2 shared papers)Lorenz Lehmann (2 shared papers)Hugo A. Katus (1 shared paper)Eric N. Olson (1 shared paper)David M. Patrick (1 shared paper)Michael M. Kreußer (1 shared paper)Lan Chen (1 shared paper)Qiang Sun (1 shared paper)
- Journals
- Journal of Clinical Oncology (1 paper)Neuro-Oncology (1 paper)The Journal of Cell Biology (1 paper)Cellular and Molecular Life Sciences (1 paper)Science Signaling (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Barbara C. Worst
5 papers receiving 202 citations
Peers
Comparison fields: 5 of 44
- Genetics 26
- Molecular Biology 155
- Cardiology and Cardiovascular Medicine 44
- Cancer Research 20
- Oncology 36
Countries citing papers authored by Barbara C. Worst
This map shows the geographic impact of Barbara C. Worst'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 Barbara C. Worst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara C. Worst more than expected).
Fields of papers citing papers by Barbara C. Worst
This network shows the impact of papers produced by Barbara C. Worst. 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 Barbara C. Worst. The network helps show where Barbara C. Worst may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara C. Worst, 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 | 2011 | 114 | |
| 2 | 2017 | 44 | |
| 3 | 2013 | 43 | |
| 4 | 2019 | 3 | |
| 5 | 2016 | 1 |
About Barbara C. Worst
Barbara C. Worst is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Surgery and Genetics, having authored 5 papers that have together received 205 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (3 papers), Peptidase Inhibition and Analysis (2 papers), Signaling Pathways in Disease (2 papers), Tuberculosis Research and Epidemiology (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Lung Cancer Treatments and Mutations (1 paper), Lung Cancer Research Studies (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Genetics (26 citations), Molecular Biology (155 citations), Cardiology and Cardiovascular Medicine (44 citations), Cancer Research (20 citations) and Oncology (36 citations). Barbara C. Worst has collaborated with scholars based in Germany and United States. Frequent co-authors include Johannes Backs, Lorenz Lehmann, Hugo A. Katus, Eric N. Olson, David M. Patrick, Michael M. Kreußer, Lan Chen, Qiang Sun, Kun-Wei Liu and Robert J. Wechsler‐Reya. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, The Journal of Cell Biology, Cellular and Molecular Life Sciences and Science Signaling.
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.