Barbara C. Worst
Impact in
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- Histone Deacetylase Inhibitors Research
- Signaling Pathways in Disease
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
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- Glioma Diagnosis and Treatment
- Genetics and Neurodevelopmental Disorders
Papers in
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- Histone Deacetylase Inhibitors Research 3
- Signaling Pathways in Disease 2
- Protein Degradation and Inhibitors 1
- Chromatin Remodeling and Cancer 1
- Oncology 3
- Peptidase Inhibition and Analysis 2
- Lung Cancer Research Studies 1
- Co-authors
- Lorenz Lehmann (2 shared papers)Johannes Backs (2 shared papers)Michael M. Kreußer (1 shared paper)Lan Chen (1 shared paper)Hugo A. Katus (1 shared paper)David M. Patrick (1 shared paper)Qiang Sun (1 shared paper)Eric N. Olson (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Journal of Clinical Oncology (1 paper)Cellular and Molecular Life Sciences (1 paper)Science Signaling (1 paper)Neuro-Oncology (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Barbara C. Worst
5 papers receiving 196 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 162
- Genetics 25
- Cardiology and Cardiovascular Medicine 46
- Cancer Research 23
- Oncology 40
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 | 112 | |
| 2 | 2017 | 43 | |
| 3 | 2013 | 42 | |
| 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 201 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (3 papers), Signaling Pathways in Disease (2 papers), Peptidase Inhibition and Analysis (2 papers), Protein Degradation and Inhibitors (1 paper), Diagnosis and treatment of tuberculosis (1 paper), Chromatin Remodeling and Cancer (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Molecular Biology (162 citations), Genetics (25 citations), Cardiology and Cardiovascular Medicine (46 citations), Cancer Research (23 citations) and Oncology (40 citations). Barbara C. Worst has collaborated with scholars based in Germany and United States. Frequent co-authors include Lorenz Lehmann, Johannes Backs, Michael M. Kreußer, Lan Chen, Hugo A. Katus, David M. Patrick, Qiang Sun, Eric N. Olson, Kun-Wei Liu and Kristian W. Pajtler. Their work appears in journals such as The Journal of Cell Biology, Journal of Clinical Oncology, Cellular and Molecular Life Sciences, Science Signaling and Neuro-Oncology.
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.