Manuela Benary
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Cancer Genomics and Diagnostics
Papers in
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- Cancer Genomics and Diagnostics 7
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- Biomedical Text Mining and Ontologies 3
- Single-cell and spatial transcriptomics 2
- Co-authors
- Damian Rieke (7 shared papers)Ulrich Keilholz (8 shared papers)Ulf Leser (3 shared papers)Dieter Beule (3 shared papers)Max Schmidt (2 shared papers)Ulrich Keller (4 shared papers)Maren Knödler (2 shared papers)Georg Hilfenhaus (1 shared paper)
- Journals
- European Journal of Cancer (2 papers)Journal of Clinical Oncology (1 paper)JAMA Network Open (1 paper)Journal of Biological Chemistry (1 paper)Cell Reports (1 paper)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Manuela Benary
14 papers receiving 243 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Health Informatics 89
- Cancer Research 46
- Health Information Management 14
- Radiology, Nuclear Medicine and Imaging 60
- Artificial Intelligence 75
Countries citing papers authored by Manuela Benary
This map shows the geographic impact of Manuela Benary'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 Manuela Benary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuela Benary more than expected).
Fields of papers citing papers by Manuela Benary
This network shows the impact of papers produced by Manuela Benary. 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 Manuela Benary. The network helps show where Manuela Benary may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuela Benary, 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 | Leveraging Large Language Models for Decision Support in Personalized Oncology Hit paper breakdown → | 2023 | 139 |
| 2 | 2013 | 17 | |
| 3 | 2020 | 16 | |
| 4 | 2019 | 15 | |
| 5 | 2020 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2012 | 8 | |
| 8 | 2012 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2010 | 4 | |
| 11 | Modeling IL-2 gene expression in human regulatory T cells. | 2008 | 3 |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2008 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 |
About Manuela Benary
Manuela Benary is a scholar working on Cancer Research, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 16 papers that have together received 245 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Biomedical Text Mining and Ontologies (3 papers), Genomics and Rare Diseases (3 papers), Single-cell and spatial transcriptomics (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Health Informatics (89 citations), Cancer Research (46 citations), Health Information Management (14 citations), Radiology, Nuclear Medicine and Imaging (60 citations) and Artificial Intelligence (75 citations). Manuela Benary has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Damian Rieke, Ulrich Keilholz, Ulf Leser, Dieter Beule, Max Schmidt, Ulrich Keller, Maren Knödler, Georg Hilfenhaus, Mani Nassir and Dominik Soll. Their work appears in journals such as European Journal of Cancer, Journal of Clinical Oncology, JAMA Network Open, Journal of Biological Chemistry and Cell Reports.
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.