Manuela Benary
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Cancer Genomics and Diagnostics
Papers in
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 2
- Immunotherapy and Immune Responses 1
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Damian Rieke (7 shared papers)Ulrich Keilholz (8 shared papers)Dieter Beule (3 shared papers)Ulf Leser (3 shared papers)Maren Knödler (2 shared papers)Ulrich Keller (4 shared papers)Georg Hilfenhaus (1 shared paper)Mani Nassir (1 shared paper)
- Journals
- European Journal of Cancer (2 papers)Journal of the American Medical Informatics Association (1 paper)Bioinformatics (1 paper)The Oncologist (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Manuela Benary
15 papers receiving 277 citations
Peers
Comparison fields: 5 of 60
- Health Informatics 82
- Cancer Research 39
- Health Information Management 12
- Radiology, Nuclear Medicine and Imaging 31
- Artificial Intelligence 51
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 | 2023 | 168 | |
| 2 | 2013 | 18 | |
| 3 | 2020 | 18 | |
| 4 | 2019 | 17 | |
| 5 | 2022 | 13 | |
| 6 | 2020 | 13 | |
| 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 | 2017 | 1 | |
| 15 | 2008 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 |
About Manuela Benary
Manuela Benary is a scholar working on Immunology, Cancer Research, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 281 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Single-cell and spatial transcriptomics (2 papers), Gene Regulatory Network Analysis (2 papers), Immune Response and Inflammation (2 papers), Genomics and Rare Diseases (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Health Informatics (82 citations), Cancer Research (39 citations), Health Information Management (12 citations), Radiology, Nuclear Medicine and Imaging (31 citations) and Artificial Intelligence (51 citations). Manuela Benary has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Damian Rieke, Ulrich Keilholz, Dieter Beule, Ulf Leser, Maren Knödler, Ulrich Keller, Georg Hilfenhaus, Mani Nassir, Max Schmidt and Dominik Soll. Their work appears in journals such as European Journal of Cancer, Journal of the American Medical Informatics Association, Bioinformatics, The Oncologist and Frontiers in Immunology.
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.