Daniel Hübschmann
Impact in
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- Cancer Genomics and Diagnostics
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- PARP inhibition in cancer therapy
Papers in
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- Bioinformatics and Genomic Networks 11
- Gene expression and cancer classification 9
- DNA Repair Mechanisms 5
- Protein Degradation and Inhibitors 4
- Oncology 13
- PARP inhibition in cancer therapy 6
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Zuguang Gu (9 shared papers)Matthias Schlesner (8 shared papers)Stefan Fröhling (19 shared papers)Carolin Andresen (5 shared papers)Roland Eils (5 shared papers)Albrecht Stenzinger (6 shared papers)Christoph E. Heilig (11 shared papers)Simon Kreutzfeldt (9 shared papers)
- Journals
- Annals of Oncology (9 papers)Bioinformatics (4 papers)Nucleic Acids Research (3 papers)Genes Chromosomes and Cancer (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Hübschmann
39 papers receiving 606 citations
Daniel Hübschmann's Hit Papers
Peers
Comparison fields: 5 of 112
- Cancer Research 124
- Oncology 135
- Molecular Biology 335
- Immunology 77
- Aging 6
Countries citing papers authored by Daniel Hübschmann
This map shows the geographic impact of Daniel Hübschmann'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 Daniel Hübschmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hübschmann more than expected).
Fields of papers citing papers by Daniel Hübschmann
This network shows the impact of papers produced by Daniel Hübschmann. 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 Daniel Hübschmann. The network helps show where Daniel Hübschmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Hübschmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 153 | |
| 2 | SimplifyEnrichment : A Bioconductor Package for Clustering and Visualizing Functional Enrichment Results Hit paper breakdown → | 2022 | 131 |
| 3 | 2022 | 53 | |
| 4 | 2022 | 49 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 20 | |
| 7 | 2022 | 18 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2016 | 9 | |
| 16 | 2023 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2019 | 5 |
About Daniel Hübschmann
Daniel Hübschmann is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 44 papers that have together received 611 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (9 papers), PARP inhibition in cancer therapy (6 papers), DNA Repair Mechanisms (5 papers), Sarcoma Diagnosis and Treatment (5 papers), Protein Degradation and Inhibitors (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Cancer Research (124 citations), Oncology (135 citations), Molecular Biology (335 citations), Immunology (77 citations) and Aging (6 citations). Daniel Hübschmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Zuguang Gu, Matthias Schlesner, Stefan Fröhling, Carolin Andresen, Roland Eils, Albrecht Stenzinger, Christoph E. Heilig, Simon Kreutzfeldt, Christian Sutter and Veronica Teleanu. Their work appears in journals such as Annals of Oncology, Bioinformatics, Nucleic Acids Research, Genes Chromosomes and Cancer and Journal of Clinical 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.