Daniel Horn‐Ghetko
Impact in
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- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
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- Peptidase Inhibition and Analysis
Papers in
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- Ubiquitin and proteasome pathways 8
- Protein Degradation and Inhibitors 3
- Glycosylation and Glycoproteins Research 2
- RNA modifications and cancer 2
- Biochemical and Structural Characterization 1
- Oncology 7
- Peptidase Inhibition and Analysis 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Brenda A. Schulman (7 shared papers)Kathrin Lang (3 shared papers)J. Rajan Prabu (4 shared papers)Maximilian Fottner (3 shared papers)Kheewoong Baek (3 shared papers)Monique P. C. Mulder (3 shared papers)Ville R. I. Kaila (1 shared paper)Alexander Jussupow (1 shared paper)
- Journals
- Nature Chemical Biology (3 papers)Angewandte Chemie International Edition (2 papers)Biochemical Journal (1 paper)Nature (1 paper)Current Opinion in Structural Biology (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Daniel Horn‐Ghetko
10 papers receiving 415 citations
Peers
Comparison fields: 5 of 50
- Molecular Biology 375
- Oncology 122
- Virology 18
- Organic Chemistry 67
- Cell Biology 29
Countries citing papers authored by Daniel Horn‐Ghetko
This map shows the geographic impact of Daniel Horn‐Ghetko'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 Horn‐Ghetko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Horn‐Ghetko more than expected).
Fields of papers citing papers by Daniel Horn‐Ghetko
This network shows the impact of papers produced by Daniel Horn‐Ghetko. 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 Horn‐Ghetko. The network helps show where Daniel Horn‐Ghetko may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Horn‐Ghetko, 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 | 2021 | 126 | |
| 2 | 2019 | 108 | |
| 3 | 2017 | 68 | |
| 4 | 2021 | 41 | |
| 5 | 2023 | 38 | |
| 6 | 2022 | 14 | |
| 7 | 2017 | 12 | |
| 8 | 2023 | 7 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 2 |
About Daniel Horn‐Ghetko
Daniel Horn‐Ghetko is a scholar working on Molecular Biology, Oncology, Epidemiology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 419 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Peptidase Inhibition and Analysis (4 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related Molecular Pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers), Autophagy in Disease and Therapy (2 papers), RNA modifications and cancer (2 papers) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Molecular Biology (375 citations), Oncology (122 citations), Virology (18 citations), Organic Chemistry (67 citations) and Cell Biology (29 citations). Daniel Horn‐Ghetko has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Brenda A. Schulman, Kathrin Lang, J. Rajan Prabu, Maximilian Fottner, Kheewoong Baek, Monique P. C. Mulder, Ville R. I. Kaila, Alexander Jussupow, Anja Bremm and Andreas‐David Brunner. Their work appears in journals such as Nature Chemical Biology, Angewandte Chemie International Edition, Biochemical Journal, Nature and Current Opinion in Structural Biology.
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.