Daniel Nagel
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- interferon and immune responses
Papers in
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- Protein Structure and Dynamics 5
- Microbial Metabolic Engineering and Bioproduction 4
- Ubiquitin and proteasome pathways 2
- RNA Research and Splicing 2
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- Toxin Mechanisms and Immunotoxins 3
- Co-authors
- Daniel Krappmann (12 shared papers)Michelle Vincendeau (10 shared papers)Andrea C. Eitelhuber (5 shared papers)Kamyar Hadian (6 shared papers)Georg Lenz (3 shared papers)Bernd Dörken (2 shared papers)Peter Lenz (2 shared papers)Michael Grau (2 shared papers)
- Journals
- Phytochemistry (2 papers)Journal of Chemical Theory and Computation (2 papers)Journal of Biological Chemistry (2 papers)AIDS (1 paper)Oncotarget (1 paper)
- Partner nations
- GermanyUnited KingdomBelgium
In The Last Decade
Daniel Nagel
23 papers receiving 877 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 313
- Immunology 290
- Virology 44
- Pathology and Forensic Medicine 151
- Genetics 87
Countries citing papers authored by Daniel Nagel
This map shows the geographic impact of Daniel Nagel'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 Nagel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nagel more than expected).
Fields of papers citing papers by Daniel Nagel
This network shows the impact of papers produced by Daniel Nagel. 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 Nagel. The network helps show where Daniel Nagel may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Nagel, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 187 | |
| 2 | 2010 | 112 | |
| 3 | 2014 | 109 | |
| 4 | 2011 | 89 | |
| 5 | 2013 | 68 | |
| 6 | 2014 | 62 | |
| 7 | 2014 | 34 | |
| 8 | 2009 | 32 | |
| 9 | 1972 | 29 | |
| 10 | 2010 | 27 | |
| 11 | 2016 | 26 | |
| 12 | 2015 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 1972 | 15 | |
| 15 | 2013 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2023 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2019 | 5 | |
| 20 | 2023 | 5 |
About Daniel Nagel
Daniel Nagel is a scholar working on Molecular Biology, Immunology, Cancer Research, Pathology and Forensic Medicine and Infectious Diseases, having authored 24 papers that have together received 899 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (7 papers), Protein Structure and Dynamics (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Ubiquitin and proteasome pathways (2 papers), RNA Research and Splicing (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (313 citations), Immunology (290 citations), Virology (44 citations), Pathology and Forensic Medicine (151 citations) and Genetics (87 citations). Daniel Nagel has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include Daniel Krappmann, Michelle Vincendeau, Andrea C. Eitelhuber, Kamyar Hadian, Georg Lenz, Bernd Dörken, Peter Lenz, Michael Grau, Gerhard Stock and P. S. STEYN. Their work appears in journals such as Phytochemistry, Journal of Chemical Theory and Computation, Journal of Biological Chemistry, AIDS and Oncotarget.
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.