Daniel Christ
- Immunology top 2%
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 14
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- Monoclonal and Polyclonal Antibodies Research 39
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 21
- Protein purification and stability 11
- RNA and protein synthesis mechanisms 8
- DNA and Nucleic Acid Chemistry 7
- Virology top 5%
- Oncology top 10%
- CAR-T cell therapy research 8
- Co-authors
- Romain RouetPeter SchofieldRodrigo Vazquez-LombardiDavid C. LoweKip DudgeonPeter R. SchofieldLutz JermutusD.B. Langley
- Journals
- Protein Engineering Design and Selection (9 papers)Proceedings of the National Academy of Sciences (7 papers)International Journal of Biological Macromolecules (3 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Daniel Christ
77 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 1.3k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Molecular Biology 2.0k
- Virology 88
- Oncology 434
Countries citing papers authored by Daniel Christ
This map shows the geographic impact of Daniel Christ'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 Christ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Christ more than expected).
Fields of papers citing papers by Daniel Christ
This network shows the impact of papers produced by Daniel Christ. 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 Christ. The network helps show where Daniel Christ may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Christ, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 16 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 19 | |
| 7 | 2020 | 85 | |
| 8 | 2019 | 52 | |
| 9 | 2018 | 91 | |
| 10 | I-motif DNA structures are formed in the nuclei of human cellsbreakdown → | 2018 | 433 |
| 11 | 2018 | 73 | |
| 12 | 2017 | 207 | |
| 13 | 2017 | 34 | |
| 14 | 2017 | 7 | |
| 15 | 2017 | 5 | |
| 16 | 2015 | 177 | |
| 17 | 2014 | 181 | |
| 18 | 2013 | 6 | |
| 19 | 2012 | 58 | |
| 20 | 2003 | 11 |
About Daniel Christ
Daniel Christ is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology, having authored 78 papers that have together received 3.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (39 papers), Glycosylation and Glycoproteins Research (21 papers), Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (14 papers), Protein purification and stability (11 papers), RNA and protein synthesis mechanisms (8 papers), CAR-T cell therapy research (8 papers) and DNA and Nucleic Acid Chemistry (7 papers). The work is most often cited by research in Immunology (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Molecular Biology (2.0k citations). Daniel Christ has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Romain Rouet, Peter Schofield, Rodrigo Vazquez-Lombardi, David C. Lowe, Kip Dudgeon, Peter R. Schofield, Lutz Jermutus, D.B. Langley, Kristoffer Famm and Greg Winter. Their work appears in journals such as Protein Engineering Design and Selection, Proceedings of the National Academy of Sciences, International Journal of Biological Macromolecules, Immunity and Nucleic Acids Research.
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.