Daniel Caput
- Oncology top 0.2%
- Cancer-related Molecular Pathways 19
- Biotechnology top 0.05%
- Cancer Research and Treatments 7
- Cellular and Molecular Neuroscience top 0.2%
- Neuropeptides and Animal Physiology 14
- Neuroscience and Neuropharmacology Research 9
- Immunology top 0.5%
- Immune Cell Function and Interaction 27
- Toxin Mechanisms and Immunotoxins 20
- Molecular Biology top 0.2%
- Receptor Mechanisms and Signaling 16
- RNA and protein synthesis mechanisms 9
- Co-authors
- Mourad KaghadFrank McKeonPascual FerraraAnnie YangA MintyPascale ChalonMarc W. KirschnerXavier Dumont
- Journals
- Journal of Biological Chemistry (15 papers)FEBS Letters (14 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Daniel Caput
121 papers receiving 20.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Oncology 6.3k
- Biotechnology 2.0k
- Cellular and Molecular Neuroscience 3.9k
- Immunology 3.6k
- Molecular Biology 11.4k
Countries citing papers authored by Daniel Caput
This map shows the geographic impact of Daniel Caput'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 Caput with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Caput more than expected).
Fields of papers citing papers by Daniel Caput
This network shows the impact of papers produced by Daniel Caput. 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 Caput. The network helps show where Daniel Caput may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Caput, 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 | 2004 | 102 | |
| 2 | 2003 | 4 | |
| 3 | p73-deficient mice have neurological, pheromonal and inflammatory defects but lack spontaneous tumoursbreakdown → | 2000 | 836 |
| 4 | 1999 | 108 | |
| 5 | 1999 | 11 | |
| 6 | 1998 | 21 | |
| 7 | 1998 | 10 | |
| 8 | 1998 | 3 | |
| 9 | 1997 | 187 | |
| 10 | 1996 | 163 | |
| 11 | 1995 | 264 | |
| 12 | 1995 | 69 | |
| 13 | ORL1, a novel member of the opioid receptor familybreakdown → | 1994 | 932 |
| 14 | 1994 | 239 | |
| 15 | 1993 | 81 | |
| 16 | 1993 | 41 | |
| 17 | 1993 | 83 | |
| 18 | 1993 | 58 | |
| 19 | 1993 | 32 | |
| 20 | 1991 | 94 |
About Daniel Caput
Daniel Caput is a scholar working on Immunology, Biotechnology and Cellular and Molecular Neuroscience, having authored 121 papers that have together received 21.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), Toxin Mechanisms and Immunotoxins (20 papers), Cancer-related Molecular Pathways (19 papers), Receptor Mechanisms and Signaling (16 papers), Neuropeptides and Animal Physiology (14 papers), RNA and protein synthesis mechanisms (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Cancer Research and Treatments (7 papers). The work is most often cited by research in Oncology (6.3k citations), Biotechnology (2.0k citations) and Cellular and Molecular Neuroscience (3.9k citations). Daniel Caput has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Mourad Kaghad, Frank McKeon, Pascual Ferrara, Annie Yang, A Minty, Pascale Chalon, Marc W. Kirschner, Xavier Dumont, Gérard Le Fur and David Shire. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Proceedings of the National Academy of Sciences, Blood and The Journal of Experimental Medicine.
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.