Daniel Baty
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- Monoclonal and Polyclonal Antibodies Research 53
- Immunology top 2%
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 24
- Lipid Membrane Structure and Behavior 18
- Glycosylation and Glycoproteins Research 17
- Advanced Biosensing Techniques and Applications 17
- Protein purification and stability 11
- Advanced biosensing and bioanalysis techniques 10
- Endocrinology top 2%
- Genetics top 2%
- Bacterial Genetics and Biotechnology 33
- Co-authors
- Patrick ChamesMarc Van RegenmortelÉtienne WeissClaude LazdunskiF. PattusPierre ChambonRoger D. EverettVincent Géli
- Journals
- Journal of Molecular Biology (8 papers)European Journal of Biochemistry (7 papers)Journal of Bacteriology (6 papers)
- Partner nations
- FranceRussiaUnited States
In The Last Decade
Daniel Baty
119 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Radiology, Nuclear Medicine and Imaging 1.7k
- Immunology 1.0k
- Molecular Biology 3.2k
- Endocrinology 199
- Genetics 1.1k
Countries citing papers authored by Daniel Baty
This map shows the geographic impact of Daniel Baty'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 Baty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Baty more than expected).
Fields of papers citing papers by Daniel Baty
This network shows the impact of papers produced by Daniel Baty. 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 Baty. The network helps show where Daniel Baty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Baty, 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 | 2018 | 32 | |
| 2 | 2017 | 61 | |
| 3 | 2014 | 0 | |
| 4 | 2013 | 58 | |
| 5 | 2013 | 30 | |
| 6 | 2012 | 26 | |
| 7 | 2010 | 29 | |
| 8 | 2009 | 270 | |
| 9 | Therapeutic antibodies: successes, limitations and hopes for the futurebreakdown → | 2009 | 1065 |
| 10 | 2007 | 72 | |
| 11 | 2006 | 76 | |
| 12 | 2002 | 22 | |
| 13 | 2002 | 8 | |
| 14 | Immunociblage des tumeurs : situation et perspectives en 2000 | 2000 | 1 |
| 15 | 1994 | 19 | |
| 16 | 1992 | 24 | |
| 17 | 1990 | 26 | |
| 18 | 1989 | 10 | |
| 19 | 1989 | 15 | |
| 20 | 1981 | 23 |
About Daniel Baty
Daniel Baty is a scholar working on Radiology, Nuclear Medicine and Imaging, Virology and Genetics, having authored 120 papers that have together received 5.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (53 papers), Bacterial Genetics and Biotechnology (33 papers), RNA and protein synthesis mechanisms (24 papers), Lipid Membrane Structure and Behavior (18 papers), Glycosylation and Glycoproteins Research (17 papers), Advanced Biosensing Techniques and Applications (17 papers), Protein purification and stability (11 papers) and Advanced biosensing and bioanalysis techniques (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.7k citations), Immunology (1.0k citations) and Molecular Biology (3.2k citations). Daniel Baty has collaborated with scholars based in France, Russia and United States. Frequent co-authors include Patrick Chames, Marc Van Regenmortel, Étienne Weiss, Claude Lazdunski, F. Pattus, Pierre Chambon, Roger D. Everett, Vincent Géli, Denis Duché and Jeremy H. Lakey. Their work appears in journals such as Journal of Molecular Biology, European Journal of Biochemistry, Journal of Bacteriology, Biochemistry and Journal of Biological Chemistry.
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.