Daniel Baty
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Immunology top 2%
Papers in
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- Monoclonal and Polyclonal Antibodies Research 52
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- RNA and protein synthesis mechanisms 24
- Advanced Biosensing Techniques and Applications 17
- Lipid Membrane Structure and Behavior 16
- Glycosylation and Glycoproteins Research 15
- Protein purification and stability 12
- Co-authors
- Patrick Chames (52 shared papers)Étienne Weiss (1 shared paper)Marc Van Regenmortel (1 shared paper)Claude J. Lazdunski (28 shared papers)F. Pattus (17 shared papers)Pierre Chambon (3 shared papers)Roger D. Everett (2 shared papers)Vincent Géli (14 shared papers)
In The Last Decade
Daniel Baty
124 papers receiving 5.0k citations
Daniel Baty's Hit Papers
Peers
Comparison fields: 5 of 122
- Radiology, Nuclear Medicine and Imaging 1.7k
- Immunology 983
- Molecular Biology 3.2k
- Genetics 1.1k
- Endocrinology 203
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-authors
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
Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Therapeutic antibodies: successes, limitations and hopes for the future Hit paper breakdown → | 2009 | 1127 |
| 2 | 2009 | 286 | |
| 3 | 1983 | 230 | |
| 4 | 2011 | 135 | |
| 5 | 1988 | 93 | |
| 6 | 1991 | 92 | |
| 7 | 2014 | 90 | |
| 8 | 1993 | 80 | |
| 9 | 2006 | 80 | |
| 10 | 1984 | 80 | |
| 11 | 1984 | 79 | |
| 12 | 1988 | 78 | |
| 13 | 2007 | 77 | |
| 14 | 1991 | 74 | |
| 15 | 1987 | 72 | |
| 16 | 1991 | 70 | |
| 17 | 1987 | 68 | |
| 18 | 2017 | 66 | |
| 19 | 1979 | 61 | |
| 20 | 2011 | 61 |
About Daniel Baty
Daniel Baty is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics, Immunology and Virology, having authored 125 papers that have together received 5.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (52 papers), Bacterial Genetics and Biotechnology (35 papers), RNA and protein synthesis mechanisms (24 papers), Advanced Biosensing Techniques and Applications (17 papers), Lipid Membrane Structure and Behavior (16 papers), Glycosylation and Glycoproteins Research (15 papers), Protein purification and stability (12 papers) and Bacteriophages and microbial interactions (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.7k citations), Immunology (983 citations), Molecular Biology (3.2k citations), Genetics (1.1k citations) and Endocrinology (203 citations). Daniel Baty has collaborated with scholars based in France, Russia and Germany. Frequent co-authors include Patrick Chames, Étienne Weiss, Marc Van Regenmortel, Claude J. Lazdunski, F. Pattus, Pierre Chambon, Roger D. Everett, Vincent Géli, Denis Duché and Jeremy H. Lakey. Their work appears in journals such as European Journal of Biochemistry, Journal of Molecular Biology, Journal of Bacteriology, Gene 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.