Daniel Ladant
Impact in
- Microbiology top 0.05%
- Bacterial Infections and Vaccines
- Endocrinology top 0.5%
- Escherichia coli research studies
Papers in
- Microbiology 53
- Bacterial Infections and Vaccines 51
- Immunology 36
- Immunotherapy and Immune Responses 20
- Toxin Mechanisms and Immunotoxins 14
- Co-authors
- Agnès Ullmann (24 shared papers)Gouzel Karimova (31 shared papers)Josette Pidoux (1 shared paper)Claude Leclerc (23 shared papers)Peter Šebo (11 shared papers)Alexandre Chenal (34 shared papers)Nathalie Dautin (6 shared papers)Jacques Bellalou (7 shared papers)
- Journals
- Journal of Biological Chemistry (20 papers)Toxins (9 papers)Journal of Bacteriology (7 papers)Biochemistry (5 papers)Toxicon (5 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Daniel Ladant
144 papers receiving 7.9k citations
Daniel Ladant's Hit Papers
Peers
Comparison fields: 5 of 103
- Microbiology 2.2k
- Endocrinology 710
- Genetics 2.6k
- Immunology 1.5k
- Molecular Biology 2.8k
Countries citing papers authored by Daniel Ladant
This map shows the geographic impact of Daniel Ladant'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 Ladant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ladant more than expected).
Fields of papers citing papers by Daniel Ladant
This network shows the impact of papers produced by Daniel Ladant. 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 Ladant. The network helps show where Daniel Ladant may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ladant, 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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A bacterial two-hybrid system based on a reconstituted signal transduction pathway Hit paper breakdown → | 1998 | 1349 |
| 2 | 2005 | 394 | |
| 3 | 2001 | 294 | |
| 4 | 1988 | 279 | |
| 5 | 1999 | 238 | |
| 6 | 1995 | 149 | |
| 7 | Protein-protein interaction between Bacillus stearothermophilus tyrosyl-tRNA synthetase subdomains revealed by a bacterial two-hybrid system. | 2001 | 134 |
| 8 | 1988 | 132 | |
| 9 | 1994 | 132 | |
| 10 | 2000 | 131 | |
| 11 | 2008 | 130 | |
| 12 | 1995 | 115 | |
| 13 | 1990 | 112 | |
| 14 | 2003 | 112 | |
| 15 | 1986 | 102 | |
| 16 | 2015 | 100 | |
| 17 | 2012 | 99 | |
| 18 | 1989 | 95 | |
| 19 | 2007 | 95 | |
| 20 | 2006 | 93 |
About Daniel Ladant
Daniel Ladant is a scholar working on Microbiology, Immunology, Genetics, Molecular Biology and Endocrinology, having authored 146 papers that have together received 8k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (51 papers), Bacterial Genetics and Biotechnology (43 papers), Immunotherapy and Immune Responses (20 papers), Protein Structure and Dynamics (19 papers), Toxin Mechanisms and Immunotoxins (14 papers), Lipid Membrane Structure and Behavior (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Escherichia coli research studies (7 papers). The work is most often cited by research in Microbiology (2.2k citations), Endocrinology (710 citations), Genetics (2.6k citations), Immunology (1.5k citations) and Molecular Biology (2.8k citations). Daniel Ladant has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Agnès Ullmann, Gouzel Karimova, Josette Pidoux, Claude Leclerc, Peter Šebo, Alexandre Chenal, Nathalie Dautin, Jacques Bellalou, Catherine Fayolle and Philippe Glaser. Their work appears in journals such as Journal of Biological Chemistry, Toxins, Journal of Bacteriology, Biochemistry and Toxicon.
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.