Agnès Ullmann
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Microbiology top 0.5%
- Bacterial Infections and Vaccines
Papers in
- Genetics 33
- Bacterial Genetics and Biotechnology 30
-
- Escherichia coli research studies 12
- Co-authors
- Daniel Ladant (12 shared papers)Gouzel Karimova (10 shared papers)Josette Pidoux (3 shared papers)Jacques Monod (11 shared papers)François Jacob (3 shared papers)David M. Perrin (2 shared papers)Peter Šebo (4 shared papers)Antoine Danchin (9 shared papers)
- Journals
- Molecular Microbiology (6 papers)Research in Microbiology (5 papers)Biochimie (5 papers)Biochemical and Biophysical Research Communications (4 papers)Journal of Molecular Biology (4 papers)
- Partner nations
- FranceIndiaUnited States
In The Last Decade
Agnès Ullmann
69 papers receiving 3.9k citations
Agnès Ullmann's Hit Papers
Peers
Comparison fields: 5 of 109
- Endocrinology 580
- Microbiology 512
- Genetics 1.7k
- Molecular Biology 2.9k
- Molecular Medicine 176
Countries citing papers authored by Agnès Ullmann
This map shows the geographic impact of Agnès Ullmann'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 Agnès Ullmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agnès Ullmann more than expected).
Fields of papers citing papers by Agnès Ullmann
This network shows the impact of papers produced by Agnès Ullmann. 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 Agnès Ullmann. The network helps show where Agnès Ullmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Agnès Ullmann, 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 74 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 | 1334 |
| 2 | 1967 | 270 | |
| 3 | 1984 | 242 | |
| 4 | 1999 | 239 | |
| 5 | 1968 | 163 | |
| 6 | 1968 | 151 | |
| 7 | 2000 | 131 | |
| 8 | 1998 | 108 | |
| 9 | 1965 | 94 | |
| 10 | 1995 | 87 | |
| 11 | 1991 | 87 | |
| 12 | 1959 | 74 | |
| 13 | 1999 | 72 | |
| 14 | 1988 | 72 | |
| 15 | 1995 | 65 | |
| 16 | 1982 | 65 | |
| 17 | 1978 | 63 | |
| 18 | 1999 | 62 | |
| 19 | 2000 | 48 | |
| 20 | 1993 | 47 |
About Agnès Ullmann
Agnès Ullmann is a scholar working on Genetics, Endocrinology, Microbiology, Molecular Biology and Biotechnology, having authored 74 papers that have together received 4.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (30 papers), RNA and protein synthesis mechanisms (20 papers), Escherichia coli research studies (12 papers), Bacterial Infections and Vaccines (12 papers), Enzyme Structure and Function (10 papers), Bacillus and Francisella bacterial research (5 papers), Biochemical and Molecular Research (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Endocrinology (580 citations), Microbiology (512 citations), Genetics (1.7k citations), Molecular Biology (2.9k citations) and Molecular Medicine (176 citations). Agnès Ullmann has collaborated with scholars based in France, India and United States. Frequent co-authors include Daniel Ladant, Gouzel Karimova, Josette Pidoux, Jacques Monod, François Jacob, David M. Perrin, Peter Šebo, Antoine Danchin, Thomas Erdos and Michèle Mock. Their work appears in journals such as Molecular Microbiology, Research in Microbiology, Biochimie, Biochemical and Biophysical Research Communications and Journal of Molecular Biology.
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.