A Ullmann
Impact in
- Microbiology top 0.5%
- Bacterial Infections and Vaccines
- Endocrinology top 1%
- Escherichia coli research studies
Papers in
-
- RNA and protein synthesis mechanisms 9
- Microbial Metabolic Engineering and Bioproduction 5
- Enzyme Catalysis and Immobilization 4
- Genetics 21
- Bacterial Genetics and Biotechnology 20
- Co-authors
- Daniel Ladant (12 shared papers)Antoine Danchin (10 shared papers)Philippe Glaser (4 shared papers)Jacques Bellalou (4 shared papers)Hiroshi Sakamoto (2 shared papers)Jacques Monod (6 shared papers)Gouzel Karimova (4 shared papers)Peter Šebo (4 shared papers)
In The Last Decade
A Ullmann
45 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 88
- Microbiology 748
- Endocrinology 516
- Genetics 947
- Molecular Biology 1.4k
- Molecular Medicine 87
Countries citing papers authored by A Ullmann
This map shows the geographic impact of A 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 A Ullmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Ullmann more than expected).
Fields of papers citing papers by A Ullmann
This network shows the impact of papers produced by A 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 A Ullmann. The network helps show where A Ullmann may publish in the future.
Co-authors
The 25 scholars most cited alongside A 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 378 | |
| 2 | 1988 | 279 | |
| 3 | Protein-protein interaction between Bacillus stearothermophilus tyrosyl-tRNA synthetase subdomains revealed by a bacterial two-hybrid system. | 2001 | 134 |
| 4 | 1994 | 130 | |
| 5 | 1990 | 113 | |
| 6 | 1968 | 94 | |
| 7 | 1996 | 89 | |
| 8 | 1965 | 89 | |
| 9 | 1997 | 85 | |
| 10 | 1979 | 84 | |
| 11 | 1998 | 74 | |
| 12 | 1990 | 66 | |
| 13 | 1992 | 62 | |
| 14 | 1996 | 55 | |
| 15 | 1976 | 53 | |
| 16 | 1980 | 48 | |
| 17 | 1964 | 46 | |
| 18 | 1995 | 44 | |
| 19 | 1971 | 35 | |
| 20 | 1978 | 32 |
About A Ullmann
A Ullmann is a scholar working on Molecular Biology, Genetics, Microbiology, Materials Chemistry and Endocrinology, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (20 papers), Bacterial Infections and Vaccines (15 papers), RNA and protein synthesis mechanisms (9 papers), Enzyme Structure and Function (8 papers), Escherichia coli research studies (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Enzyme Catalysis and Immobilization (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Microbiology (748 citations), Endocrinology (516 citations), Genetics (947 citations), Molecular Biology (1.4k citations) and Molecular Medicine (87 citations). A Ullmann has collaborated with scholars based in France, Germany and Hungary. Frequent co-authors include Daniel Ladant, Antoine Danchin, Philippe Glaser, Jacques Bellalou, Hiroshi Sakamoto, Jacques Monod, Gouzel Karimova, Peter Šebo, F Jacob and Claude Leclerc. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, The EMBO Journal and Infection and Immunity.
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.