Anna‐Barbara Hachmann
- Molecular Biology
- Genetics top 5%
- Ecology top 10%
- Infectious Diseases
- Molecular Medicine top 5%
- Co-authors
- John D. HelmannEsther R. AngertThorsten MascherJason M. PetersJeremiah D. FarelliIlan WapinskiAthanasios TypasHarvey H. Kimsey
- Topics
- Bacterial Genetics and Biotechnology (4 papers)Virus-based gene therapy research (3 papers)Bacteriophages and microbial interactions (3 papers)
- Journals
- Applied and Environmental MicrobiologyJournal of BacteriologyAntimicrobial Agents and Chemotherapy
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Anna‐Barbara Hachmann
10 papers receiving 891 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Molecular Biology 660
- Genetics 415
- Ecology 259
- Infectious Diseases 114
- Molecular Medicine 104
Countries citing papers authored by Anna‐Barbara Hachmann
This map shows the geographic impact of Anna‐Barbara Hachmann'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 Anna‐Barbara Hachmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna‐Barbara Hachmann more than expected).
Fields of papers citing papers by Anna‐Barbara Hachmann
This network shows the impact of papers produced by Anna‐Barbara Hachmann. 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 Anna‐Barbara Hachmann. The network helps show where Anna‐Barbara Hachmann may publish in the future.
Co-authorship network of co-authors of Anna‐Barbara Hachmann
This figure shows the co-authorship network connecting the top 25 collaborators of Anna‐Barbara Hachmann. A scholar is included among the top collaborators of Anna‐Barbara Hachmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna‐Barbara Hachmann. Anna‐Barbara Hachmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | Reducing risks with a serum-free medium for MRC-5 based vaccine production | 1 |
| 4 | Construction and Analysis of Two Genome-Scale Deletion Libraries for Bacillus subtilisbreakdown → | 414 |
| 5 | 75 | |
| 6 | 109 | |
| 7 | 31 | |
| 8 | 137 | |
| 9 | 12 | |
| 10 | 102 |
About Anna‐Barbara Hachmann
Anna‐Barbara Hachmann is a scholar working on Genetics, Animal Science and Zoology and Infectious Diseases, having authored 10 papers that have together received 897 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Virus-based gene therapy research (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Molecular Medicine (104 citations), Microbiology (97 citations) and Genetics (415 citations). Anna‐Barbara Hachmann has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John D. Helmann, Esther R. Angert, Thorsten Mascher, Jason M. Peters, Jeremiah D. Farelli, Ilan Wapinski, Athanasios Typas, Harvey H. Kimsey, Karen N. Allen and Horia Todor. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Bacteriology and Antimicrobial Agents and Chemotherapy.
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.