Maximilian Brackmann
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Genetics 5
- Bacterial Genetics and Biotechnology 4
-
- Vibrio bacteria research studies 4
- Escherichia coli research studies 4
- Co-authors
- Marek Basler (5 shared papers)Henning Stahlberg (3 shared papers)Jing Wang (3 shared papers)Sergey Nazarov (2 shared papers)Timm Maier (2 shared papers)Mikhail Kudryashev (2 shared papers)Kenneth N. Goldie (2 shared papers)David Baker (1 shared paper)
- Journals
- Nature Medicine (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)Nature Microbiology (1 paper)EMBO Reports (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Maximilian Brackmann
10 papers receiving 633 citations
Maximilian Brackmann's Hit Papers
Peers
Comparison fields: 5 of 78
- Endocrinology 364
- Molecular Medicine 142
- Structural Biology 25
- Clinical Biochemistry 83
- Genetics 179
Countries citing papers authored by Maximilian Brackmann
This map shows the geographic impact of Maximilian Brackmann'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 Maximilian Brackmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Brackmann more than expected).
Fields of papers citing papers by Maximilian Brackmann
This network shows the impact of papers produced by Maximilian Brackmann. 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 Maximilian Brackmann. The network helps show where Maximilian Brackmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Maximilian Brackmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Structure of the Type VI Secretion System Contractile Sheath Hit paper breakdown → | 2015 | 190 |
| 2 | Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning Hit paper breakdown → | 2022 | 156 |
| 3 | 2017 | 103 | |
| 4 | 2017 | 79 | |
| 5 | 2017 | 71 | |
| 6 | 2017 | 28 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 1 |
About Maximilian Brackmann
Maximilian Brackmann is a scholar working on Genetics, Endocrinology, Infectious Diseases, Molecular Biology and Ecology, having authored 10 papers that have together received 639 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (4 papers), Escherichia coli research studies (4 papers), Bacterial Genetics and Biotechnology (4 papers), Antibiotic Resistance in Bacteria (2 papers), Bacteriophages and microbial interactions (2 papers), Bacterial Identification and Susceptibility Testing (1 paper), Poxvirus research and outbreaks (1 paper) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Endocrinology (364 citations), Molecular Medicine (142 citations), Structural Biology (25 citations), Clinical Biochemistry (83 citations) and Genetics (179 citations). Maximilian Brackmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Marek Basler, Henning Stahlberg, Jing Wang, Sergey Nazarov, Timm Maier, Mikhail Kudryashev, Kenneth N. Goldie, David Baker, Edward H. Egelman and Sebastian Scherer. Their work appears in journals such as Nature Medicine, Frontiers in Cellular and Infection Microbiology, Nature Microbiology, EMBO Reports and Analytical 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.