Maria Hoffmann
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Food Science 32
- Salmonella and Campylobacter epidemiology 31
- Ecology 23
- Bacteriophages and microbial interactions 23
- Co-authors
- Eric W. Brown (22 shared papers)Marc W. Allard (22 shared papers)Shaohua Zhao (9 shared papers)Patrick F. McDermott (9 shared papers)Yan Luo (9 shared papers)Narjol González‐Escalona (5 shared papers)Tim Muruvanda (10 shared papers)Jie Zheng (9 shared papers)
- Journals
- Frontiers in Microbiology (5 papers)PLoS ONE (3 papers)Genome Biology and Evolution (3 papers)BMC Genomics (2 papers)Journal of Bacteriology (1 paper)
- Partner nations
- United StatesSaudi ArabiaGermany
In The Last Decade
Maria Hoffmann
38 papers receiving 672 citations
Peers
Comparison fields: 5 of 60
- Endocrinology 190
- Molecular Medicine 160
- Food Science 436
- Biotechnology 144
- Ecology 217
Countries citing papers authored by Maria Hoffmann
This map shows the geographic impact of Maria Hoffmann'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 Maria Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Hoffmann more than expected).
Fields of papers citing papers by Maria Hoffmann
This network shows the impact of papers produced by Maria Hoffmann. 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 Maria Hoffmann. The network helps show where Maria Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Hoffmann, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 112 | |
| 2 | 2014 | 90 | |
| 3 | 2013 | 64 | |
| 4 | 2019 | 54 | |
| 5 | 2019 | 36 | |
| 6 | 2017 | 32 | |
| 7 | 2012 | 28 | |
| 8 | 2017 | 22 | |
| 9 | 2017 | 20 | |
| 10 | 2024 | 20 | |
| 11 | 2015 | 17 | |
| 12 | 2013 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2024 | 12 | |
| 17 | 2015 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2019 | 9 |
About Maria Hoffmann
Maria Hoffmann is a scholar working on Food Science, Ecology, Molecular Biology, Biotechnology and Endocrinology, having authored 39 papers that have together received 679 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (31 papers), Bacteriophages and microbial interactions (23 papers), Listeria monocytogenes in Food Safety (14 papers), Genomics and Phylogenetic Studies (9 papers), Vibrio bacteria research studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Identification and Quantification in Food (5 papers) and Plant Pathogenic Bacteria Studies (4 papers). The work is most often cited by research in Endocrinology (190 citations), Molecular Medicine (160 citations), Food Science (436 citations), Biotechnology (144 citations) and Ecology (217 citations). Maria Hoffmann has collaborated with scholars based in United States, Saudi Arabia and Germany. Frequent co-authors include Eric W. Brown, Marc W. Allard, Shaohua Zhao, Patrick F. McDermott, Yan Luo, Narjol González‐Escalona, Tim Muruvanda, Jie Zheng, James Pettengill and Shashi Sharma. Their work appears in journals such as Frontiers in Microbiology, PLoS ONE, Genome Biology and Evolution, BMC Genomics and Journal of Bacteriology.
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.