Daniela Hofmann
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Parasitology top 5%
- Parasites and Host Interactions
Papers in
- Parasitology 10
- Parasites and Host Interactions 10
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- Helminth infection and control 4
- Co-authors
- Jennifer Keiser (11 shared papers)Gerhard Wider (4 shared papers)R. J. Kern (2 shared papers)K. Wallenfels (3 shared papers)Andreas Essig (1 shared paper)Hans‐Georg Sahl (1 shared paper)Tanja Schneider (1 shared paper)Markus Aebi (1 shared paper)
- Journals
- Tetrahedron (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)The Lancet Infectious Diseases (2 papers)Journal of Chromatography B (1 paper)ACS Infectious Diseases (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Daniela Hofmann
22 papers receiving 479 citations
Peers
Comparison fields: 5 of 79
- Microbiology 76
- Parasitology 78
- Small Animals 37
- Public Health, Environmental and Occupational Health 106
- Infectious Diseases 70
Countries citing papers authored by Daniela Hofmann
This map shows the geographic impact of Daniela Hofmann'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 Daniela Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Hofmann more than expected).
Fields of papers citing papers by Daniela Hofmann
This network shows the impact of papers produced by Daniela Hofmann. 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 Daniela Hofmann. The network helps show where Daniela Hofmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Hofmann, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 134 | |
| 2 | 2014 | 127 | |
| 3 | 1965 | 42 | |
| 4 | 2021 | 27 | |
| 5 | 2015 | 22 | |
| 6 | 2014 | 21 | |
| 7 | 2023 | 17 | |
| 8 | 1965 | 13 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2023 | 7 | |
| 13 | 2011 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 1999 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 1964 | 2 |
About Daniela Hofmann
Daniela Hofmann is a scholar working on Parasitology, Small Animals, Molecular Biology, Ecology and Organic Chemistry, having authored 22 papers that have together received 482 indexed citations. Recurring topics across this work include Parasites and Host Interactions (10 papers), Helminth infection and control (4 papers), Parasite Biology and Host Interactions (4 papers), Synthesis of heterocyclic compounds (2 papers), Chemical Synthesis and Reactions (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Atomic and Subatomic Physics Research (1 paper) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Microbiology (76 citations), Parasitology (78 citations), Small Animals (37 citations), Public Health, Environmental and Occupational Health (106 citations) and Infectious Diseases (70 citations). Daniela Hofmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Jennifer Keiser, Gerhard Wider, R. J. Kern, K. Wallenfels, Andreas Essig, Hans‐Georg Sahl, Tanja Schneider, Markus Aebi, Markus Künzler and Daniela Münch. Their work appears in journals such as Tetrahedron, Antimicrobial Agents and Chemotherapy, The Lancet Infectious Diseases, Journal of Chromatography B and ACS Infectious Diseases.
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.