Dietmar Hoffmann
Impact in
- Pharmacology top 1%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
- Biotechnology top 5%
- Marine Sponges and Natural Products
Papers in
-
- Microbial Natural Products and Biosynthesis 4
-
- Glycosylation and Glycoproteins Research 3
- Plant biochemistry and biosynthesis 3
- Protein purification and stability 2
- Co-authors
- Heinz G. Floss (3 shared papers)Tin‐Wein Yu (2 shared papers)Richard E. Moore (2 shared papers)Joan M. Hevel (2 shared papers)Eckhard W. Leistner (2 shared papers)Linquan Bai (1 shared paper)Xiaohong Zhang (1 shared paper)C. Richard Hutchinson (1 shared paper)
- Journals
- mAbs (2 papers)PLoS ONE (2 papers)Acta Neuropathologica (1 paper)New England Journal of Medicine (1 paper)Gene (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Dietmar Hoffmann
18 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Pharmacology 537
- Biotechnology 155
- Molecular Biology 592
- Toxicology 28
- Developmental Neuroscience 31
Countries citing papers authored by Dietmar Hoffmann
This map shows the geographic impact of Dietmar 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 Dietmar Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dietmar Hoffmann more than expected).
Fields of papers citing papers by Dietmar Hoffmann
This network shows the impact of papers produced by Dietmar 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 Dietmar Hoffmann. The network helps show where Dietmar Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Dietmar 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
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 306 | |
| 2 | 2002 | 257 | |
| 3 | 2017 | 130 | |
| 4 | 2003 | 100 | |
| 5 | 2002 | 69 | |
| 6 | 1999 | 58 | |
| 7 | 2003 | 37 | |
| 8 | 2017 | 27 | |
| 9 | 2008 | 20 | |
| 10 | 2021 | 18 | |
| 11 | 2018 | 16 | |
| 12 | 1975 | 14 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2025 | 0 |
About Dietmar Hoffmann
Dietmar Hoffmann is a scholar working on Pharmacology, Molecular Biology, Modeling and Simulation, Renewable Energy, Sustainability and the Environment and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (4 papers), Glycosylation and Glycoproteins Research (3 papers), Plant biochemistry and biosynthesis (3 papers), Algal biology and biofuel production (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), COVID-19 epidemiological studies (2 papers), Protein purification and stability (2 papers) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Pharmacology (537 citations), Biotechnology (155 citations), Molecular Biology (592 citations), Toxicology (28 citations) and Developmental Neuroscience (31 citations). Dietmar Hoffmann has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Heinz G. Floss, Tin‐Wein Yu, Richard E. Moore, Joan M. Hevel, Eckhard W. Leistner, Linquan Bai, Xiaohong Zhang, C. Richard Hutchinson, Yeo Joon Yoon and Junhui Xu. Their work appears in journals such as mAbs, PLoS ONE, Acta Neuropathologica, New England Journal of Medicine and Gene.
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.