Denise Salzig
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Virus-based gene therapy research
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in ⓘ
-
- Viral Infectious Diseases and Gene Expression in Insects 19
- Genetics 18
- Virus-based gene therapy research 14
- Mesenchymal stem cell research 12
- Co-authors
- Peter Czermak (50 shared papers)Tobias Weidner (15 shared papers)Tanja A. Grein (11 shared papers)Hauke Dieken (8 shared papers)Matthias Kraume (4 shared papers)Bernd Giebel (2 shared papers)Tobias Tertel (2 shared papers)Verena Börger (1 shared paper)
- Journals
- Engineering in Life Sciences (3 papers)Process Biochemistry (3 papers)Chemie Ingenieur Technik (3 papers)Membranes (2 papers)New Biotechnology (2 papers)
- Partner nations
- GermanyUnited StatesSaudi Arabia
In The Last Decade
Denise Salzig
56 papers receiving 930 citations
Peers
Comparison fields: 5 of 99
- Genetics 197
- Microbiology 91
- Biomaterials 100
- Biotechnology 66
- Molecular Biology 515
Countries citing papers authored by Denise Salzig
This map shows the geographic impact of Denise Salzig'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 Denise Salzig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise Salzig more than expected).
Fields of papers citing papers by Denise Salzig
This network shows the impact of papers produced by Denise Salzig. 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 Denise Salzig. The network helps show where Denise Salzig may publish in the future.
Co-authors
The 25 scholars most cited alongside Denise Salzig, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 91 | |
| 2 | 2016 | 51 | |
| 3 | 2016 | 47 | |
| 4 | 2017 | 47 | |
| 5 | 2016 | 45 | |
| 6 | 2012 | 43 | |
| 7 | 2017 | 35 | |
| 8 | 2015 | 35 | |
| 9 | 2012 | 35 | |
| 10 | 2014 | 33 | |
| 11 | 2019 | 31 | |
| 12 | 2018 | 26 | |
| 13 | 2014 | 23 | |
| 14 | 2019 | 23 | |
| 15 | 2013 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2017 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2017 | 21 | |
| 20 | 2018 | 16 |
About Denise Salzig
Denise Salzig is a scholar working on Molecular Biology, Genetics, Genetics, Surgery and Biomedical Engineering, having authored 58 papers that have together received 948 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (19 papers), Virus-based gene therapy research (14 papers), Mesenchymal stem cell research (12 papers), 3D Printing in Biomedical Research (8 papers), Virology and Viral Diseases (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Genetics (197 citations), Microbiology (91 citations), Biomaterials (100 citations), Biotechnology (66 citations) and Molecular Biology (515 citations). Denise Salzig has collaborated with scholars based in Germany, United States and Saudi Arabia. Frequent co-authors include Peter Czermak, Tobias Weidner, Tanja A. Grein, Hauke Dieken, Matthias Kraume, Bernd Giebel, Tobias Tertel, Verena Börger, Oumaima Stambouli and Simon Staubach. Their work appears in journals such as Engineering in Life Sciences, Process Biochemistry, Chemie Ingenieur Technik, Membranes and New Biotechnology.
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.