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
- Pluripotent Stem Cells Research 5
- Genetics 18
- Virus-based gene therapy research 14
- Mesenchymal stem cell research 11
- Co-authors
- Peter Czermak (50 shared papers)Tobias Weidner (15 shared papers)Jasmin Leber (7 shared papers)Tanja A. Grein (11 shared papers)Hauke Dieken (8 shared papers)Bernd Giebel (2 shared papers)Matthias Kraume (4 shared papers)Tobias Tertel (2 shared papers)
- Journals
- Engineering in Life Sciences (3 papers)Process Biochemistry (3 papers)Chemie Ingenieur Technik (3 papers)Membranes (2 papers)Journal of Biotechnology (2 papers)
- Partner nations
- GermanyUnited StatesSaudi Arabia
In The Last Decade
Denise Salzig
57 papers receiving 963 citations
Peers
Comparison fields: 5 of 97
- Genetics 186
- Microbiology 94
- Molecular Biology 511
- Biotechnology 65
- Biomaterials 97
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 97 | |
| 2 | 2016 | 51 | |
| 3 | 2016 | 48 | |
| 4 | 2017 | 48 | |
| 5 | 2016 | 45 | |
| 6 | 2012 | 43 | |
| 7 | 2017 | 39 | |
| 8 | 2015 | 35 | |
| 9 | 2014 | 34 | |
| 10 | 2019 | 34 | |
| 11 | 2012 | 34 | |
| 12 | 2018 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2016 | 24 | |
| 15 | 2014 | 23 | |
| 16 | 2017 | 23 | |
| 17 | 2013 | 22 | |
| 18 | 2019 | 22 | |
| 19 | 2017 | 22 | |
| 20 | 2018 | 17 |
About Denise Salzig
Denise Salzig is a scholar working on Molecular Biology, Genetics, Genetics, Surgery and Biomedical Engineering, having authored 60 papers that have together received 981 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 (11 papers), 3D Printing in Biomedical Research (8 papers), Virology and Viral Diseases (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Pancreatic function and diabetes (5 papers) and Pluripotent Stem Cells Research (5 papers). The work is most often cited by research in Genetics (186 citations), Microbiology (94 citations), Molecular Biology (511 citations), Biotechnology (65 citations) and Biomaterials (97 citations). Denise Salzig has collaborated with scholars based in Germany, United States and Saudi Arabia. Frequent co-authors include Peter Czermak, Tobias Weidner, Jasmin Leber, Tanja A. Grein, Hauke Dieken, Bernd Giebel, Matthias Kraume, Tobias Tertel, Simon Staubach and Oumaima Stambouli. Their work appears in journals such as Engineering in Life Sciences, Process Biochemistry, Chemie Ingenieur Technik, Membranes and Journal of 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.