Stefan Wildt
Impact in
- Biotechnology top 1%
- Transgenic Plants and Applications
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- Fungal and yeast genetics research
- Viral Infectious Diseases and Gene Expression in Insects
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Transgenic Plants and Applications 2
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- Glycosylation and Glycoproteins Research 11
- Fungal and yeast genetics research 4
- Co-authors
- Juergen H. NettRobert C. DavidsonPiotr BobrowiczHuijuan LiStephen R. HamiltonTillman U. GerngrossTerrance A. StadheimTeresa Mitchell
- Journals
- Yeast (2 papers)Science (2 papers)Biotechnology and Bioengineering (1 paper)Nature Biotechnology (1 paper)Glycobiology (1 paper)
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Stefan Wildt
16 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 83
- Biotechnology 420
- Molecular Biology 1.4k
- Radiology, Nuclear Medicine and Imaging 357
- Organic Chemistry 232
- Immunology 171
Countries citing papers authored by Stefan Wildt
This map shows the geographic impact of Stefan Wildt'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 Stefan Wildt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Wildt more than expected).
Fields of papers citing papers by Stefan Wildt
This network shows the impact of papers produced by Stefan Wildt. 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 Stefan Wildt. The network helps show where Stefan Wildt may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Wildt, 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 | 2022 | 12 | |
| 2 | 2013 | 34 | |
| 3 | 2011 | 15 | |
| 4 | 2010 | 30 | |
| 5 | 2008 | 61 | |
| 6 | 2008 | 74 | |
| 7 | 2007 | 39 | |
| 8 | 2006 | 356 | |
| 9 | 2005 | 29 | |
| 10 | 2005 | 256 | |
| 11 | 2005 | 12 | |
| 12 | 2003 | 292 | |
| 13 | 2003 | 275 | |
| 14 | 2002 | 13 | |
| 15 | 1999 | 36 | |
| 16 | 1996 | 42 |
About Stefan Wildt
Stefan Wildt is a scholar working on Biotechnology, Molecular Biology, Infectious Diseases, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Carbohydrate Chemistry and Synthesis (4 papers), Fungal and yeast genetics research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Galectins and Cancer Biology (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Transgenic Plants and Applications (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Biotechnology (420 citations), Molecular Biology (1.4k citations), Radiology, Nuclear Medicine and Imaging (357 citations), Organic Chemistry (232 citations) and Immunology (171 citations). Stefan Wildt has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Juergen H. Nett, Robert C. Davidson, Piotr Bobrowicz, Huijuan Li, Stephen R. Hamilton, Tillman U. Gerngross, Terrance A. Stadheim, Teresa Mitchell, Harry Wischnewski and Byung‐Kwon Choi. Their work appears in journals such as Yeast, Science, Biotechnology and Bioengineering, Nature Biotechnology and Glycobiology.
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.