Daša Lipovšek
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- Monoclonal and Polyclonal Antibodies Research 14
- Radiopharmaceutical Chemistry and Applications 2
- Molecular Biology top 10%
- Advanced Biosensing Techniques and Applications 4
- RNA and protein synthesis mechanisms 4
- Glycosylation and Glycoproteins Research 3
- Protein purification and stability 3
- Protein Structure and Dynamics 2
- Biotechnology top 5%
- Hepatology top 10%
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research 4
- Co-authors
- Andreas PlückthunAkiko KoideShohei KoideK. Dane WittrupScott A. RaybuckJoseph L. KimAnn D. KwongRichard W. Wagner
- Journals
- Protein Engineering Design and Selection (3 papers)Journal of Molecular Biology (3 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Daša Lipovšek
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 67
- Radiology, Nuclear Medicine and Imaging 829
- Molecular Biology 1.0k
- Biotechnology 112
- Hepatology 90
- Immunology and Allergy 68
Countries citing papers authored by Daša Lipovšek
This map shows the geographic impact of Daša Lipovšek'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 Daša Lipovšek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daša Lipovšek more than expected).
Fields of papers citing papers by Daša Lipovšek
This network shows the impact of papers produced by Daša Lipovšek. 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 Daša Lipovšek. The network helps show where Daša Lipovšek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daša Lipovšek, 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 | 2024 | 6 | |
| 2 | 2021 | 27 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 7 | |
| 5 | 2020 | 11 | |
| 6 | 2018 | 2 | |
| 7 | 2018 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2012 | 72 | |
| 10 | 2011 | 47 | |
| 11 | 2010 | 196 | |
| 12 | 2009 | 26 | |
| 13 | 2007 | 75 | |
| 14 | 2007 | 77 | |
| 15 | 2005 | 57 | |
| 16 | 2004 | 258 | |
| 17 | 2003 | 5 | |
| 18 | 2002 | 176 | |
| 19 | 2002 | 52 | |
| 20 | 1998 | 102 |
About Daša Lipovšek
Daša Lipovšek is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Molecular Biology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Advanced Biosensing Techniques and Applications (4 papers), Cell Adhesion Molecules Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein purification and stability (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (829 citations), Molecular Biology (1.0k citations) and Biotechnology (112 citations). Daša Lipovšek has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Andreas Plückthun, Akiko Koide, Shohei Koide, K. Dane Wittrup, Scott A. Raybuck, Joseph L. Kim, Ann D. Kwong, Richard W. Wagner, Shaun M. Lippow and Lin Sun. Their work appears in journals such as Protein Engineering Design and Selection, Journal of Molecular Biology, Journal of the American Chemical Society, Journal of the American Society for Mass Spectrometry and Infection and Immunity.
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.