David Urech
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Ocular Diseases and Behçet’s Syndrome
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Monoclonal and Polyclonal Antibodies Research 7
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- Protein purification and stability 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Peter Lichtlen (6 shared papers)Ulrich Feige (3 shared papers)Esther Furrer (2 shared papers)Michael Thiel (1 shared paper)Tim T. Lam (1 shared paper)T. Michael Nork (1 shared paper)Alcide Barberis (1 shared paper)John P.A. Grimshaw (2 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (3 papers)mAbs (2 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)Journal of Neuroimmunology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
David Urech
14 papers receiving 379 citations
Peers
Comparison fields: 5 of 66
- Ophthalmology 120
- Radiology, Nuclear Medicine and Imaging 137
- Rheumatology 60
- Pharmaceutical Science 22
- Sensory Systems 15
Countries citing papers authored by David Urech
This map shows the geographic impact of David Urech'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 David Urech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Urech more than expected).
Fields of papers citing papers by David Urech
This network shows the impact of papers produced by David Urech. 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 David Urech. The network helps show where David Urech may publish in the future.
Co-authors
The 25 scholars most cited alongside David Urech, 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 | 2009 | 72 | |
| 2 | 2010 | 60 | |
| 3 | 2009 | 57 | |
| 4 | 2009 | 51 | |
| 5 | 2010 | 50 | |
| 6 | 2009 | 29 | |
| 7 | 2003 | 26 | |
| 8 | 2016 | 16 | |
| 9 | 2016 | 13 | |
| 10 | 2015 | 11 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2019 | 1 | |
| 14 | 2019 | 1 |
About David Urech
David Urech is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology, Ophthalmology and Genetics, having authored 14 papers that have together received 395 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Glycosylation and Glycoproteins Research (2 papers), Retinal Diseases and Treatments (2 papers), HER2/EGFR in Cancer Research (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Ophthalmology (120 citations), Radiology, Nuclear Medicine and Imaging (137 citations), Rheumatology (60 citations), Pharmaceutical Science (22 citations) and Sensory Systems (15 citations). David Urech has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Peter Lichtlen, Ulrich Feige, Esther Furrer, Michael Thiel, Tim T. Lam, T. Michael Nork, Alcide Barberis, John P.A. Grimshaw, Robert Gurny and Ulrich Bauer. Their work appears in journals such as Investigative Ophthalmology & Visual Science, mAbs, Biochimica et Biophysica Acta (BBA) - General Subjects, Journal of Neuroimmunology and Journal of Biological Chemistry.
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.