Steven W. de Taeye
- Immunology top 5%
- Molecular Biology
- Virology top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Infectious Diseases top 5%
- Co-authors
- Gestur VidarssonTheo RispensRogier W. SandersJohn P. MooreManfred WuhrerDavid FalckThomas SénardGovert W. Somsen
- Topics
- Monoclonal and Polyclonal Antibodies Research (27 papers)HIV Research and Treatment (21 papers)Glycosylation and Glycoproteins Research (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Steven W. de Taeye
41 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 679
- Molecular Biology 638
- Virology 585
- Radiology, Nuclear Medicine and Imaging 546
- Infectious Diseases 356
Countries citing papers authored by Steven W. de Taeye
This map shows the geographic impact of Steven W. de Taeye'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 Steven W. de Taeye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven W. de Taeye more than expected).
Fields of papers citing papers by Steven W. de Taeye
This network shows the impact of papers produced by Steven W. de Taeye. 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 Steven W. de Taeye. The network helps show where Steven W. de Taeye may publish in the future.
Co-authorship network of co-authors of Steven W. de Taeye
This figure shows the co-authorship network connecting the top 25 collaborators of Steven W. de Taeye. A scholar is included among the top collaborators of Steven W. de Taeye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven W. de Taeye. Steven W. de Taeye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | 16 | |
| 12 | 11 | |
| 13 | 36 | |
| 14 | 124 | |
| 15 | 116 | |
| 16 | 26 | |
| 17 | 49 | |
| 18 | 72 | |
| 19 | 49 | |
| 20 | 84 |
About Steven W. de Taeye
Steven W. de Taeye is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (27 papers), HIV Research and Treatment (21 papers) and Glycosylation and Glycoproteins Research (13 papers). The work is most often cited by research in Virology (585 citations), Immunology (679 citations) and Radiology, Nuclear Medicine and Imaging (546 citations). Steven W. de Taeye has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Gestur Vidarsson, Theo Rispens, Rogier W. Sanders, John P. Moore, Manfred Wuhrer, David Falck, Thomas Sénard, Govert W. Somsen, Andrea Gargano and Elena Domínguez‐Vega. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.