Els Pardon
- Cellular and Molecular Neuroscience top 0.2%
- Neuropeptides and Animal Physiology 10
- Molecular Biology top 0.5%
- Glycosylation and Glycoproteins Research 28
- RNA and protein synthesis mechanisms 24
- Receptor Mechanisms and Signaling 20
- Protein Structure and Dynamics 16
- Structural Biology top 1%
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- Monoclonal and Polyclonal Antibodies Research 45
- Physiology top 1%
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- Enzyme Structure and Function 11
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- Bacterial Genetics and Biotechnology 11
- Co-authors
- Jan SteyaertBrian K. KobilkaSøren G. F. RasmussenWilliam I. WeisRoger K. SunaharaBrian T. DeVreePil Seok ChaeFoon Sun Thian
- Journals
- Nature Communications (14 papers)Nature (13 papers)Proceedings of the National Academy of Sciences (13 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Els Pardon
132 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Cellular and Molecular Neuroscience 3.7k
- Molecular Biology 9.8k
- Structural Biology 177
- Radiology, Nuclear Medicine and Imaging 2.7k
- Physiology 216
Countries citing papers authored by Els Pardon
This map shows the geographic impact of Els Pardon'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 Els Pardon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Els Pardon more than expected).
Fields of papers citing papers by Els Pardon
This network shows the impact of papers produced by Els Pardon. 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 Els Pardon. The network helps show where Els Pardon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Els Pardon, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 95 | |
| 7 | 2022 | 20 | |
| 8 | 2021 | 58 | |
| 9 | 2021 | 32 | |
| 10 | 2021 | 36 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 17 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 44 | |
| 16 | 2019 | 79 | |
| 17 | 2019 | 44 | |
| 18 | 2018 | 30 | |
| 19 | 2017 | 137 | |
| 20 | 2015 | 19 |
About Els Pardon
Els Pardon is a scholar working on Structural Biology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Endocrinology and Physiology, having authored 137 papers that have together received 12.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (45 papers), Glycosylation and Glycoproteins Research (28 papers), RNA and protein synthesis mechanisms (24 papers), Receptor Mechanisms and Signaling (20 papers), Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (11 papers), Bacterial Genetics and Biotechnology (11 papers) and Neuropeptides and Animal Physiology (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.7k citations), Molecular Biology (9.8k citations), Structural Biology (177 citations), Radiology, Nuclear Medicine and Imaging (2.7k citations) and Physiology (216 citations). Els Pardon has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Jan Steyaert, Brian K. Kobilka, Søren G. F. Rasmussen, William I. Weis, Roger K. Sunahara, Brian T. DeVree, Pil Seok Chae, Foon Sun Thian, Samuel H. Gellman and Tong Sun Kobilka. Their work appears in journals such as Nature Communications, Nature, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Structural & Molecular Biology.
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.