Simon Nadal
Impact in
- Pharmaceutical Science top 10%
- Fluorine in Organic Chemistry
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- Click Chemistry and Applications
- Radical Photochemical Reactions
- Sulfur-Based Synthesis Techniques
- Catalytic C–H Functionalization Methods
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Signaling Pathways in Disease 1
- Protein Degradation and Inhibitors 1
- RNA and protein synthesis mechanisms 1
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Benjamin G. Davis (2 shared papers)Shabaz Mohammed (2 shared papers)Ritu Raj (1 shared paper)Andrew J. Baldwin (1 shared paper)Oluwatobi Arisa (1 shared paper)Andrew M. Giltrap (1 shared paper)Brian Josephson (1 shared paper)Patrick G. Isenegger (1 shared paper)
- Journals
- Blood (1 paper)Nature (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Current Opinion in Chemical Biology (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- NetherlandsUnited KingdomFrance
In The Last Decade
Simon Nadal
5 papers receiving 205 citations
Peers
Comparison fields: 5 of 35
- Pharmaceutical Science 32
- Organic Chemistry 124
- Molecular Biology 141
- Oncology 23
- Microbiology 5
Countries citing papers authored by Simon Nadal
This map shows the geographic impact of Simon Nadal'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 Simon Nadal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Nadal more than expected).
Fields of papers citing papers by Simon Nadal
This network shows the impact of papers produced by Simon Nadal. 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 Simon Nadal. The network helps show where Simon Nadal may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Nadal, 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 | 2020 | 137 | |
| 2 | 2018 | 51 | |
| 3 | 2020 | 14 | |
| 4 | 2024 | 6 | |
| 5 | 2022 | 2 |
About Simon Nadal
Simon Nadal is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hematology, Organic Chemistry and Computational Theory and Mathematics, having authored 5 papers that have together received 210 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Signaling Pathways in Disease (1 paper), Protein Degradation and Inhibitors (1 paper), Computational Drug Discovery Methods (1 paper), Malaria Research and Control (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Pharmaceutical Science (32 citations), Organic Chemistry (124 citations), Molecular Biology (141 citations), Oncology (23 citations) and Microbiology (5 citations). Simon Nadal has collaborated with scholars based in Netherlands, United Kingdom and France. Frequent co-authors include Benjamin G. Davis, Shabaz Mohammed, Ritu Raj, Andrew J. Baldwin, Oluwatobi Arisa, Andrew M. Giltrap, Brian Josephson, Patrick G. Isenegger, Ben Bower and Jeroen B. I. Sap. Their work appears in journals such as Blood, Nature, Clinical Chemistry and Laboratory Medicine (CCLM), Current Opinion in Chemical Biology and Journal of Medicinal 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.