Nabil G. Seidah
- Cell Biology top 0.02%
- Cellular transport and secretion 119
- Endoplasmic Reticulum Stress and Disease 65
- Cellular and Molecular Neuroscience top 0.1%
- Neuropeptides and Animal Physiology 106
- Endocrine and Autonomic Systems top 0.2%
- Regulation of Appetite and Obesity 53
- Cancer Research top 0.1%
- Surgery top 0.05%
- Lipoproteins and Cardiovascular Health 118
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- Receptor Mechanisms and Signaling 105
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- Peptidase Inhibition and Analysis 65
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- Growth Hormone and Insulin-like Growth Factors 49
Nabil G. Seidah
694 papers receiving 40.4k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Cell Biology 7.5k
- Cellular and Molecular Neuroscience 6.6k
- Endocrine and Autonomic Systems 2.2k
- Cancer Research 4.7k
- Surgery 11.3k
Countries citing papers authored by Nabil G. Seidah
This map shows the geographic impact of Nabil G. Seidah'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 Nabil G. Seidah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabil G. Seidah more than expected).
Fields of papers citing papers by Nabil G. Seidah
This network shows the impact of papers produced by Nabil G. Seidah. 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 Nabil G. Seidah. The network helps show where Nabil G. Seidah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nabil G. Seidah, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 113 | |
| 5 | 2022 | 64 | |
| 6 | Efficient in vivo base editing via single adeno-associated viruses with size-optimized genomes encoding compact adenine base editorsbreakdown → | 2022 | 117 |
| 7 | 2022 | 23 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 30 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 25 | |
| 12 | 2016 | 20 | |
| 13 | 2014 | 47 | |
| 14 | 2012 | 23 | |
| 15 | Modern views on aetiology and pathogenesis of tumor growths and benign ovarian tumors | 2010 | 0 |
| 16 | Inactivation of furin by its naturally occurring inhibitor pro-furin abolish breast cancer cells malignant phenotypes and tumorigenecity in mice. | 2006 | 1 |
| 17 | 1995 | 78 | |
| 18 | 1989 | 18 | |
| 19 | 1987 | 61 | |
| 20 | Structure and maturation process of pro-opiomelanocortin: a model for other neuropeptides. | 1980 | 2 |
About Nabil G. Seidah
Nabil G. Seidah is a scholar working on Cell Biology, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 706 papers that have together received 41.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (119 papers), Lipoproteins and Cardiovascular Health (118 papers), Neuropeptides and Animal Physiology (106 papers), Receptor Mechanisms and Signaling (105 papers), Peptidase Inhibition and Analysis (65 papers), Endoplasmic Reticulum Stress and Disease (65 papers), Regulation of Appetite and Obesity (53 papers) and Growth Hormone and Insulin-like Growth Factors (49 papers). The work is most often cited by research in Cell Biology (7.5k citations), Cellular and Molecular Neuroscience (6.6k citations) and Endocrine and Autonomic Systems (2.2k citations). Nabil G. Seidah has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Michel Chrétien, Suzanne Benjannet, Annik Prat, Claude Lazure, Robert Day, Majambu Mbikay, Josée Hamelin, Ajoy Basak, Jadwiga Marcinkiewicz and Étienne Decroly. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.