Majambu Mbikay
- Molecular Biology top 5%
- Surgery top 2%
- Cell Biology top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Cancer Research top 5%
- Co-authors
- Michel ChrétienNabil G. SeidahJanice MayneZuhier AwanClaude LazureFrancine SiroisSuzanne BenjannetMarie‐Geneviève Mattéi
- Topics
- Lipoproteins and Cardiovascular Health (24 papers)Cellular transport and secretion (14 papers)Neuropeptides and Animal Physiology (12 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Majambu Mbikay
120 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.1k
- Surgery 1.7k
- Cell Biology 1.0k
- Endocrinology, Diabetes and Metabolism 699
- Cancer Research 644
Countries citing papers authored by Majambu Mbikay
This map shows the geographic impact of Majambu Mbikay'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 Majambu Mbikay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majambu Mbikay more than expected).
Fields of papers citing papers by Majambu Mbikay
This network shows the impact of papers produced by Majambu Mbikay. 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 Majambu Mbikay. The network helps show where Majambu Mbikay may publish in the future.
Co-authorship network of co-authors of Majambu Mbikay
This figure shows the co-authorship network connecting the top 25 collaborators of Majambu Mbikay. A scholar is included among the top collaborators of Majambu Mbikay 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 Majambu Mbikay. Majambu Mbikay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | Whole-Exome Sequencing Reveals an M268T Mutation in the Angiotensinogen Gene of Four Unrelated Renal Failure Patients from the Hail Region of Saudi Arabia | 1 |
| 3 | 15 | |
| 4 | 155 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 30 | |
| 8 | 79 | |
| 9 | 25 | |
| 10 | 108 | |
| 11 | 10 | |
| 12 | 32 | |
| 13 | 16 | |
| 14 | 23 | |
| 15 | 421 | |
| 16 | 140 | |
| 17 | 18 | |
| 18 | 49 | |
| 19 | 61 | |
| 20 | 6 |
About Majambu Mbikay
Majambu Mbikay is a scholar working on Cell Biology, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 120 papers that have together received 5.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (24 papers), Cellular transport and secretion (14 papers) and Neuropeptides and Animal Physiology (12 papers). The work is most often cited by research in Cell Biology (1.0k citations), Cancer Research (644 citations) and Endocrinology, Diabetes and Metabolism (699 citations). Majambu Mbikay has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Michel Chrétien, Nabil G. Seidah, Janice Mayne, Zuhier Awan, Claude Lazure, Francine Sirois, Suzanne Benjannet, Marie‐Geneviève Mattéi, Ajoy Basak and Angela Raymond. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.