Christine Hübert
- Cardiology and Cardiovascular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Genetics top 5%
- Pharmacology top 5%
- Co-authors
- Brigitte RigatPierre CorvolFlorent SoubrierFrançois Alhenc‐GelasJ AllegriniAnne-Laure LattionSophie NadaudÈve Devinoy
- Topics
- Renin-Angiotensin System Studies (6 papers)Protein Hydrolysis and Bioactive Peptides (3 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers)
- Journals
- Nucleic Acids ResearchJournal of Clinical OncologyBiochemical and Biophysical Research Communications
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Christine Hübert
22 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cardiology and Cardiovascular Medicine 1.2k
- Endocrinology, Diabetes and Metabolism 745
- Molecular Biology 490
- Genetics 402
- Pharmacology 278
Countries citing papers authored by Christine Hübert
This map shows the geographic impact of Christine Hübert'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 Christine Hübert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Hübert more than expected).
Fields of papers citing papers by Christine Hübert
This network shows the impact of papers produced by Christine Hübert. 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 Christine Hübert. The network helps show where Christine Hübert may publish in the future.
Co-authorship network of co-authors of Christine Hübert
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Hübert. A scholar is included among the top collaborators of Christine Hübert 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 Christine Hübert. Christine Hübert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 28 | |
| 7 | 10 | |
| 8 | 104 | |
| 9 | 47 | |
| 10 | 33 | |
| 11 | 12 | |
| 12 | 56 | |
| 13 | 71 | |
| 14 | 12 | |
| 15 | PCR detection of the insertion/deletion polymorphism of the human angiotensin converting enzyme gene (DCP1) (dipeptidyl carboxypeptidase 1)breakdown → | 1109 |
| 16 | 146 | |
| 17 | 42 | |
| 18 | 63 | |
| 19 | 32 | |
| 20 | 8 |
About Christine Hübert
Christine Hübert is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Gastroenterology, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (6 papers), Protein Hydrolysis and Bioactive Peptides (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (745 citations) and Pharmacology (278 citations). Christine Hübert has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Brigitte Rigat, Pierre Corvol, Pierre Corvol, Florent Soubrier, François Alhenc‐Gelas, J Allegrini, Anne-Laure Lattion, Sophie Nadaud, Ève Devinoy and Sébastien Fuchs. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and Biochemical and Biophysical Research 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.