Catherine Moali
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
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- Connective Tissue Growth Factor Research 5
- TGF-β signaling in diseases 5
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- Protease and Inhibitor Mechanisms 23
- Co-authors
- David Hulmes (24 shared papers)Jean‐Luc Boucher (4 shared papers)Jean‐Pierre Tenu (3 shared papers)Sandrine Vadon‐Le Goff (21 shared papers)Daniel Mansuy (8 shared papers)Marie‐Agnès Sari (3 shared papers)Jean-Luc Boucher (3 shared papers)Maurice Brollo (4 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Matrix Biology (3 papers)Cellular and Molecular Life Sciences (3 papers)Scientific Reports (2 papers)Journal of Proteomics (2 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Catherine Moali
51 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Molecular Medicine 242
- Immunology and Allergy 282
- Cancer Research 497
- Biochemistry 189
- Physiology 452
Countries citing papers authored by Catherine Moali
This map shows the geographic impact of Catherine Moali'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 Catherine Moali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Moali more than expected).
Fields of papers citing papers by Catherine Moali
This network shows the impact of papers produced by Catherine Moali. 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 Catherine Moali. The network helps show where Catherine Moali may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Moali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 248 | |
| 2 | 1998 | 172 | |
| 3 | 1999 | 118 | |
| 4 | 2015 | 112 | |
| 5 | 2013 | 110 | |
| 6 | 2003 | 109 | |
| 7 | 2001 | 97 | |
| 8 | 2001 | 95 | |
| 9 | 1997 | 87 | |
| 10 | 2005 | 86 | |
| 11 | 2017 | 78 | |
| 12 | 2016 | 78 | |
| 13 | 2010 | 75 | |
| 14 | 2007 | 74 | |
| 15 | 2012 | 71 | |
| 16 | 2009 | 56 | |
| 17 | 2002 | 54 | |
| 18 | 2013 | 50 | |
| 19 | 2019 | 47 | |
| 20 | 2000 | 46 |
About Catherine Moali
Catherine Moali is a scholar working on Molecular Biology, Cancer Research, Immunology and Allergy, Genetics and Physiology, having authored 51 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (23 papers), Cell Adhesion Molecules Research (10 papers), Connective tissue disorders research (9 papers), Nitric Oxide and Endothelin Effects (8 papers), Connective Tissue Growth Factor Research (5 papers), Enzyme Production and Characterization (5 papers), TGF-β signaling in diseases (5 papers) and Bone and Dental Protein Studies (5 papers). The work is most often cited by research in Molecular Medicine (242 citations), Immunology and Allergy (282 citations), Cancer Research (497 citations), Biochemistry (189 citations) and Physiology (452 citations). Catherine Moali has collaborated with scholars based in France, Germany and United States. Frequent co-authors include David Hulmes, Jean‐Luc Boucher, Jean‐Pierre Tenu, Sandrine Vadon‐Le Goff, Daniel Mansuy, Marie‐Agnès Sari, Jean-Luc Boucher, Maurice Brollo, Dennis J. Stuehr and Moreno Galleni. Their work appears in journals such as Journal of Biological Chemistry, Matrix Biology, Cellular and Molecular Life Sciences, Scientific Reports and Journal of Proteomics.
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.