Catherine Moali
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
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- TGF-β signaling in diseases 5
- Connective Tissue Growth Factor Research 5
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- Protease and Inhibitor Mechanisms 22
- Co-authors
- David Hulmes (25 shared papers)Jean‐Luc Boucher (4 shared papers)Sandrine Vadon‐Le Goff (21 shared papers)Jean‐Pierre Tenu (3 shared papers)Daniel Mansuy (8 shared papers)Marie‐Agnès Sari (3 shared papers)Jean-Luc Boucher (3 shared papers)Dennis J. Stuehr (2 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Matrix Biology (3 papers)Cellular and Molecular Life Sciences (3 papers)Scientific Reports (2 papers)Biochemistry (2 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Catherine Moali
52 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 121
- Immunology and Allergy 298
- Molecular Medicine 249
- Cancer Research 492
- Biochemistry 170
- Physiology 443
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 259 | |
| 2 | 1998 | 178 | |
| 3 | 2015 | 122 | |
| 4 | 1999 | 121 | |
| 5 | 2013 | 118 | |
| 6 | 2003 | 112 | |
| 7 | 2001 | 100 | |
| 8 | 2001 | 96 | |
| 9 | 2005 | 90 | |
| 10 | 1997 | 88 | |
| 11 | 2017 | 83 | |
| 12 | 2012 | 83 | |
| 13 | 2016 | 80 | |
| 14 | 2010 | 79 | |
| 15 | 2007 | 75 | |
| 16 | 2009 | 61 | |
| 17 | 2002 | 58 | |
| 18 | 2013 | 55 | |
| 19 | 2019 | 49 | |
| 20 | 2011 | 48 |
About Catherine Moali
Catherine Moali is a scholar working on Molecular Biology, Cancer Research, Immunology and Allergy, Genetics and Physiology, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (22 papers), Cell Adhesion Molecules Research (11 papers), Connective tissue disorders research (10 papers), Nitric Oxide and Endothelin Effects (8 papers), Bone and Dental Protein Studies (5 papers), TGF-β signaling in diseases (5 papers), Connective Tissue Growth Factor Research (5 papers) and Enzyme Production and Characterization (5 papers). The work is most often cited by research in Immunology and Allergy (298 citations), Molecular Medicine (249 citations), Cancer Research (492 citations), Biochemistry (170 citations) and Physiology (443 citations). Catherine Moali has collaborated with scholars based in France, Germany and United States. Frequent co-authors include David Hulmes, Jean‐Luc Boucher, Sandrine Vadon‐Le Goff, Jean‐Pierre Tenu, Daniel Mansuy, Marie‐Agnès Sari, Jean-Luc Boucher, Dennis J. Stuehr, Maurice Brollo and Moreno Galleni. Their work appears in journals such as Journal of Biological Chemistry, Matrix Biology, Cellular and Molecular Life Sciences, Scientific Reports and Biochemistry.
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.