Maria-Grazia Catelli
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- thermodynamics and calorimetric analyses 4
- Molecular Biology top 10%
- Heat shock proteins research 15
- Protein Structure and Dynamics 3
- Signaling Pathways in Disease 2
- Aging top 10%
- Genetics top 10%
- Estrogen and related hormone effects 3
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- Enzyme Structure and Function 4
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- Computational Drug Discovery Methods 3
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- Animal Nutrition and Physiology 2
- Co-authors
- Etienne‐Emile BaulieuIrène JoabChristine RadanyiNadine BinartJán MešterThierry BuchouMichel RenoirXia Meng
- Journals
- Experimental Cell Research (3 papers)Biochemical and Biophysical Research Communications (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Maria-Grazia Catelli
18 papers receiving 976 citations
Peers
Comparison fields: 5 of 77
- Physical and Theoretical Chemistry 125
- Molecular Biology 813
- Aging 20
- Genetics 298
- Endocrinology, Diabetes and Metabolism 133
Countries citing papers authored by Maria-Grazia Catelli
This map shows the geographic impact of Maria-Grazia Catelli'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 Maria-Grazia Catelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria-Grazia Catelli more than expected).
Fields of papers citing papers by Maria-Grazia Catelli
This network shows the impact of papers produced by Maria-Grazia Catelli. 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 Maria-Grazia Catelli. The network helps show where Maria-Grazia Catelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria-Grazia Catelli, 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 | 2015 | 31 | |
| 2 | 2008 | 2 | |
| 3 | 2008 | 53 | |
| 4 | 1999 | 14 | |
| 5 | 1999 | 78 | |
| 6 | 1998 | 62 | |
| 7 | 1998 | 9 | |
| 8 | 1997 | 101 | |
| 9 | 1996 | 59 | |
| 10 | 1993 | 37 | |
| 11 | 1991 | 29 | |
| 12 | 1990 | 2 | |
| 13 | 1989 | 52 | |
| 14 | 1989 | 12 | |
| 15 | 1986 | 92 | |
| 16 | 1984 | 4 | |
| 17 | 1984 | 363 | |
| 18 | 1982 | 17 |
About Maria-Grazia Catelli
Maria-Grazia Catelli is a scholar working on Physical and Theoretical Chemistry, Animal Science and Zoology, Molecular Biology, Computational Theory and Mathematics and Small Animals, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Heat shock proteins research (15 papers), thermodynamics and calorimetric analyses (4 papers), Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (3 papers), Estrogen and related hormone effects (3 papers), Computational Drug Discovery Methods (3 papers), Animal Nutrition and Physiology (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (125 citations), Molecular Biology (813 citations), Aging (20 citations), Genetics (298 citations) and Endocrinology, Diabetes and Metabolism (133 citations). Maria-Grazia Catelli has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Etienne‐Emile Baulieu, Irène Joab, Christine Radanyi, Nadine Binart, Ján Mešter, Thierry Buchou, Michel Renoir, Xia Meng, Andrew Ziemiecki and Bruno Moncharmont. Their work appears in journals such as Experimental Cell Research, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Growth Factors and Endocrinology.
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.