Michel Sémériva
- Aging top 2%
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- Neurobiology and Insect Physiology Research 14
- Molecular Biology top 5%
- Enzyme Catalysis and Immobilization 13
- Developmental Biology and Gene Regulation 10
- RNA Research and Splicing 4
- Cell Biology top 5%
- Biochemistry top 5%
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- Invertebrate Immune Response Mechanisms 8
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- Physiological and biochemical adaptations 7
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- Pancreatic function and diabetes 6
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- Diabetes Management and Research 5
- Co-authors
- Martine AstierP. DesnuelleLaurent PerrinStéphane ZaffranCatherine ChapusVladimir L. KatanaevAndrew TomlinsonBruno Monier
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Michel Sémériva
56 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 101
- Aging 106
- Cellular and Molecular Neuroscience 552
- Molecular Biology 1.8k
- Cell Biology 408
- Biochemistry 124
Countries citing papers authored by Michel Sémériva
This map shows the geographic impact of Michel Sémériva'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 Michel Sémériva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Sémériva more than expected).
Fields of papers citing papers by Michel Sémériva
This network shows the impact of papers produced by Michel Sémériva. 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 Michel Sémériva. The network helps show where Michel Sémériva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michel Sémériva, 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 | 2009 | 45 | |
| 2 | 2008 | 89 | |
| 3 | 2007 | 58 | |
| 4 | 2007 | 20 | |
| 5 | 2006 | 75 | |
| 6 | 2005 | 215 | |
| 7 | Steroid-dependent modification of Hox function drives myocyte reprogramming in the Drosophila heart | 2005 | 4 |
| 8 | Expression of cardiac myosin-binding protein-C (cMyBP-C) in Drosophila as a model for the study of human cardiomyopathies | 2005 | 7 |
| 9 | 2004 | 59 | |
| 10 | 2004 | 10 | |
| 11 | 1998 | 78 | |
| 12 | 1997 | 15 | |
| 13 | 1995 | 27 | |
| 14 | 1994 | 65 | |
| 15 | 1991 | 14 | |
| 16 | 1982 | 5 | |
| 17 | 1978 | 40 | |
| 18 | The lipase-colipase system as studied with model interfaces. | 1977 | 1 |
| 19 | Pancreatic lipase and colipase: an example of heterogeneous biocatalysis. | 1976 | 9 |
| 20 | 1976 | 61 |
About Michel Sémériva
Michel Sémériva is a scholar working on Aging, Cellular and Molecular Neuroscience and Sensory Systems, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (14 papers), Enzyme Catalysis and Immobilization (13 papers), Developmental Biology and Gene Regulation (10 papers), Invertebrate Immune Response Mechanisms (8 papers), Physiological and biochemical adaptations (7 papers), Pancreatic function and diabetes (6 papers), Diabetes Management and Research (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Aging (106 citations), Cellular and Molecular Neuroscience (552 citations) and Molecular Biology (1.8k citations). Michel Sémériva has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Martine Astier, P. Desnuelle, Laurent Perrin, Stéphane Zaffran, Catherine Chapus, Vladimir L. Katanaev, Andrew Tomlinson, Bruno Monier, Aymeric Chartier and Claire Cérini. Their work appears in journals such as Nature, Cell and The Journal of Cell Biology.
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.