Florence Schlotter
- Molecular Biology top 10%
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Reproductive Medicine top 5%
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Paolo Sassone‐CorsiNicholas S. FoulkesB M LaoidePaul PévetChristiane BranlantCarlos A. MolinaSéverine MassenetAntoine Cléry
- Topics
- RNA modifications and cancer (8 papers)RNA Research and Splicing (5 papers)RNA and protein synthesis mechanisms (4 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Florence Schlotter
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 717
- Genetics 195
- Cellular and Molecular Neuroscience 155
- Reproductive Medicine 136
- Endocrine and Autonomic Systems 103
Countries citing papers authored by Florence Schlotter
This map shows the geographic impact of Florence Schlotter'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 Florence Schlotter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Schlotter more than expected).
Fields of papers citing papers by Florence Schlotter
This network shows the impact of papers produced by Florence Schlotter. 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 Florence Schlotter. The network helps show where Florence Schlotter may publish in the future.
Co-authorship network of co-authors of Florence Schlotter
This figure shows the co-authorship network connecting the top 25 collaborators of Florence Schlotter. A scholar is included among the top collaborators of Florence Schlotter 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 Florence Schlotter. Florence Schlotter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 15 | |
| 4 | 48 | |
| 5 | 37 | |
| 6 | 33 | |
| 7 | 52 | |
| 8 | 81 | |
| 9 | 57 | |
| 10 | 38 | |
| 11 | The expression of inducible cAMP early repressor (ICER) is altered in prostate cancer cells and reverses the transformed phenotype of the LNCaP prostate tumor cell line. | 15 |
| 12 | 107 | |
| 13 | 27 | |
| 14 | 222 | |
| 15 | 12 | |
| 16 | 183 | |
| 17 | 95 |
About Florence Schlotter
Florence Schlotter is a scholar working on Molecular Biology, Genetics and Endocrine and Autonomic Systems, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Reproductive Medicine (136 citations), Endocrine and Autonomic Systems (103 citations) and Molecular Biology (717 citations). Florence Schlotter has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Paolo Sassone‐Corsi, Nicholas S. Foulkes, B M Laoide, Paul Pévet, Christiane Branlant, Carlos A. Molina, Séverine Massenet, Antoine Cléry, Nathalie Marmier‐Gourrier and Reza Razavi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.