Annie Sittler
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Neurology top 5%
- Cell Biology top 5%
- Genetics top 10%
- Co-authors
- Erich E. WankerEberhard ScherzingerVolker HeiserPaul J. MuchowskiGregor SchaffarF. Ulrich HartlManajit Hayer‐HartlGillian P. Bates
- Topics
- Genetic Neurodegenerative Diseases (13 papers)Mitochondrial Function and Pathology (10 papers)RNA Research and Splicing (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchThe Journal of Cell Biology
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Annie Sittler
29 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 1.3k
- Neurology 395
- Cell Biology 371
- Genetics 327
Countries citing papers authored by Annie Sittler
This map shows the geographic impact of Annie Sittler'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 Annie Sittler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annie Sittler more than expected).
Fields of papers citing papers by Annie Sittler
This network shows the impact of papers produced by Annie Sittler. 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 Annie Sittler. The network helps show where Annie Sittler may publish in the future.
Co-authorship network of co-authors of Annie Sittler
This figure shows the co-authorship network connecting the top 25 collaborators of Annie Sittler. A scholar is included among the top collaborators of Annie Sittler 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 Annie Sittler. Annie Sittler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 13 | |
| 3 | 51 | |
| 4 | 59 | |
| 5 | 80 | |
| 6 | 58 | |
| 7 | 19 | |
| 8 | 43 | |
| 9 | 41 | |
| 10 | 193 | |
| 11 | [Screening of proteins interact with FMR1 by yeast two-hybrid system]. | 3 |
| 12 | 185 | |
| 13 | 66 | |
| 14 | 149 | |
| 15 | 13 | |
| 16 | 22 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | 2 |
About Annie Sittler
Annie Sittler is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics, having authored 29 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (13 papers), Mitochondrial Function and Pathology (10 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Aging (54 citations) and Molecular Biology (2.1k citations). Annie Sittler has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Erich E. Wanker, Eberhard Scherzinger, Volker Heiser, Paul J. Muchowski, Gregor Schaffar, F. Ulrich Hartl, Manajit Hayer‐Hartl, Gillian P. Bates, Hans Lehrach and Renate Hasenbank. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.