Gabriele Petersen
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Plant Science top 10%
- Co-authors
- Michael RosbashJeffrey C. HallKathleen K. SiwickiAnne GirodChristiane E. WobusJürgen A. KleinschmidtMichael HallekEkkehard K.F. Bautz
- Topics
- RNA and protein synthesis mechanisms (7 papers)RNA Research and Splicing (6 papers)Bacteriophages and microbial interactions (4 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Gabriele Petersen
28 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 625
- Endocrine and Autonomic Systems 407
- Genetics 342
- Cellular and Molecular Neuroscience 328
- Plant Science 298
Countries citing papers authored by Gabriele Petersen
This map shows the geographic impact of Gabriele Petersen'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 Gabriele Petersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Petersen more than expected).
Fields of papers citing papers by Gabriele Petersen
This network shows the impact of papers produced by Gabriele Petersen. 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 Gabriele Petersen. The network helps show where Gabriele Petersen may publish in the future.
Co-authorship network of co-authors of Gabriele Petersen
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Petersen. A scholar is included among the top collaborators of Gabriele Petersen 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 Gabriele Petersen. Gabriele Petersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 69 | |
| 2 | 7 | |
| 3 | 23 | |
| 4 | 12 | |
| 5 | 24 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 73 | |
| 9 | 53 | |
| 10 | 25 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 26 | |
| 14 | 21 | |
| 15 | 20 | |
| 16 | 25 | |
| 17 | Antibodies to the period gene product of drosophila reveal diverse tissue distribution and rhythmic changes in the visual systembreakdown → | 325 |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 1 |
About Gabriele Petersen
Gabriele Petersen is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Immunology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (6 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (407 citations), Aging (62 citations) and Cellular and Molecular Neuroscience (328 citations). Gabriele Petersen has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Michael Rosbash, Jeffrey C. Hall, Kathleen K. Siwicki, Anne Girod, Christiane E. Wobus, Jürgen A. Kleinschmidt, Michael Hallek, Ekkehard K.F. Bautz, J. C. Hall and Pranhitha Reddy. Their work appears in journals such as Cell, Journal of Biological Chemistry and Neuron.
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.