R Metz
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Immunology top 10%
- Oncology top 10%
- Genetics top 10%
- Co-authors
- Edward B. ZiffEric R. KandelCristina M. AlberiniGilles MerlinJudith ChebathMichel RevelR BravoKarla Kovary
- Topics
- Virus-based gene therapy research (4 papers)RNA and protein synthesis mechanisms (3 papers)interferon and immune responses (2 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
R Metz
13 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 409
- Immunology 293
- Oncology 246
- Genetics 212
Countries citing papers authored by R Metz
This map shows the geographic impact of R Metz'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 R Metz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Metz more than expected).
Fields of papers citing papers by R Metz
This network shows the impact of papers produced by R Metz. 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 R Metz. The network helps show where R Metz may publish in the future.
Co-authorship network of co-authors of R Metz
This figure shows the co-authorship network connecting the top 25 collaborators of R Metz. A scholar is included among the top collaborators of R Metz 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 R Metz. R Metz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Expression and characterization of mouse cFos protein using the baculovirus expression system: ability to form functional AP-1 complex with coexpressed cJun protein. | 6 |
| 2 | Regulation of Fra-1 and Fra-2 phosphorylation differs during the cell cycle of fibroblasts and phosphorylation in vitro by MAP kinase affects DNA binding activity. | 118 |
| 3 | 24 | |
| 4 | 36 | |
| 5 | C/EBP is an immediate-early gene required for the consolidation of long-term facilitation in Aplysiabreakdown → | 456 |
| 6 | 63 | |
| 7 | 160 | |
| 8 | 352 | |
| 9 | The helix-loop-helix protein rE12 and the C/EBP-related factor rNFIL-6 bind to neighboring sites within the c-fos serum response element. | 67 |
| 10 | 25 | |
| 11 | 211 | |
| 12 | 93 | |
| 13 | 89 |
About R Metz
R Metz is a scholar working on Physiology, Genetics and Molecular Biology, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), RNA and protein synthesis mechanisms (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (409 citations), Molecular Biology (1.1k citations) and Immunology (293 citations). R Metz has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Edward B. Ziff, Eric R. Kandel, Cristina M. Alberini, Gilles Merlin, Judith Chebath, Michel Revel, R Bravo, Karla Kovary, Tetsuro Noguchi and Lihong Chen. Their work appears in journals such as Cell, 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.