Edward B. Ziff
- Molecular Biology top 0.1%
- Cellular and Molecular Neuroscience top 0.1%
- Genetics top 0.2%
- Oncology top 0.5%
- Cell Biology top 0.2%
- Co-authors
- Michael E. GreenbergGeorge C. PrendergastLloyd A. GreeneTony KouzaridesLatika KhatriAnna VelcichN C JonesPeter Rigby
- Topics
- Neuroscience and Neuropharmacology Research (56 papers)Virus-based gene therapy research (40 papers)RNA Research and Splicing (20 papers)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Edward B. Ziff
195 papers receiving 21.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 15.7k
- Cellular and Molecular Neuroscience 6.2k
- Genetics 4.4k
- Oncology 2.8k
- Cell Biology 2.6k
Countries citing papers authored by Edward B. Ziff
This map shows the geographic impact of Edward B. Ziff'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 Edward B. Ziff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward B. Ziff more than expected).
Fields of papers citing papers by Edward B. Ziff
This network shows the impact of papers produced by Edward B. Ziff. 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 Edward B. Ziff. The network helps show where Edward B. Ziff may publish in the future.
Co-authorship network of co-authors of Edward B. Ziff
This figure shows the co-authorship network connecting the top 25 collaborators of Edward B. Ziff. A scholar is included among the top collaborators of Edward B. Ziff 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 Edward B. Ziff. Edward B. Ziff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 22 | |
| 3 | 31 | |
| 4 | 0 | |
| 5 | 21 | |
| 6 | 17 | |
| 7 | 8 | |
| 8 | 142 | |
| 9 | 8 | |
| 10 | 38 | |
| 11 | Altered expression of helix-loop-helix transcriptional regulators and cyclin D1 in Wnt-1-transformed PC12 cells. | 23 |
| 12 | Genetic elements regulating HES-1 induction in Wnt-1-transformed PC12 cells. | 16 |
| 13 | 141 | |
| 14 | Raf phosphorylates p53 in vitro and potentiates p53-dependent transcriptional transactivation in vivo. | 52 |
| 15 | 48 | |
| 16 | 69 | |
| 17 | Trans-acting protein factors and the regulation of eukaryotic transcription: lessons from studies on DNA tumor viruses.breakdown → | 693 |
| 18 | The role of the leucine zipper in the fos–jun interactionbreakdown → | 737 |
| 19 | 53 | |
| 20 | 47 |
About Edward B. Ziff
Edward B. Ziff is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics, having authored 198 papers that have together received 22.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (56 papers), Virus-based gene therapy research (40 papers) and RNA Research and Splicing (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.2k citations), Molecular Biology (15.7k citations) and Cell Biology (2.6k citations). Edward B. Ziff has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Michael E. Greenberg, George C. Prendergast, Lloyd A. Greene, Tony Kouzarides, Latika Khatri, Anna Velcich, N C Jones, Peter Rigby, Ingo H. Greger and Ronald M. Evans. Their work appears in journals such as Nature, Science and Cell.
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.