R Sikorski
- Molecular Biology top 0.5%
- Cell Biology top 0.2%
- Plant Science top 2%
- Biomedical Engineering top 5%
- Genetics top 5%
- Co-authors
- P. HieterPhilip HieterWilliam A. MichaudJohn LambBert VogelsteinSteven I. ReedJanice NigroJennifer G. Peak
- Topics
- Lung Cancer Treatments and Mutations (6 papers)Fungal and yeast genetics research (4 papers)DNA Repair Mechanisms (3 papers)
- Cited by
- Cell BiologyMolecular BiologyAging
- Partner nations
- United StatesHong KongIndia
In The Last Decade
R Sikorski
16 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 8.1k
- Cell Biology 2.3k
- Plant Science 1.0k
- Biomedical Engineering 532
- Genetics 523
Countries citing papers authored by R Sikorski
This map shows the geographic impact of R Sikorski'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 Sikorski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Sikorski more than expected).
Fields of papers citing papers by R Sikorski
This network shows the impact of papers produced by R Sikorski. 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 Sikorski. The network helps show where R Sikorski may publish in the future.
Co-authorship network of co-authors of R Sikorski
This figure shows the co-authorship network connecting the top 25 collaborators of R Sikorski. A scholar is included among the top collaborators of R Sikorski 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 Sikorski. R Sikorski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 77 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | A p21(Waf1/Cip1)carboxyl-terminal peptide exhibited cyclin-dependent kinase-inhibitory activity and cytotoxicity when introduced into human cells. | 61 |
| 9 | Allergy and immunology on the Internet. | 1 |
| 10 | 217 | |
| 11 | 59 | |
| 12 | 109 | |
| 13 | 68 | |
| 14 | A system of shuttle vectors and yeast host strains designed for efficient manipulation of DNA in Saccharomyces cerevisiae.breakdown → | 8041 |
| 15 | Chromosomal aneuploidy in Saccharomyces cerevisiae. | 2 |
| 16 | 92 | |
| 17 | 35 | |
| 18 | [Supplementary bleeding into the vitreous body]. | 3 |
About R Sikorski
R Sikorski is a scholar working on Oncology, Hepatology and Cancer Research, having authored 18 papers that have together received 8.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Fungal and yeast genetics research (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Cell Biology (2.3k citations), Molecular Biology (8.1k citations) and Aging (131 citations). R Sikorski has collaborated with scholars based in United States, Hong Kong and India. Frequent co-authors include P. Hieter, Philip Hieter, William A. Michaud, John Lamb, Bert Vogelstein, Steven I. Reed, Janice Nigro, Jennifer G. Peak, Meyrick J. Peak and Carol Jones. Their work appears in journals such as Journal of Clinical Oncology, The EMBO Journal and Molecular and Cellular 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.