John Jakubczak
- Molecular Biology top 5%
- Plant Science top 2%
- Genetics top 5%
- Oncology top 10%
- Cancer Research top 10%
- Co-authors
- Thomas H. EickbushWilliam D. BurkeYue XiongGlenn MerlinoLalage M. WakefieldDiana C. HainesErwin P. BöttingerSusan Garges
- Topics
- Virus-based gene therapy research (6 papers)Chromosomal and Genetic Variations (6 papers)Cancer Research and Treatments (5 papers)
- Partner nations
- United StatesCzechiaUnited Kingdom
In The Last Decade
John Jakubczak
27 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.9k
- Plant Science 1.2k
- Genetics 458
- Oncology 332
- Cancer Research 192
Countries citing papers authored by John Jakubczak
This map shows the geographic impact of John Jakubczak'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 John Jakubczak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Jakubczak more than expected).
Fields of papers citing papers by John Jakubczak
This network shows the impact of papers produced by John Jakubczak. 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 John Jakubczak. The network helps show where John Jakubczak may publish in the future.
Co-authorship network of co-authors of John Jakubczak
This figure shows the co-authorship network connecting the top 25 collaborators of John Jakubczak. A scholar is included among the top collaborators of John Jakubczak 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 John Jakubczak. John Jakubczak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 86 | |
| 2 | 49 | |
| 3 | 1 | |
| 4 | 36 | |
| 5 | 8 | |
| 6 | 21 | |
| 7 | 63 | |
| 8 | 26 | |
| 9 | 47 | |
| 10 | 74 | |
| 11 | 48 | |
| 12 | Transgenic mice overexpressing a dominant-negative mutant type II transforming growth factor beta receptor show enhanced tumorigenesis in the mammary gland and lung in response to the carcinogen 7,12-dimethylbenz-[a]-anthracene. | 156 |
| 13 | 188 | |
| 14 | 11 | |
| 15 | 67 | |
| 16 | Reverse transcription of R2Bm RNA is primed by a nick at the chromosomal target site: A mechanism for non-LTR retrotranspositionbreakdown → | 946 |
| 17 | 73 | |
| 18 | 130 | |
| 19 | 44 | |
| 20 | 7 |
About John Jakubczak
John Jakubczak is a scholar working on Biotechnology, Hepatology and Oncology, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Chromosomal and Genetic Variations (6 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Plant Science (1.2k citations), Molecular Biology (1.9k citations) and Genetics (458 citations). John Jakubczak has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include Thomas H. Eickbush, William D. Burke, Yue Xiong, Glenn Merlino, Lalage M. Wakefield, Diana C. Haines, Erwin P. Böttinger, Susan Garges, William J. Muller and Sankar Adhya. 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.