Lilia Topol
- Molecular Biology top 5%
- Cell Biology top 2%
- Genetics top 5%
- Rheumatology top 5%
- Oncology
- Co-authors
- Yingzi YangLisa Garrett‐BealHosoon ChoiPeter J. CarolanTimothy F. DayJinling WuHai SongXizhi Guo
- Topics
- RNA Interference and Gene Delivery (5 papers)Cancer-related gene regulation (5 papers)Virus-based gene therapy research (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryGenes & Development
- Partner nations
- United StatesRussiaFrance
In The Last Decade
Lilia Topol
21 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.9k
- Cell Biology 568
- Genetics 457
- Rheumatology 304
- Oncology 230
Countries citing papers authored by Lilia Topol
This map shows the geographic impact of Lilia Topol'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 Lilia Topol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lilia Topol more than expected).
Fields of papers citing papers by Lilia Topol
This network shows the impact of papers produced by Lilia Topol. 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 Lilia Topol. The network helps show where Lilia Topol may publish in the future.
Co-authorship network of co-authors of Lilia Topol
This figure shows the co-authorship network connecting the top 25 collaborators of Lilia Topol. A scholar is included among the top collaborators of Lilia Topol 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 Lilia Topol. Lilia Topol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 452 | |
| 2 | 184 | |
| 3 | 228 | |
| 4 | 321 | |
| 5 | 329 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 46 | |
| 9 | 125 | |
| 10 | 104 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | Activation of the mitogen-activated protein kinase cascade in response to the temperature inducible expression of v-mos kinase. | 5 |
| 14 | Transformation-resistant mos revertant is unable to activate MAP kinase kinase in response to v-mos or v-raf. | 4 |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 11 | |
| 18 | 15 | |
| 19 | [Activity of topoisomerase I and endonucleases in cells transfected by a ras oncogene]. | 2 |
| 20 | 3 |
About Lilia Topol
Lilia Topol is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 21 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Cancer-related gene regulation (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Cell Biology (568 citations), Molecular Biology (1.9k citations) and Rheumatology (304 citations). Lilia Topol has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Yingzi Yang, Lisa Garrett‐Beal, Hosoon Choi, Peter J. Carolan, Timothy F. Day, Jinling Wu, Hai Song, Xizhi Guo, Michael J. Nemeth and Stacie M. Anderson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.
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.