Fyodor D. Urnov
- Molecular Biology top 0.2%
- Genetics top 0.2%
- Plant Science top 1%
- Public Health, Environmental and Occupational Health top 2%
- Oncology top 5%
- Co-authors
- Philip D. GregoryEdward J. RebarMichael C. HolmesJeffrey C. MillerH. Steve ZhangXiangdong MengGregory J. CostChristian Beauséjour
- Topics
- CRISPR and Genetic Engineering (48 papers)Genomics and Chromatin Dynamics (17 papers)Pluripotent Stem Cells Research (15 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Fyodor D. Urnov
83 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 11.6k
- Genetics 3.6k
- Plant Science 1.4k
- Public Health, Environmental and Occupational Health 925
- Oncology 832
Countries citing papers authored by Fyodor D. Urnov
This map shows the geographic impact of Fyodor D. Urnov'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 Fyodor D. Urnov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fyodor D. Urnov more than expected).
Fields of papers citing papers by Fyodor D. Urnov
This network shows the impact of papers produced by Fyodor D. Urnov. 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 Fyodor D. Urnov. The network helps show where Fyodor D. Urnov may publish in the future.
Co-authorship network of co-authors of Fyodor D. Urnov
This figure shows the co-authorship network connecting the top 25 collaborators of Fyodor D. Urnov. A scholar is included among the top collaborators of Fyodor D. Urnov 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 Fyodor D. Urnov. Fyodor D. Urnov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 31 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 86 | |
| 7 | K13-propeller mutations confer artemisinin resistance in Plasmodium falciparum clinical isolatesbreakdown → | 473 |
| 8 | 121 | |
| 9 | 34 | |
| 10 | 216 | |
| 11 | 51 | |
| 12 | 499 | |
| 13 | Generation of Isogenic Pluripotent Stem Cells Differing Exclusively at Two Early Onset Parkinson Point Mutationsbreakdown → | 555 |
| 14 | 1 | |
| 15 | 147 | |
| 16 | 274 | |
| 17 | Heritable targeted gene disruption in zebrafish using designed zinc-finger nucleasesbreakdown → | 681 |
| 18 | 28 | |
| 19 | 20 | |
| 20 | 12 |
About Fyodor D. Urnov
Fyodor D. Urnov is a scholar working on Aging, Molecular Biology and Business and International Management, having authored 84 papers that have together received 13.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (48 papers), Genomics and Chromatin Dynamics (17 papers) and Pluripotent Stem Cells Research (15 papers). The work is most often cited by research in Business and International Management (668 citations), Aging (522 citations) and Molecular Biology (11.6k citations). Fyodor D. Urnov has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Philip D. Gregory, Edward J. Rebar, Michael C. Holmes, Jeffrey C. Miller, H. Steve Zhang, Xiangdong Meng, Gregory J. Cost, Christian Beauséjour, Alan P. Wolffe and Bryan Zeitler. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.