Yuriy Fedorov

2.7k citations
22 papers · 1.8k indexed · 1 hit paper · h-index 11
Topics
RNA Interference and Gene Delivery (7 papers)MicroRNA in disease regulation (4 papers)Protein Degradation and Inhibitors (4 papers)

In The Last Decade

Yuriy Fedorov

22 papers receiving 1.8k citations

Hit Papers

3′ UTR seed matches, but not overall identity, are associ...20062026201220192006200400600

Peers

Yuriy Fedorov
Comparison fields: 5 of 105
  • Molecular Biology 1.5k
  • Cancer Research 596
  • Genetics 222
  • Immunology 141
  • Oncology 89
Replace Manuel J. Muñoz with:
Manuel J. Muñoz Argentina
Vasudevan Seshadri India
Ania Wilczynska United Kingdom
Petros Kolovos Netherlands
Thomas G. Fazzio United States
Anders M. Lindroth South Korea
Toshinobu Fujiwara Japan
Adam Burkholder United States
Yuriy Fedorov relative to Manuel J. Muñoz Argentina Manuel J. Muñoz's profile →
Citations per field
00.5×1.5×2.1×
Manuel J. Muñoz · 1×
Citations per year

Countries citing papers authored by Yuriy Fedorov

Since Specialization
Citations

This map shows the geographic impact of Yuriy Fedorov'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 Yuriy Fedorov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuriy Fedorov more than expected).

Fields of papers citing papers by Yuriy Fedorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuriy Fedorov. 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 Yuriy Fedorov. The network helps show where Yuriy Fedorov may publish in the future.

Co-authorship network of co-authors of Yuriy Fedorov

This figure shows the co-authorship network connecting the top 25 collaborators of Yuriy Fedorov. A scholar is included among the top collaborators of Yuriy Fedorov 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 Yuriy Fedorov. Yuriy Fedorov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 10
3 9
4 24
5 5
6 11
7 5
8 32
9 14
10 34
11 8
12 3
13 60
14 9
15 152
16 1
17 122
18 251
19 377
20
3′ UTR seed matches, but not overall identity, are associated with RNAi off-targetsbreakdown →
689

About Yuriy Fedorov

Yuriy Fedorov is a scholar working on Cancer Research, Molecular Biology and Developmental Neuroscience, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), MicroRNA in disease regulation (4 papers) and Protein Degradation and Inhibitors (4 papers). The work is most often cited by research in Cancer Research (596 citations), Molecular Biology (1.5k citations) and Aging (14 citations). Yuriy Fedorov has collaborated with scholars based in United States, Japan and Indonesia. Frequent co-authors include Devin Leake, Anastasia Khvorova, Jon Karpilow, Emily M. Anderson, Angela Reynolds, William S. Marshall, Kathryn M. Robinson, Amanda Birmingham, Elena Maksimova and Scott Baskerville. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Nature Neuroscience.

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.

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