Charlotta G. Lebedenko

410 citations
15 papers · 156 indexed · 1 hit paper · h-index 8
Topics
Chemical Synthesis and Analysis (3 papers)Computational Drug Discovery Methods (3 papers)RNA Interference and Gene Delivery (3 papers)

In The Last Decade

Charlotta G. Lebedenko

14 papers receiving 156 citations

Hit Papers

RNA-binding proteins and glycoRNAs form domains on the ce...202520262025510152025

Peers

Charlotta G. Lebedenko
Comparison fields: 5 of 56
  • Molecular Biology 97
  • Biomedical Engineering 21
  • Organic Chemistry 13
  • Biomaterials 13
  • Oncology 12
Replace Ettore Napolitano with:
Ettore Napolitano Italy
Liang Fang United States
Desiree‐Faye Kaixin Toh Singapore
Romualdo Troisi Italy
Takeshi Takazawa Japan
Jing Ye China
Yingchuan Sun China
Shuhuan Wu China
X. Guillory France
Hongmei Wang China
Charlotta G. Lebedenko relative to Ettore Napolitano Italy Ettore Napolitano's profile →
Citations per field
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Citations per year

Countries citing papers authored by Charlotta G. Lebedenko

Since Specialization
Citations

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

Fields of papers citing papers by Charlotta G. Lebedenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charlotta G. Lebedenko. 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 Charlotta G. Lebedenko. The network helps show where Charlotta G. Lebedenko may publish in the future.

Co-authorship network of co-authors of Charlotta G. Lebedenko

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2
RNA-binding proteins and glycoRNAs form domains on the cell surface for cell-penetrating peptide entrybreakdown →
29
3 46
4 1
5 1
6 5
7 2
8 18
9 12
10 8
11 8
12 1
13 17
14 7
15 1

About Charlotta G. Lebedenko

Charlotta G. Lebedenko is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biomaterials, having authored 15 papers that have together received 156 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (3 papers), Computational Drug Discovery Methods (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Structural Biology (2 citations), Molecular Biology (97 citations) and Biomaterials (13 citations). Charlotta G. Lebedenko has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ipsita A. Banerjee, Peiyuan Chai, Ryan A. Flynn, Reese M. Caldwell, Carolyn R. Bertozzi, Yixuan Xie, Benjamin A. Garcia, Christopher Watkins, Nicholas A. Till and Benson M. George. Their work appears in journals such as Nature, Cell and Applied Sciences.

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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