Emanuela Capota

1.3k total citations · 1 hit paper
8 papers, 688 citations indexed

About

Emanuela Capota is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Emanuela Capota has authored 8 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Oncology. Recurrent topics in Emanuela Capota's work include Glycosylation and Glycoproteins Research (3 papers), Peptidase Inhibition and Analysis (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). Emanuela Capota is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Peptidase Inhibition and Analysis (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). Emanuela Capota collaborates with scholars based in United States. Emanuela Capota's co-authors include Deepak Nijhawan, Ting Han, Jiwoong Kim, Yang Xie, Maria Goralski, Noelle S. Williams, Nicholas Gaskill, Tabitha C. Ting, Shae B. Padrick and Joseph M. Ready and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Emanuela Capota

8 papers receiving 676 citations

Hit Papers

Anticancer sulfonamides target splicing by inducing RBM39... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emanuela Capota United States 6 571 152 91 80 65 8 688
Göran Dahl Sweden 14 462 0.8× 147 1.0× 78 0.9× 48 0.6× 32 0.5× 22 677
Daniel J. Burdick United States 13 353 0.6× 77 0.5× 96 1.1× 63 0.8× 46 0.7× 19 613
Attilla Ting United Kingdom 13 267 0.5× 164 1.1× 100 1.1× 40 0.5× 92 1.4× 17 467
Nilesh Zaware United States 12 463 0.8× 102 0.7× 141 1.5× 71 0.9× 60 0.9× 19 625
Maria Goralski United States 4 599 1.0× 175 1.2× 51 0.6× 92 1.1× 56 0.9× 4 684
Frances Potjewyd United States 9 351 0.6× 79 0.5× 57 0.6× 45 0.6× 43 0.7× 14 428
Kevin R. Kupcho United States 10 481 0.8× 104 0.7× 80 0.9× 81 1.0× 28 0.4× 22 707
Marcel Muelbaier Germany 11 689 1.2× 233 1.5× 137 1.5× 107 1.3× 37 0.6× 15 828
Anders Friberg Germany 13 693 1.2× 135 0.9× 168 1.8× 47 0.6× 87 1.3× 18 848
Qiuping Xiang China 12 407 0.7× 118 0.8× 97 1.1× 133 1.7× 63 1.0× 28 623

Countries citing papers authored by Emanuela Capota

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Capota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Capota

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

All Works

8 of 8 papers shown
1.
Wang, Yijie, Yan Chen, Chenliang Wang, et al.. (2021). MIF is a 3’ flap nuclease that facilitates DNA replication and promotes tumor growth. Nature Communications. 12(1). 2954–2954. 31 indexed citations
2.
Shajahan, Asif, Jeong‐Yeh Yang, Emanuela Capota, et al.. (2021). A photo-cross-linking GlcNAc analog enables covalent capture of N-linked glycoprotein-binding partners on the cell surface. Cell chemical biology. 29(1). 84–97.e8. 23 indexed citations
3.
Kakde, Badrinath N., Emanuela Capota, Jennifer J. Kohler, & Uttam K. Tambar. (2021). Synthesis of Cell-Permeable N-Acetylhexosamine 1-Phosphates. The Journal of Organic Chemistry. 86(24). 18257–18264. 3 indexed citations
4.
Capota, Emanuela, et al.. (2021). Photocrosslinking O‐GlcNAcylated Proteins to Neighboring Biomolecules. Current Protocols. 1(7). e201–e201. 1 indexed citations
5.
Capota, Emanuela, Xiaoyu Wang, Hong Chen, et al.. (2018). Discovery of Cytochrome P450 4F11 Activated Inhibitors of Stearoyl Coenzyme A Desaturase. Journal of Medicinal Chemistry. 61(12). 5199–5221. 23 indexed citations
6.
Han, Ting, Maria Goralski, Nicholas Gaskill, et al.. (2017). Anticancer sulfonamides target splicing by inducing RBM39 degradation via recruitment to DCAF15. Science. 356(6336). 511 indexed citations breakdown →
7.
Han, Ting, Maria Goralski, Emanuela Capota, et al.. (2016). The antitumor toxin CD437 is a direct inhibitor of DNA polymerase α. Nature Chemical Biology. 12(7). 511–515. 80 indexed citations
8.
Zhao, Hongda, Wei Qi, Thomas Lacour, et al.. (2008). Acid Promoted Cinnamyl Ion Mobility within Peptide Derived Macrocycles. Journal of the American Chemical Society. 130(42). 13864–13866. 16 indexed citations

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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