Natalia Shpiro

7.1k citations
36 papers · 5.8k indexed · 1 hit paper · h-index 26
Topics
Ubiquitin and proteasome pathways (11 papers)Protein Degradation and Inhibitors (7 papers)PI3K/AKT/mTOR signaling in cancer (5 papers)

In The Last Decade

Natalia Shpiro

36 papers receiving 5.7k citations

Hit Papers

The selectivity of protein kinase inhibitors: a further u...2007202620132019200750010001.5k2.0k

Peers

Natalia Shpiro
Comparison fields: 5 of 117
  • Molecular Biology 4.3k
  • Oncology 970
  • Immunology 755
  • Cell Biology 742
  • Surgery 656
Replace Tung O. Chan with:
Tung O. Chan United States
Andrea Graziani Italy
Ching-Shih Chen United States
Futoshi Shibasaki Japan
Matilde Caivano United Kingdom
Jeffrey P. MacKeigan United States
Tuula Kallunki Denmark
Nicholas Joza France
Kevin D. Brown United States
Ainara Egia United States
Natalia Shpiro relative to Tung O. Chan United States Tung O. Chan's profile →
Citations per field
00.5×4.5×
Tung O. Chan · 1×
Citations per year

Countries citing papers authored by Natalia Shpiro

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Shpiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Shpiro

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Shpiro. A scholar is included among the top collaborators of Natalia Shpiro 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 Natalia Shpiro. Natalia Shpiro 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 3
2 4
3 52
4 18
5 74
6 73
7 3
8 105
9 53
10 35
11 16
12 353
13 94
14 102
15 3
16 258
17 496
18 166
19 40
20 286

About Natalia Shpiro

Natalia Shpiro is a scholar working on Molecular Biology, Cancer Research and Immunology, having authored 36 papers that have together received 5.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (11 papers), Protein Degradation and Inhibitors (7 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Cell Biology (742 citations) and Cancer Research (581 citations). Natalia Shpiro has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Dario R. Alessi, Philip Cohen, Jenny Bain, J. Simon C. Arthur, C. James Hastie, Hilary McLauchlan, Matt Elliott, Iva Klevernic, Rodolfo Márquez and Kei Sakamoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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