Peter Tsvetkov

8.6k total citations · 2 hit papers
40 papers, 5.5k citations indexed

About

Peter Tsvetkov is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Peter Tsvetkov has authored 40 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Peter Tsvetkov's work include Ubiquitin and proteasome pathways (16 papers), Cancer-related Molecular Pathways (7 papers) and Mitochondrial Function and Pathology (5 papers). Peter Tsvetkov is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Cancer-related Molecular Pathways (7 papers) and Mitochondrial Function and Pathology (5 papers). Peter Tsvetkov collaborates with scholars based in Israel, United States and Canada. Peter Tsvetkov's co-authors include Yosef Shaul, Todd R. Golub, Sandro Santagata, Jordan Rossen, Mustafa Kocak, Svetlana Lutsenko, Boryana Petrova, Naama Kanarek, Gad Asher and Evgeni M. Frenkel and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Peter Tsvetkov

39 papers receiving 5.4k citations

Hit Papers

Copper induces cell death by targeting lipoylated... 2019 2026 2021 2023 2022 2019 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Tsvetkov Israel 27 3.3k 1.4k 1.3k 897 770 40 5.5k
Naama Kanarek United States 17 2.6k 0.8× 1.2k 0.9× 1.6k 1.3× 766 0.9× 609 0.8× 28 5.0k
Boryana Petrova United States 17 2.0k 0.6× 1.1k 0.8× 1.1k 0.9× 504 0.6× 595 0.8× 31 4.0k
Jordan Rossen United States 4 1.8k 0.5× 1.3k 0.9× 1.1k 0.9× 584 0.7× 661 0.9× 5 3.7k
John K. Eaton United States 9 3.3k 1.0× 3.0k 2.2× 2.5k 1.9× 825 0.9× 655 0.9× 9 5.8k
Evgeni M. Frenkel United States 5 1.6k 0.5× 1.1k 0.8× 981 0.8× 430 0.5× 528 0.7× 6 3.3k
Isaac S. Harris United States 23 6.0k 1.8× 1.2k 0.8× 3.6k 2.8× 1.3k 1.5× 293 0.4× 39 9.5k
Mustafa Kocak United States 4 1.7k 0.5× 1.3k 0.9× 1.1k 0.9× 528 0.6× 661 0.9× 8 3.6k
Steven M. Corsello United States 6 1.6k 0.5× 1.2k 0.9× 1.0k 0.8× 569 0.6× 528 0.7× 12 3.3k
Jinbao Liu China 27 2.3k 0.7× 1.4k 1.0× 1.2k 0.9× 684 0.8× 294 0.4× 64 3.8k
Gina M. DeNicola United States 28 4.5k 1.4× 781 0.6× 2.2k 1.7× 843 0.9× 225 0.3× 57 5.9k

Countries citing papers authored by Peter Tsvetkov

Since Specialization
Citations

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

Fields of papers citing papers by Peter Tsvetkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Tsvetkov

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Tsvetkov. A scholar is included among the top collaborators of Peter Tsvetkov 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 Peter Tsvetkov. Peter Tsvetkov 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
1.
Conradt, Barbara, Edward A. Miao, Junying Yuan, et al.. (2024). The story behind the emergence of different forms of cell death. Developmental Cell. 59(19). 2519–2522. 1 indexed citations
2.
Bick, Nolan, et al.. (2024). Engineered bacterial lipoate protein ligase A (lplA) restores lipoylation in cell models of lipoylation deficiency. Journal of Biological Chemistry. 300(12). 107995–107995. 3 indexed citations
3.
Lutsenko, Svetlana, et al.. (2024). Mammalian copper homeostasis: physiological roles and molecular mechanisms. Physiological Reviews. 105(1). 441–491. 42 indexed citations
4.
Bick, Nolan, Boryana Petrova, Douglas M. Warui, et al.. (2023). FDX1 regulates cellular protein lipoylation through direct binding to LIAS. Journal of Biological Chemistry. 299(9). 105046–105046. 112 indexed citations
5.
Tsvetkov, Peter, Julia Adler, Yaarit Adamovich, et al.. (2021). NQO1 Binds and Supports SIRT1 Function. Frontiers in Pharmacology. 12. 671929–671929. 13 indexed citations
6.
Pinheiro, Inês, Allison C. Mallory, Peter Tsvetkov, et al.. (2019). In-cell identification and measurement of RNA-protein interactions. Nature Communications. 10(1). 5317–5317. 40 indexed citations
7.
Tsvetkov, Peter, Alexandre Detappe, Kai Cai, et al.. (2019). Mitochondrial metabolism promotes adaptation to proteotoxic stress. Nature Chemical Biology. 15(7). 681–689. 436 indexed citations breakdown →
8.
Tsvetkov, Peter, et al.. (2018). Oncogenic addiction to high 26S proteasome level. Cell Death and Disease. 9(7). 773–773. 54 indexed citations
9.
Newby, Gregory A., Szilvia Kiriakov, Erinc Hallacli, et al.. (2017). A Genetic Tool to Track Protein Aggregates and Control Prion Inheritance. Cell. 171(4). 966–979.e18. 45 indexed citations
10.
Tsvetkov, Peter, Nadav Myers, Yaarit Adamovich, et al.. (2014). NADH Binds and Stabilizes the 26S Proteasomes Independent of ATP. Journal of Biological Chemistry. 289(16). 11272–11281. 33 indexed citations
11.
Moscovitz, Oren, Peter Tsvetkov, Izhak Michaelevski, et al.. (2012). A Mutually Inhibitory Feedback Loop between the 20S Proteasome and Its Regulator, NQO1. Molecular Cell. 47(1). 76–86. 93 indexed citations
12.
Tsvetkov, Peter & Yosef Shaul. (2012). Determination of IUP Based on Susceptibility for Degradation by Default. Methods in molecular biology. 895. 3–18. 7 indexed citations
13.
Tsvetkov, Peter, Nadav Myers, Oren Moscovitz, et al.. (2011). Thermo-resistant intrinsically disordered proteins are efficient 20S proteasome substrates. Molecular BioSystems. 8(1). 368–373. 37 indexed citations
14.
Tsvetkov, Peter, Nina Reuven, & Yosef Shaul. (2009). Ubiquitin-independent p53 proteasomal degradation. Cell Death and Differentiation. 17(1). 103–108. 102 indexed citations
15.
Tsvetkov, Peter, Nina Reuven, & Yosef Shaul. (2009). The nanny model for IDPs. Nature Chemical Biology. 5(11). 778–781. 97 indexed citations
16.
Tsvetkov, Peter, Nina Reuven, Carol Prives, & Yosef Shaul. (2009). Susceptibility of p53 Unstructured N Terminus to 20 S Proteasomal Degradation Programs the Stress Response. Journal of Biological Chemistry. 284(39). 26234–26242. 50 indexed citations
17.
Tsvetkov, Peter, Gad Asher, Aviv Paz, et al.. (2007). Operational definition of intrinsically unstructured protein sequences based on susceptibility to the 20S proteasome. Proteins Structure Function and Bioinformatics. 70(4). 1357–1366. 87 indexed citations
18.
Elliott, Evan, Peter Tsvetkov, & Irith Ginzburg. (2007). BAG-1 Associates with Hsc70·Tau Complex and Regulates the Proteasomal Degradation of Tau Protein. Journal of Biological Chemistry. 282(51). 37276–37284. 83 indexed citations
19.
Asher, Gad, Z. Bercovich, Peter Tsvetkov, Yosef Shaul, & Chaim Kahana. (2005). 20S Proteasomal Degradation of Ornithine Decarboxylase Is Regulated by NQO1. Molecular Cell. 17(5). 645–655. 129 indexed citations
20.
Tsvetkov, Peter, et al.. (1984). [Immunofluorescent diagnosis of rota-, corona- and pestivirus infections in calves].. PubMed. 21(9). 12–20. 1 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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