A Varshavsky

2.8k total citations · 2 hit papers
12 papers, 2.3k citations indexed

About

A Varshavsky is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, A Varshavsky has authored 12 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in A Varshavsky's work include Ubiquitin and proteasome pathways (6 papers), RNA modifications and cancer (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). A Varshavsky is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), RNA modifications and cancer (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). A Varshavsky collaborates with scholars based in United States, Slovakia and Tajikistan. A Varshavsky's co-authors include Aaron Ciechanover, Avram Hershko, Mark J. Solomon, Pamela L. Larsen, Kiran Madura, David K. Gonda, Louis Levinger, Georgii P. Georgiev, Yurii V. Ilyin and Frédéric Lévy and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

A Varshavsky

12 papers receiving 2.2k citations

Hit Papers

The N-end rule: functions, mysteries, uses. 1996 2026 2006 2016 1996 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A Varshavsky United States 10 2.0k 439 311 252 201 12 2.3k
David K. Gonda United States 14 2.4k 1.2× 635 1.4× 430 1.4× 451 1.8× 347 1.7× 15 2.6k
Robert Schimke United States 18 1.5k 0.7× 323 0.7× 321 1.0× 321 1.3× 217 1.1× 25 2.2k
Mitsuhiro Yanagida Japan 12 2.4k 1.2× 267 0.6× 456 1.5× 262 1.0× 142 0.7× 15 2.8k
Kathleen Becherer United States 11 1.9k 1.0× 308 0.7× 594 1.9× 281 1.1× 86 0.4× 14 2.3k
Friedrich Grummt Germany 27 1.8k 0.9× 393 0.9× 157 0.5× 456 1.8× 105 0.5× 76 2.4k
Paul L. Bartel United States 15 2.8k 1.4× 543 1.2× 454 1.5× 517 2.1× 113 0.6× 18 3.3k
Joachim Stahl Germany 26 2.3k 1.1× 254 0.6× 296 1.0× 141 0.6× 89 0.4× 62 2.6k
Irene M. Ota United States 19 2.3k 1.1× 232 0.5× 568 1.8× 195 0.8× 274 1.4× 23 2.6k
William R. Taylor United States 24 2.0k 1.0× 247 0.6× 347 1.1× 245 1.0× 144 0.7× 66 2.7k
Paul A. Fisher United States 36 3.2k 1.6× 239 0.5× 527 1.7× 461 1.8× 73 0.4× 86 3.5k

Countries citing papers authored by A Varshavsky

Since Specialization
Citations

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

Fields of papers citing papers by A Varshavsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Varshavsky

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

All Works

12 of 12 papers shown
1.
Varshavsky, A. (2002). Recent studies of the ubiquitin system and the N-end rule pathway.. PubMed. 96. 93–116. 20 indexed citations
2.
Hershko, Avram, Aaron Ciechanover, & A Varshavsky. (2000). The ubiquitin system. Nature Medicine. 6(10). 1073–1081. 542 indexed citations breakdown →
3.
Lévy, Frédéric, Jennifer Johnston, & A Varshavsky. (1999). Analysis of a conditional degradation signal in yeast and mammalian cells. European Journal of Biochemistry. 259(1-2). 244–252. 41 indexed citations
4.
Varshavsky, A. (1996). The N-end rule: functions, mysteries, uses.. Proceedings of the National Academy of Sciences. 93(22). 12142–12149. 705 indexed citations breakdown →
5.
Madura, Kiran & A Varshavsky. (1994). Degradation of G alpha by the N-end rule pathway. Science. 265(5177). 1454–1458. 139 indexed citations
6.
Gonda, David K., et al.. (1990). Cis-trans recognition and subunit-specific degradation of short-lived proteins. Nature. 346(6281). 287–291. 130 indexed citations
7.
Varshavsky, A, et al.. (1989). Targeting of proteins for degradation.. PubMed. 13. 109–43. 11 indexed citations
8.
Solomon, Mark J., Pamela L. Larsen, & A Varshavsky. (1988). Mapping proteinDNA interactions in vivo with formaldehyde: Evidence that histone H4 is retained on a highly transcribed gene. Cell. 53(6). 937–947. 466 indexed citations
9.
Ciechanover, Aaron, Daniel Finley, & A Varshavsky. (1985). Mammalian cell cycle mutant defective in intracellular protein degradation and ubiquitin-protein conjugation.. PubMed. 180. 17–31. 7 indexed citations
10.
Levinger, Louis & A Varshavsky. (1981). Heat-shock proteins of Drosophila are associated with nuclease-resistant, high-salt-resistant nuclear structures.. The Journal of Cell Biology. 90(3). 793–796. 71 indexed citations
11.
Varshavsky, A, et al.. (1971). Collapse of extended deoxyribonucleoprotein molecules upon increase of the ionic strength of solution. Biochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis. 246(3). 583–588. 6 indexed citations
12.
Ilyin, Yurii V., et al.. (1971). Studies on Deoxyribonucleoprotein Structure. European Journal of Biochemistry. 22(2). 235–245. 135 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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