Sarah A. Slavoff

4.2k total citations · 2 hit papers
38 papers, 2.2k citations indexed

About

Sarah A. Slavoff is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Sarah A. Slavoff has authored 38 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Organic Chemistry. Recurrent topics in Sarah A. Slavoff's work include RNA and protein synthesis mechanisms (27 papers), RNA modifications and cancer (16 papers) and RNA Research and Splicing (8 papers). Sarah A. Slavoff is often cited by papers focused on RNA and protein synthesis mechanisms (27 papers), RNA modifications and cancer (16 papers) and RNA Research and Splicing (8 papers). Sarah A. Slavoff collaborates with scholars based in United States, China and Japan. Sarah A. Slavoff's co-authors include Zhenkun Na, Yang Luo, Alan Saghatelian, Bogdan Budnik, Jiao Ma, Alexandra Khitun, Adam G. Schwaid, Joshua Z. Levin, John L. Rinn and Amir Karger and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Sarah A. Slavoff

36 papers receiving 2.1k citations

Hit Papers

Peptidomic discovery of short open reading frame–encoded ... 2012 2026 2016 2021 2012 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah A. Slavoff United States 22 1.9k 431 130 129 124 38 2.2k
Benedikt M. Beckmann Germany 16 2.6k 1.3× 459 1.1× 56 0.4× 141 1.1× 34 0.3× 18 2.8k
Arne H. Smits Netherlands 18 1.6k 0.8× 121 0.3× 182 1.4× 207 1.6× 135 1.1× 19 2.0k
Jean‐François Lucier Canada 19 1.6k 0.8× 218 0.5× 80 0.6× 84 0.7× 92 0.7× 34 2.0k
Bora Uyar Germany 18 1.6k 0.8× 108 0.3× 109 0.8× 157 1.2× 100 0.8× 23 1.9k
Catherine A. Musselman United States 31 2.6k 1.3× 101 0.2× 219 1.7× 196 1.5× 71 0.6× 50 2.9k
Len C. Packman United Kingdom 20 1.0k 0.5× 78 0.2× 169 1.3× 235 1.8× 119 1.0× 23 1.6k
Tharan Srikumar Canada 25 1.8k 0.9× 311 0.7× 417 3.2× 236 1.8× 55 0.4× 35 2.3k
Yonathan Lissanu Deribe United States 8 1.2k 0.6× 275 0.6× 346 2.7× 390 3.0× 78 0.6× 12 1.5k
Daniel N. Itzhak Germany 13 1.3k 0.7× 134 0.3× 98 0.8× 123 1.0× 348 2.8× 15 1.8k
Katrin Eichelbaum Germany 11 2.7k 1.4× 516 1.2× 94 0.7× 230 1.8× 123 1.0× 12 2.9k

Countries citing papers authored by Sarah A. Slavoff

Since Specialization
Citations

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

Fields of papers citing papers by Sarah A. Slavoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah A. Slavoff

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah A. Slavoff. A scholar is included among the top collaborators of Sarah A. Slavoff 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 Sarah A. Slavoff. Sarah A. Slavoff 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.
Zheng, Shu-Jian, Haomiao Su, Lichong Yan, et al.. (2025). The ERVK3-1 Microprotein Interacts with the HUSH Complex. Biochemistry. 64(15). 3372–3381.
2.
Bacchiocchi, Antonella, Michael Mak, Xiangyu Gong, et al.. (2025). LZTR1 is a melanoma oncogene that promotes invasion and suppresses apoptosis. Oncogene. 44(41). 3974–3984.
3.
Chen, Yanran, Xiongwen Cao, Ken H. Loh, & Sarah A. Slavoff. (2023). Chemical labeling and proteomics for characterization of unannotated small and alternative open reading frame-encoded polypeptides. Biochemical Society Transactions. 51(3). 1071–1082. 7 indexed citations
4.
Slavoff, Sarah A., et al.. (2023). Noncoding translation: Quality control in the BAG. Molecular Cell. 83(12). 1967–1969. 1 indexed citations
5.
Slavoff, Sarah A., et al.. (2023). Microproteins—Discovery, structure, and function. PROTEOMICS. 23(23-24). e2100211–e2100211. 20 indexed citations
6.
Chen, Yanran, Haomiao Su, Jianing Zhao, et al.. (2023). Unannotated microprotein EMBOW regulates the interactome and chromatin and mitotic functions of WDR5. Cell Reports. 42(9). 113145–113145. 14 indexed citations
7.
Dai, Xiaoyun, Jonathan J. Park, Yaying Du, et al.. (2023). Massively parallel knock-in engineering of human T cells. Nature Biotechnology. 41(9). 1239–1255. 34 indexed citations
8.
Cao, Xiongwen, et al.. (2022). Nascent alt-protein chemoproteomics reveals a pre-60S assembly checkpoint inhibitor. Nature Chemical Biology. 18(6). 643–651. 20 indexed citations
9.
Na, Zhenkun, Xiaoyun Dai, Shu-Jian Zheng, et al.. (2022). Mapping subcellular localizations of unannotated microproteins and alternative proteins with MicroID. Molecular Cell. 82(15). 2900–2911.e7. 34 indexed citations
10.
Cao, Xiongwen, Alexandra Khitun, Yang Luo, et al.. (2021). Alt-RPL36 downregulates the PI3K-AKT-mTOR signaling pathway by interacting with TMEM24. Nature Communications. 12(1). 508–508. 33 indexed citations
11.
Cao, Xiongwen & Sarah A. Slavoff. (2020). Non-AUG start codons: Expanding and regulating the small and alternative ORFeome. Experimental Cell Research. 391(1). 111973–111973. 51 indexed citations
12.
Luo, Yang, et al.. (2020). Discovery of cellular substrates of human RNA-decapping enzyme DCP2 using a stapled bicyclic peptide inhibitor. Cell chemical biology. 28(4). 463–474.e7. 17 indexed citations
13.
Luo, Yang, Jeremy A. Schofield, Matthew D. Simon, & Sarah A. Slavoff. (2020). Global Profiling of Cellular Substrates of Human Dcp2. Biochemistry. 59(43). 4176–4188. 23 indexed citations
14.
Khitun, Alexandra, et al.. (2019). Small open reading frames and cellular stress responses. Molecular Omics. 15(2). 108–116. 58 indexed citations
15.
D’Lima, Nadia G., Alexandra Khitun, Brandon M. Gassaway, et al.. (2017). Comparative Proteomics Enables Identification of Nonannotated Cold Shock Proteins in E. coli. Journal of Proteome Research. 16(10). 3722–3731. 26 indexed citations
16.
D’Lima, Nadia G., Jiao Ma, Lauren Winkler, et al.. (2016). A human microprotein that interacts with the mRNA decapping complex. Nature Chemical Biology. 13(2). 174–180. 216 indexed citations
17.
Ma, Jiao, Carl Ward, Irwin Jungreis, et al.. (2015). Discovery of Human sORF-Encoded\nPolypeptides (SEPs)\nin Cell Lines and Tissue. Figshare. 1 indexed citations
18.
Ma, Jiao, Carl Ward, Irwin Jungreis, et al.. (2014). Discovery of Human sORF-Encoded Polypeptides (SEPs) in Cell Lines and Tissue. PubMed Central. 140 indexed citations
19.
Slavoff, Sarah A., Jinho Heo, Bogdan Budnik, Leslyn A. Hanakahi, & Alan Saghatelian. (2014). A Human Short Open Reading Frame (sORF)-encoded Polypeptide That Stimulates DNA End Joining. Journal of Biological Chemistry. 289(16). 10950–10957. 125 indexed citations
20.
Slavoff, Sarah A., Andrew J. Mitchell, Adam G. Schwaid, et al.. (2012). Peptidomic discovery of short open reading frame–encoded peptides in human cells. Nature Chemical Biology. 9(1). 59–64. 484 indexed citations breakdown →

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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