Serena J. Silver

14.7k total citations
25 papers, 1.9k citations indexed

About

Serena J. Silver is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Serena J. Silver has authored 25 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cell Biology. Recurrent topics in Serena J. Silver's work include Ubiquitin and proteasome pathways (4 papers), Developmental Biology and Gene Regulation (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Serena J. Silver is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Developmental Biology and Gene Regulation (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Serena J. Silver collaborates with scholars based in United States, Australia and Switzerland. Serena J. Silver's co-authors include Ilaria Rebay, David E. Root, Tina L. Tootle, Norbert Perrimon, Erin L. Davies, Anna C. Schinzel, Bernard Mathey-Prévôt, William C. Hahn, Pengyu Hong and Adam Friedman and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Serena J. Silver

23 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serena J. Silver United States 12 1.5k 243 215 204 197 25 1.9k
Susan M. Janicki United States 21 2.6k 1.8× 346 1.4× 152 0.7× 180 0.9× 244 1.2× 29 3.0k
Katrin E. Wiese Germany 7 1.2k 0.8× 205 0.8× 158 0.7× 174 0.9× 232 1.2× 11 1.5k
Winfried Wiegraebe United States 9 1.1k 0.8× 197 0.8× 95 0.4× 448 2.2× 269 1.4× 11 2.1k
Irina Issaeva Israel 11 2.4k 1.7× 197 0.8× 234 1.1× 146 0.7× 107 0.5× 13 2.9k
Tom D. Bunney United Kingdom 28 1.9k 1.3× 183 0.8× 142 0.7× 141 0.7× 428 2.2× 46 2.7k
Toshifumi Morimura Japan 20 1.6k 1.1× 406 1.7× 190 0.9× 296 1.5× 456 2.3× 32 2.6k
Sergi Regot United States 18 1.9k 1.3× 208 0.9× 287 1.3× 191 0.9× 284 1.4× 27 2.3k
Jan Philipp Junker Germany 24 1.9k 1.3× 203 0.8× 292 1.4× 162 0.8× 267 1.4× 41 2.4k
Karin Ridderstråle Sweden 6 1.9k 1.3× 426 1.8× 200 0.9× 56 0.3× 448 2.3× 6 2.5k
Federica Piccioni United States 27 2.1k 1.4× 677 2.8× 387 1.8× 99 0.5× 608 3.1× 49 3.0k

Countries citing papers authored by Serena J. Silver

Since Specialization
Citations

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

Fields of papers citing papers by Serena J. Silver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Serena J. Silver. 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 Serena J. Silver. The network helps show where Serena J. Silver may publish in the future.

Co-authorship network of co-authors of Serena J. Silver

This figure shows the co-authorship network connecting the top 25 collaborators of Serena J. Silver. A scholar is included among the top collaborators of Serena J. Silver 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 Serena J. Silver. Serena J. Silver 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.
Sparling, Brian A., Hyelee Lee, Simina Grigoriu, et al.. (2025). Discovery of Kinesin KIF18A Inhibitor ATX020: Tactical Application of Silicon Atom Replacement. ACS Medicinal Chemistry Letters. 16(11). 2309–2319.
2.
Daniels, Matthew H., David Brennan, Brian Johnston, et al.. (2024). Abstract PR003: DHX9 inhibition as a novel therapeutic for ovarian and breast cancer with loss-of-function mutations in the DNA damage repair genes BRCA1 or BRCA2. Cancer Research. 84(1_Supplement). PR003–PR003.
3.
Argikar, Upendra A., Markus Blatter, Dallas Bednarczyk, et al.. (2022). Paradoxical Increase of Permeability and Lipophilicity with the Increasing Topological Polar Surface Area within a Series of PRMT5 Inhibitors. Journal of Medicinal Chemistry. 65(18). 12386–12402. 9 indexed citations
4.
Xie, Keqiang, Mark J. Roth, Ivan Efremov, et al.. (2021). Ftx-6058 Induces Fetal Hemoglobin Production and Ameliorates Disease Pathology in Sickle Cell Mice. Blood. 138(Supplement 1). 2018–2018. 6 indexed citations
5.
Xie, Keqiang, Mark J. Roth, Ivan Efremov, et al.. (2020). In Vivo Characterization of Ftx-6058, a Novel Small Molecular Fetal Hemoglobin Inducer for Sickle Cell Disease. Blood. 136(Supplement 1). 26–27. 3 indexed citations
6.
Griner, Lesley A. Mathews, Huyen Nguyen, David R. Farley, et al.. (2018). Generation of High-Throughput Three-Dimensional Tumor Spheroids for Drug Screening. Journal of Visualized Experiments. 3 indexed citations
7.
Griner, Lesley A. Mathews, Huyen Thi Lam Nguyen, David Farley, et al.. (2018). Generation of High-Throughput Three-Dimensional Tumor Spheroids for Drug Screening. Journal of Visualized Experiments. 9 indexed citations
8.
Hoffman, Ann F., Kaylene J. Simpson, Péter Horváth, et al.. (2017). SBI 2 HCS/HCA 3D Imaging: Best Practices and Unmet Needs Colloquium. Assay and Drug Development Technologies. 15(1). 1–7. 2 indexed citations
9.
Kim, So Young, Ian F. Dunn, Ron Firestein, et al.. (2010). CK1ε Is Required for Breast Cancers Dependent on β-Catenin Activity. PLoS ONE. 5(2). e8979–e8979. 66 indexed citations
10.
Wen, Qiang, Serena J. Silver, Vlado Dančík, et al.. (2010). A Kinome shRNA Screen to Identify Pathways That Regulate Megakaryocyte Polyploidization and New Targets for Differentiation Therapy. Blood. 116(21). 89–89. 2 indexed citations
11.
Hahn, Cynthia K., Jacob E. Berchuck, Kenneth N. Ross, et al.. (2009). Proteomic and Genetic Approaches Identify Syk as an AML Target. Cancer Cell. 16(4). 281–294. 120 indexed citations
12.
Scholl, Claudia, Stefan Fröhling, Ian F. Dunn, et al.. (2009). Synthetic Lethal Interaction between Oncogenic KRAS Dependency and STK33 Suppression in Human Cancer Cells. Cell. 137(5). 821–834. 416 indexed citations
13.
Shapira, Sagi, Irit Gat‐Viks, Bennett O. V. Shum, et al.. (2009). A Physical and Regulatory Map of Host-Influenza Interactions Reveals Pathways in H1N1 Infection. Cell. 139(7). 1255–1267. 11 indexed citations
14.
Silver, Serena J., Joshua W. Hagen, Katsutomo Okamura, Norbert Perrimon, & Eric C. Lai. (2007). Functional screening identifies miR-315 as a potent activator of Wingless signaling. Proceedings of the National Academy of Sciences. 104(46). 18151–18156. 80 indexed citations
15.
Kulkarni, Meghana, Matthew A. Booker, Serena J. Silver, et al.. (2006). Evidence of off-target effects associated with long dsRNAs in Drosophila melanogaster cell-based assays. Nature Methods. 3(10). 833–838. 239 indexed citations
16.
Rebay, Ilaria, Serena J. Silver, & Tina L. Tootle. (2005). New vision from Eyes absent: transcription factors as enzymes. Trends in Genetics. 21(3). 163–171. 74 indexed citations
18.
Silver, Serena J. & Ilaria Rebay. (2004). Signaling circuitries in development: insights from the retinal determination gene network. Development. 132(1). 3–13. 153 indexed citations
19.
Tootle, Tina L., Serena J. Silver, Erin L. Davies, et al.. (2003). The transcription factor Eyes absent is a protein tyrosine phosphatase. Nature. 426(6964). 299–302. 205 indexed citations
20.
Mitchell, R., et al.. (1988). Addition of growth hormone secretion signal to basic fibroblast growth factor results in cell transformation and secretion of aberrant forms of the protein.. PubMed. 3(2). 129–36. 85 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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