Peter Sicinski

945 total citations
9 papers, 680 citations indexed

About

Peter Sicinski is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Peter Sicinski has authored 9 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Peter Sicinski's work include Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (3 papers) and DNA Repair Mechanisms (2 papers). Peter Sicinski is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (3 papers) and DNA Repair Mechanisms (2 papers). Peter Sicinski collaborates with scholars based in United States, United Kingdom and Netherlands. Peter Sicinski's co-authors include Philip W. Hinds, Amit Deshpande, Maria A. Ciemerych, Carla F. Kim, Sima J. Zacharek, Yan Geng, Hans Clevers, Gijs R. van den Brink, Owen J. Sansom and Vanesa Muncan and has published in prestigious journals such as Nature Communications, Genes & Development and Cancer Research.

In The Last Decade

Peter Sicinski

9 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Sicinski United States	9	457	262	113	112	89	9	680
Meiou Dai Canada	15	470 1.0×	300 1.1×	76 0.7×	161 1.4×	92 1.0×	21	703
Kyoung Eun Baek South Korea	13	432 0.9×	218 0.8×	75 0.7×	109 1.0×	69 0.8×	18	633
Chungyoul Choe United States	13	505 1.1×	214 0.8×	63 0.6×	162 1.4×	89 1.0×	20	690
Huijie Yang China	15	501 1.1×	207 0.8×	111 1.0×	155 1.4×	94 1.1×	40	711
Cynthia López‐Haber United States	15	605 1.3×	207 0.8×	171 1.5×	100 0.9×	65 0.7×	19	824
George Wai-Cheong Yip Singapore	14	265 0.6×	265 1.0×	92 0.8×	189 1.7×	129 1.4×	18	646
Lara H. El Touny United States	9	357 0.8×	360 1.4×	119 1.1×	182 1.6×	72 0.8×	12	750
Jenifer R. Prosperi United States	16	532 1.2×	355 1.4×	58 0.5×	184 1.6×	73 0.8×	29	833
Linfang Wang China	13	312 0.7×	133 0.5×	62 0.5×	91 0.8×	107 1.2×	37	575
Denis Alférez United Kingdom	12	340 0.7×	300 1.1×	40 0.4×	127 1.1×	86 1.0×	17	551

Countries citing papers authored by Peter Sicinski

Since Specialization

Citations

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

Fields of papers citing papers by Peter Sicinski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Sicinski

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

All Works

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9 of 9 papers shown

1.

Spitler, Kathryn M., Inês Martins, Antentor Hinton, et al.. (2020). Stress‐Induced Cyclin C Translocation Regulates Cardiac Mitochondrial Dynamics. Journal of the American Heart Association. 9(7). 16 indexed citations

2.

Zheng, Xiao-Feng, Sanket S. Acharya, Kumar Nikhil, et al.. (2019). A mitotic CDK5-PP4 phospho-signaling cascade primes 53BP1 for DNA repair in G1. Nature Communications. 10(1). 4252–4252. 16 indexed citations

3.

Zhou, Jing, John A. Alberta, Scott B. Ficarro, et al.. (2017). A Sequentially Priming Phosphorylation Cascade Activates the Gliomagenic Transcription Factor Olig2. Cell Reports. 18(13). 3167–3177. 24 indexed citations

4.

Martinerie, Laëtitia, Marcia Manterola, Sanny S.W. Chung, et al.. (2014). Mammalian E-type Cyclins Control Chromosome Pairing, Telomere Stability and CDK2 Localization in Male Meiosis. PLoS Genetics. 10(2). e1004165–e1004165. 38 indexed citations

5.

Cole, Alicia M., Kevin Myant, Karen R. Reed, et al.. (2010). Cyclin D2–Cyclin-Dependent Kinase 4/6 Is Required for Efficient Proliferation and Tumorigenesis following Apc Loss. Cancer Research. 70(20). 8149–8158. 65 indexed citations

6.

Zeng, Lingchun, Yan Geng, Maria Tretiakova, et al.. (2008). Peroxisome Proliferator-Activated Receptor-δ Induces Cell Proliferation by a Cyclin E1–Dependent Mechanism and Is Up-regulated in Thyroid Tumors. Cancer Research. 68(16). 6578–6586. 22 indexed citations

7.

Sicinski, Peter, Sima J. Zacharek, & Carla F. Kim. (2007). Duality of p27^Kip1 function in tumorigenesis. Genes & Development. 21(14). 1703–1706. 42 indexed citations

8.

Ciemerych, Maria A. & Peter Sicinski. (2005). Cell cycle in mouse development. Oncogene. 24(17). 2877–2898. 117 indexed citations

9.

Deshpande, Amit, Peter Sicinski, & Philip W. Hinds. (2005). Cyclins and cdks in development and cancer: a perspective. Oncogene. 24(17). 2909–2915. 340 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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