Patima Sdek

1.2k total citations
10 papers, 940 citations indexed

About

Patima Sdek is a scholar working on Molecular Biology, Otorhinolaryngology and Oncology. According to data from OpenAlex, Patima Sdek has authored 10 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Otorhinolaryngology and 3 papers in Oncology. Recurrent topics in Patima Sdek's work include Epigenetics and DNA Methylation (3 papers), Head and Neck Cancer Studies (3 papers) and Cancer-related Molecular Pathways (3 papers). Patima Sdek is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Head and Neck Cancer Studies (3 papers) and Cancer-related Molecular Pathways (3 papers). Patima Sdek collaborates with scholars based in United States, China and United Kingdom. Patima Sdek's co-authors include W. Robb MacLellan, Preeti Ahuja, Zhi-Xiong Jim Xiao, Haoqiang Ying, Hongwu Zheng, Martin J. Allday, Donny L.F. Chang, Wei Qiu, Robert Touitou and Peter C. Butler and has published in prestigious journals such as Journal of Biological Chemistry, Physiological Reviews and The Journal of Cell Biology.

In The Last Decade

Patima Sdek

10 papers receiving 923 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patima Sdek United States	7	764	258	204	154	102	10	940
Lorene Batts United States	7	640 0.8×	102 0.4×	179 0.9×	142 0.9×	41 0.4×	8	806
Manuel Rosa‐Garrido United States	16	740 1.0×	102 0.4×	134 0.7×	182 1.2×	99 1.0×	33	981
Jessica N. Buck United States	5	590 0.8×	142 0.6×	156 0.8×	176 1.1×	54 0.5×	6	994
Nicolas Gadot France	20	520 0.7×	197 0.8×	70 0.3×	49 0.3×	108 1.1×	46	990
Kevin L. Tompkins United States	8	627 0.8×	69 0.3×	125 0.6×	211 1.4×	56 0.5×	8	752
Laura Pajak United States	10	874 1.1×	91 0.4×	305 1.5×	351 2.3×	39 0.4×	14	1.1k
Attila Sebe Hungary	18	685 0.9×	207 0.8×	76 0.4×	46 0.3×	148 1.5×	37	998
Tomohisa Sakaue Japan	13	287 0.4×	91 0.4×	118 0.6×	115 0.7×	78 0.8×	41	570
Muneer G. Hasham United States	16	427 0.6×	135 0.5×	83 0.4×	153 1.0×	103 1.0×	28	803
Asangi R. Kumarapeli United States	12	489 0.6×	107 0.4×	111 0.5×	158 1.0×	38 0.4×	27	688

Countries citing papers authored by Patima Sdek

Since Specialization

Citations

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

Fields of papers citing papers by Patima Sdek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patima Sdek

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

All Works

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10 of 10 papers shown

Oyama, Kyohei, Danny El‐Nachef, Yiqiang Zhang, Patima Sdek, & W. Robb MacLellan. (2014). Epigenetic regulation of cardiac myocyte differentiationâ€ . Frontiers in Genetics. 5. 375–375. 24 indexed citations

Sdek, Patima, et al.. (2013). Epigenetic Regulation of Myogenic Gene Expression by Heterochromatin Protein 1 Alpha. PLoS ONE. 8(3). e58319–e58319. 19 indexed citations

Jiang, Qian, Patima Sdek, Dongxia Ye, et al.. (2011). Upregulation of β2-microglobulin expression in progressive human oral squamous cell carcinoma. Oncology Reports. 27(4). 1058–1064. 6 indexed citations

Sdek, Patima, Yaping Wang, Christopher Y. Ko, et al.. (2011). Rb and p130 control cell cycle gene silencing to maintain the postmitotic phenotype in cardiac myocytes. The Journal of Cell Biology. 194(3). 407–423. 133 indexed citations

Ahuja, Preeti, Patima Sdek, & W. Robb MacLellan. (2007). Cardiac Myocyte Cell Cycle Control in Development, Disease, and Regeneration. Physiological Reviews. 87(2). 521–544. 440 indexed citations

Sdek, Patima, et al.. (2006). Alteration of cell-cycle regulatory proteins in human oral epithelial cells immortalized by HPV16 E6 and E7. International Journal of Oral and Maxillofacial Surgery. 35(7). 653–657. 35 indexed citations

Sdek, Patima, Haoqiang Ying, Donny L.F. Chang, et al.. (2005). MDM2 Promotes Proteasome-Dependent Ubiquitin-Independent Degradation of Retinoblastoma Protein. Molecular Cell. 20(5). 699–708. 214 indexed citations

Sdek, Patima, Haoqiang Ying, Hongwu Zheng, et al.. (2004). The Central Acidic Domain of MDM2 Is Critical in Inhibition of Retinoblastoma-mediated Suppression of E2F and Cell Growth. Journal of Biological Chemistry. 279(51). 53317–53322. 65 indexed citations

Sdek, Patima, Zhiyuan Zhang, & Jun Cao. (2002). [Influence of HPV16 on expression of Rb, p16 and cyclin D1 in oral epithelial cell].. PubMed. 37(2). 84–6. 2 indexed citations

10.

Zhang, Zhiyuan, Patima Sdek, Jun Cao, et al.. (2002). [Establishment of human immortalized oral epithelial cell line HIO615 induced by HPV16 E6 and E7].. PubMed. 37(1). 12–4. 2 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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