Rivka Dikstein

3.0k total citations
61 papers, 2.3k citations indexed

About

Rivka Dikstein is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Rivka Dikstein has authored 61 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 20 papers in Cancer Research and 16 papers in Immunology. Recurrent topics in Rivka Dikstein's work include RNA Research and Splicing (23 papers), RNA and protein synthesis mechanisms (22 papers) and RNA modifications and cancer (17 papers). Rivka Dikstein is often cited by papers focused on RNA Research and Splicing (23 papers), RNA and protein synthesis mechanisms (22 papers) and RNA modifications and cancer (17 papers). Rivka Dikstein collaborates with scholars based in Israel, United States and France. Rivka Dikstein's co-authors include Robert Tjian, Yosef Shaul, Orit Wolstein, Nadav Bar, Siegfried Ruppert, Ouriel Faktor, Ora Haimov, Sharleen Zhou, Idit Shachar and Elena Ainbinder and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Rivka Dikstein

59 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rivka Dikstein Israel 28 1.7k 400 383 299 198 61 2.3k
Antje Ostareck‐Lederer Germany 28 2.4k 1.4× 247 0.6× 364 1.0× 156 0.5× 135 0.7× 41 2.9k
Dirk H. Ostareck Germany 24 1.9k 1.1× 226 0.6× 328 0.9× 137 0.5× 124 0.6× 35 2.4k
Androulla Elia United Kingdom 15 849 0.5× 376 0.9× 187 0.5× 205 0.7× 98 0.5× 22 1.4k
Tokameh Mahmoudi Netherlands 27 2.4k 1.4× 383 1.0× 175 0.5× 121 0.4× 252 1.3× 56 3.2k
Lev P. Ovchinnikov Russia 35 3.9k 2.2× 450 1.1× 459 1.2× 159 0.5× 313 1.6× 87 4.5k
Chyi‐Ying A. Chen United States 17 3.5k 2.0× 533 1.3× 775 2.0× 136 0.5× 262 1.3× 19 4.2k
Stéphanie Pébernard Switzerland 17 1.7k 1.0× 231 0.6× 210 0.5× 156 0.5× 362 1.8× 25 2.0k
Adrian R. Krainer United States 29 4.2k 2.4× 269 0.7× 793 2.1× 168 0.6× 242 1.2× 48 4.6k
Serafı́n Piñol-Roma United States 20 2.9k 1.7× 238 0.6× 211 0.6× 127 0.4× 228 1.2× 21 3.4k
John R. Doedens United States 12 1.2k 0.7× 244 0.6× 160 0.4× 139 0.5× 117 0.6× 17 1.9k

Countries citing papers authored by Rivka Dikstein

Since Specialization
Citations

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

Fields of papers citing papers by Rivka Dikstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rivka Dikstein

This figure shows the co-authorship network connecting the top 25 collaborators of Rivka Dikstein. A scholar is included among the top collaborators of Rivka Dikstein 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 Rivka Dikstein. Rivka Dikstein 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.
Bahat, Anat, et al.. (2023). Translation regulation of specific mRNAs by RPS26 C-terminal RNA-binding tail integrates energy metabolism and AMPK-mTOR signaling. Nucleic Acids Research. 51(9). 4415–4428. 3 indexed citations
2.
Slobodin, Boris, B. M. Zuckerman, Amir Ben‐Shmuel, et al.. (2022). Cap-independent translation and a precisely located RNA sequence enable SARS-CoV-2 to control host translation and escape anti-viral response. Nucleic Acids Research. 50(14). 8080–8092. 26 indexed citations
3.
4.
Bahat, Anat, et al.. (2019). Targeting Spt5-Pol II by Small-Molecule Inhibitors Uncouples Distinct Activities and Reveals Additional Regulatory Roles. Molecular Cell. 76(4). 617–631.e4. 19 indexed citations
5.
Plotnikov, A.N., et al.. (2017). Effective cell-free drug screening protocol for protein-protein interaction. Analytical Biochemistry. 532. 53–59. 8 indexed citations
6.
Bahat, Anat, Ora Haimov, Shwu-Yuan Wu, et al.. (2015). DTIE, a novel core promoter element that directs start site selection in TATA-less genes. Nucleic Acids Research. 44(3). 1080–1094. 9 indexed citations
7.
8.
Schechtman, Edna, et al.. (2014). Co-occurrence of transcription and translation gene regulatory features underlies coordinated mRNA and protein synthesis. BMC Genomics. 15(1). 688–688. 20 indexed citations
9.
Avnit-Sagi, Tali, et al.. (2013). Disparity between microRNA levels and promoter strength is associated with initiation rate and Pol II pausing. Nature Communications. 4(1). 2118–2118. 11 indexed citations
10.
Dikstein, Rivka. (2011). The unexpected traits associated with core promoter elements. Transcription. 2(5). 201–206. 38 indexed citations
11.
Emmanuel, Rafi, et al.. (2011). Identification of CTCF as a master regulator of the clustered protocadherin genes. Nucleic Acids Research. 40(8). 3378–3391. 49 indexed citations
12.
Moshonov, Sandra, et al.. (2009). TAF4/4b·TAF12 Displays a Unique Mode of DNA Binding and Is Required for Core Promoter Function of a Subset of Genes. Journal of Biological Chemistry. 284(39). 26286–26296. 29 indexed citations
13.
Dikstein, Rivka, et al.. (2008). A Translation Initiation Element Specific to mRNAs with Very Short 5′UTR that Also Regulates Transcription. PLoS ONE. 3(8). e3094–e3094. 75 indexed citations
14.
Amir-Zilberstein, Liat & Rivka Dikstein. (2007). Interplay between E-box and NF-κB in Regulation of A20 Gene by DRB Sensitivity-inducing Factor (DSIF). Journal of Biological Chemistry. 283(3). 1317–1323. 22 indexed citations
15.
Silkov, Antonina, Orit Wolstein, Idit Shachar, & Rivka Dikstein. (2002). Enhanced Apoptosis of B and T Lymphocytes in TAFII105 Dominant-negative Transgenic Mice Is Linked to Nuclear Factor-κB. Journal of Biological Chemistry. 277(20). 17821–17829. 15 indexed citations
16.
Matza, Didi, Orit Wolstein, Rivka Dikstein, & Idit Shachar. (2001). Invariant Chain Induces B Cell Maturation by Activating a TAFII105-NF-κB-dependent Transcription Program. Journal of Biological Chemistry. 276(29). 27203–27206. 95 indexed citations
17.
Wolstein, Orit, et al.. (2000). Interaction of TAFII105 with Selected p65/RelA Dimers Is Associated with Activation of Subset of NF-κB Genes. Journal of Biological Chemistry. 275(24). 18180–18187. 36 indexed citations
18.
Wolstein, Orit, et al.. (2000). Specific Interaction of TAFII105 with OCA-B Is Involved in Activation of Octamer-dependent Transcription. Journal of Biological Chemistry. 275(22). 16459–16465. 18 indexed citations
19.
Dikstein, Rivka, Sharleen Zhou, & Robert Tjian. (1996). Human TAFII105 Is a Cell Type–Specific TFIID Subunit Related to hTAFII130. Cell. 87(1). 137–146. 146 indexed citations
20.
Dikstein, Rivka, Siegfried Ruppert, & Robert Tjian. (1996). TAFII250 Is a Bipartite Protein Kinase That Phosphorylates the Basal Transcription Factor RAP74. Cell. 84(5). 781–790. 170 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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