Rivka Dikstein

3.0k citations
61 papers · 2.3k · h-index 28

Impact in

    • NF-κB Signaling Pathways
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering

Papers in

    • RNA Research and Splicing 23
    • RNA and protein synthesis mechanisms 22
    • RNA modifications and cancer 17
    • Genomics and Chromatin Dynamics 10
    • NF-κB Signaling Pathways 17

Rivka Dikstein

59 papers receiving 2.3k citations

Peers

Rivka Dikstein
Comparison fields: 5 of 92
  • Cancer Research 383
  • Molecular Biology 1.7k
  • Immunology 400
  • Aging 32
  • Virology 81
Replace Daeyoup Lee with:
Daeyoup Lee South Korea
Lev P. Ovchinnikov Russia
Roderick Bronson United States
Antje Ostareck‐Lederer Germany
Adrian R. Krainer United States
Naoki Shimbara Japan
Lene Malerød Norway
Naoyuki Kataoka Japan
Nahum Sonenberg Canada
Joseph T. Bruder United States
Rivka Dikstein relative to Daeyoup Lee South Korea Daeyoup Lee's profile →
Citations per field
00.5×1.5×
Daeyoup Lee · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Rivka Dikstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rivka Dikstein Line = papers co-authored together Rivka Dikstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996170
2 1996146
3 2010122
4 1989113
5 2002100
6 200195
7 201387
8 201181
9 200875
10 201573
11 200768
12 199063
13 201760
14 200758
15 201556
16 200453
17 201149
18 199248
19 202047
20 200444

About Rivka Dikstein

Rivka Dikstein is a scholar working on Molecular Biology, Cancer Research, Immunology, Epidemiology and Virology, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (23 papers), RNA and protein synthesis mechanisms (22 papers), RNA modifications and cancer (17 papers), NF-κB Signaling Pathways (17 papers), Immune Response and Inflammation (12 papers), Genomics and Chromatin Dynamics (10 papers), interferon and immune responses (6 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Cancer Research (383 citations), Molecular Biology (1.7k citations), Immunology (400 citations), Aging (32 citations) and Virology (81 citations). Rivka Dikstein has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Robert Tjian, Yosef Shaul, Orit Wolstein, Nadav Bar, Siegfried Ruppert, Ouriel Faktor, Ora Haimov, Sharleen Zhou, Idit Shachar and Elena Ainbinder. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Nucleic Acids Research, Nature Communications and Cell.

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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