Shay Geula

6.1k total citations · 2 hit papers
10 papers, 1.8k citations indexed

About

Shay Geula is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Shay Geula has authored 10 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Shay Geula's work include RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers) and Pluripotent Stem Cells Research (2 papers). Shay Geula is often cited by papers focused on RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers) and Pluripotent Stem Cells Research (2 papers). Shay Geula collaborates with scholars based in Israel, United States and Germany. Shay Geula's co-authors include Jacob H. Hanna, Varda Shoshan‐Barmatz, John J. Fak, Yuhki Saito, James Darnell, Shengdong Ke, Robert B. Darnell, Amy Pandya‐Jones, Cathrine Broberg Vågbø and Douglas L. Black and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Neuron.

In The Last Decade

Shay Geula

10 papers receiving 1.8k citations

Hit Papers

m6A mRNA modifications are deposited in nascent pre-mRNA ... 2017 2026 2020 2023 2017 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shay Geula Israel 9 1.8k 605 175 87 81 10 1.8k
Ruitu Lv China 14 1.7k 1.0× 617 1.0× 188 1.1× 145 1.7× 92 1.1× 15 1.9k
Erin E. Duffy United States 9 1.2k 0.7× 505 0.8× 82 0.5× 100 1.1× 119 1.5× 12 1.4k
Xiaoyang Dou United States 17 1.5k 0.9× 580 1.0× 134 0.8× 103 1.2× 49 0.6× 26 1.6k
Minoru Terashima Japan 21 1.1k 0.6× 471 0.8× 35 0.2× 125 1.4× 43 0.5× 40 1.3k
Jörg Bungert United States 29 2.0k 1.1× 244 0.4× 33 0.2× 109 1.3× 95 1.2× 66 2.3k
Erik Dassi Italy 17 1.3k 0.7× 360 0.6× 39 0.2× 85 1.0× 28 0.3× 41 1.4k
Ly Vu United States 14 1.5k 0.8× 666 1.1× 186 1.1× 143 1.6× 78 1.0× 38 1.7k
Abhinav Dhall United States 14 1.0k 0.6× 163 0.3× 25 0.1× 110 1.3× 61 0.8× 18 1.1k
Zuoyun Wang China 15 429 0.2× 98 0.2× 278 1.6× 95 1.1× 34 0.4× 32 1.0k
Eric Flatter France 13 869 0.5× 130 0.2× 33 0.2× 338 3.9× 201 2.5× 16 1.1k

Countries citing papers authored by Shay Geula

Since Specialization
Citations

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

Fields of papers citing papers by Shay Geula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shay Geula

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

All Works

10 of 10 papers shown
1.
Lee, Heather, Suying Bao, Shay Geula, et al.. (2019). Stage-specific requirement for Mettl3-dependent m6A mRNA methylation during haematopoietic stem cell differentiation. Nature Cell Biology. 21(6). 700–709. 179 indexed citations
2.
Winkler, Roni, Lior Lasman, Modi Safra, et al.. (2018). m6A modification controls the innate immune response to infection by targeting type I interferons. Nature Immunology. 20(2). 173–182. 335 indexed citations
3.
Engel, Mareen, Carola Eggert, Paul M. Kaplick, et al.. (2018). The Role of m6A/m-RNA Methylation in Stress Response Regulation. Neuron. 99(2). 389–403.e9. 307 indexed citations breakdown →
4.
Ke, Shengdong, Amy Pandya‐Jones, Yuhki Saito, et al.. (2017). m6A mRNA modifications are deposited in nascent pre-mRNA and are not required for splicing but do specify cytoplasmic turnover. Genes & Development. 31(10). 990–1006. 425 indexed citations breakdown →
5.
Maza, Itay, Inbal Caspi, Asaf Zviran, et al.. (2015). Transient acquisition of pluripotency during somatic cell transdifferentiation with iPSC reprogramming factors. Nature Biotechnology. 33(7). 769–774. 101 indexed citations
6.
Mansour, Abed AlFatah, Ohad Gafni, Leehee Weinberger, et al.. (2012). The H3K27 demethylase Utx regulates somatic and germ cell epigenetic reprogramming. Nature. 488(7411). 409–413. 261 indexed citations
7.
Geula, Shay, Danya Ben-Hail, & Varda Shoshan‐Barmatz. (2012). Structure-based analysis of VDAC1: N-terminus location, translocation, channel gating and association with anti-apoptotic proteins. Biochemical Journal. 444(3). 475–485. 89 indexed citations
8.
Geula, Shay, Hammad Naveed, Jie Liang, & Varda Shoshan‐Barmatz. (2011). Structure-based Analysis of VDAC1 Protein. Journal of Biological Chemistry. 287(3). 2179–2190. 72 indexed citations
9.
Geula, Shay, Nir Arbel, & Varda Shoshan‐Barmatz. (2010). VDAC1 cysteine residues: Topology and function in channel activity and apoptosis. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1797. 67–68. 1 indexed citations
10.
Aram, Lior, Shay Geula, Nir Arbel, & Varda Shoshan‐Barmatz. (2010). VDAC1 cysteine residues: topology and function in channel activity and apoptosis. Biochemical Journal. 427(3). 445–454. 45 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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