Maxim Mogilevsky

588 total citations
9 papers, 423 citations indexed

About

Maxim Mogilevsky is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Maxim Mogilevsky has authored 9 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Oncology. Recurrent topics in Maxim Mogilevsky's work include RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and Glioma Diagnosis and Treatment (2 papers). Maxim Mogilevsky is often cited by papers focused on RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and Glioma Diagnosis and Treatment (2 papers). Maxim Mogilevsky collaborates with scholars based in Israel, United States and Germany. Maxim Mogilevsky's co-authors include Rotem Karni, Saran Kumar, Eylon Yavin, Eli Keshet, Iddo Paldor, Myriam Grunewald, Erez Y. Levanon, Miri Danan-Gotthold, Asaf Shilo and Tirzah Kreisel and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Maxim Mogilevsky

9 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maxim Mogilevsky Israel	9	342	133	52	40	35	9	423
Silvia Palumbo Italy	10	321 0.9×	224 1.7×	44 0.8×	35 0.9×	50 1.4×	12	500
Ji Shi China	10	175 0.5×	90 0.7×	53 1.0×	23 0.6×	39 1.1×	20	282
Dimitrios Strepkos United States	9	225 0.7×	65 0.5×	42 0.8×	55 1.4×	43 1.2×	28	349
Stephanie L. Lomonaco United States	5	212 0.6×	92 0.7×	97 1.9×	24 0.6×	56 1.6×	5	356
Ana I. Oliveira Portugal	11	272 0.8×	148 1.1×	109 2.1×	73 1.8×	38 1.1×	17	415
Shengqi Hou United States	8	230 0.7×	113 0.8×	58 1.1×	29 0.7×	15 0.4×	12	295
Kuniyasu Saigusa Japan	5	144 0.4×	60 0.5×	53 1.0×	28 0.7×	36 1.0×	17	231
Adriana Cruvinel Carloni Portugal	9	231 0.7×	101 0.8×	101 1.9×	32 0.8×	135 3.9×	14	392
Hye-Min Jeon United States	8	184 0.5×	80 0.6×	99 1.9×	46 1.1×	95 2.7×	11	325
Junyi Yin China	7	147 0.4×	90 0.7×	50 1.0×	58 1.4×	23 0.7×	8	254

Countries citing papers authored by Maxim Mogilevsky

Since Specialization

Citations

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

Fields of papers citing papers by Maxim Mogilevsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Mogilevsky

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Mogilevsky. A scholar is included among the top collaborators of Maxim Mogilevsky 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 Maxim Mogilevsky. Maxim Mogilevsky 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.

Lin, Kuan‐Ting, Chani Stossel, Zahava Siegfried, et al.. (2023). RBFOX2 modulates a metastatic signature of alternative splicing in pancreatic cancer. Nature. 617(7959). 147–153. 55 indexed citations

2.

Kumar, Saran, Myriam Grunewald, Maxim Mogilevsky, et al.. (2022). Identification of vascular cues contributing to cancer cell stemness and function. Angiogenesis. 25(3). 355–371. 14 indexed citations

3.

Rubinstein, Ariel M., Maxim Mogilevsky, Ronit Vogt Sionov, et al.. (2020). Dissecting the role of crosstalk between glioblastoma subpopulations in tumor cell spreading. Oncogenesis. 9(2). 11–11. 13 indexed citations

4.

Shilo, Asaf, Shaya Lev, Maxim Mogilevsky, et al.. (2019). 2-APB and CBD-Mediated Targeting of Charged Cytotoxic Compounds Into Tumor Cells Suggests the Involvement of TRPV2 Channels. Frontiers in Pharmacology. 10. 1198–1198. 19 indexed citations

5.

Kumar, Saran, Tirzah Kreisel, Maxim Mogilevsky, et al.. (2019). Intra-Tumoral Metabolic Zonation and Resultant Phenotypic Diversification Are Dictated by Blood Vessel Proximity. Cell Metabolism. 30(1). 201–211.e6. 82 indexed citations

6.

Mogilevsky, Maxim, Antoine Cléry, Thomas Welte, et al.. (2019). Specific inhibition of splicing factor activity by decoy RNA oligonucleotides. Nature Communications. 10(1). 1590–1590. 76 indexed citations

7.

Mogilevsky, Maxim, Saran Kumar, Eli Keshet, et al.. (2018). Modulation ofMKNK2alternative splicing by splice-switching oligonucleotides as a novel approach for glioblastoma treatment. Nucleic Acids Research. 46(21). 11396–11404. 50 indexed citations

8.

Mogilevsky, Maxim, et al.. (2017). CLIP6-PNA-Peptide Conjugates: Non-Endosomal Delivery of Splice Switching Oligonucleotides. Bioconjugate Chemistry. 28(12). 3036–3042. 21 indexed citations

9.

Mogilevsky, Maxim, Asaf Shilo, Regina Golan‐Gerstl, et al.. (2014). Mnk2 Alternative Splicing Modulates the p38-MAPK Pathway and Impacts Ras-Induced Transformation. Cell Reports. 7(2). 501–513. 93 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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