Merav Socolovsky

5.8k total citations · 2 hit papers
52 papers, 4.4k citations indexed

About

Merav Socolovsky is a scholar working on Physiology, Molecular Biology and Oncology. According to data from OpenAlex, Merav Socolovsky has authored 52 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 25 papers in Molecular Biology and 15 papers in Oncology. Recurrent topics in Merav Socolovsky's work include Erythrocyte Function and Pathophysiology (27 papers), Cytokine Signaling Pathways and Interactions (11 papers) and Immune Cell Function and Interaction (8 papers). Merav Socolovsky is often cited by papers focused on Erythrocyte Function and Pathophysiology (27 papers), Cytokine Signaling Pathways and Interactions (11 papers) and Immune Cell Function and Interaction (8 papers). Merav Socolovsky collaborates with scholars based in United States, Netherlands and Germany. Merav Socolovsky's co-authors include Harvey F. Lodish, Carlo Brugnara, Volker H. Haase, Hyung-song Nam, Ramona Pop, Mark D. Fleming, Jonathan N. Glickman, Rudolf Jaenisch, Daniel Hidalgo and Alec W. Gross and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Merav Socolovsky

51 papers receiving 4.4k citations

Hit Papers

Fetal Anemia and Apoptosis of Red Cell Progenitors in Sta... 1999 2026 2008 2017 1999 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Merav Socolovsky United States 30 2.5k 1.3k 1.1k 974 867 52 4.4k
Amittha Wickrema United States 38 1.8k 0.7× 1.0k 0.8× 1.6k 1.4× 855 0.9× 740 0.9× 111 3.9k
Stany Chrétien France 29 1.9k 0.8× 522 0.4× 873 0.8× 970 1.0× 506 0.6× 64 3.4k
Leslie V. Parise United States 40 2.1k 0.8× 606 0.5× 1.6k 1.5× 496 0.5× 929 1.1× 95 4.8k
Sylvie Gisselbrecht France 40 2.1k 0.8× 462 0.4× 1.5k 1.3× 1.6k 1.7× 703 0.8× 98 4.3k
Takehiko Kamijo Japan 37 5.1k 2.0× 805 0.6× 601 0.5× 3.2k 3.2× 373 0.4× 114 7.1k
Vijay G. Sankaran United States 45 4.7k 1.9× 1.1k 0.8× 2.3k 2.1× 490 0.5× 3.2k 3.7× 146 7.7k
Evan Parganas United States 28 2.5k 1.0× 278 0.2× 1.3k 1.2× 2.4k 2.5× 771 0.9× 37 5.4k
Masaru Niki Japan 21 2.2k 0.9× 583 0.4× 389 0.3× 840 0.9× 189 0.2× 27 3.4k
Michael Kluk United States 29 2.9k 1.2× 357 0.3× 516 0.5× 606 0.6× 309 0.4× 53 4.3k
Jacqueline E. Damen Canada 25 2.2k 0.9× 548 0.4× 489 0.4× 887 0.9× 483 0.6× 42 3.9k

Countries citing papers authored by Merav Socolovsky

Since Specialization
Citations

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

Fields of papers citing papers by Merav Socolovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merav Socolovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Merav Socolovsky. A scholar is included among the top collaborators of Merav Socolovsky 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 Merav Socolovsky. Merav Socolovsky 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
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Socolovsky, Merav. (2022). The role of specialized cell cycles during erythroid lineage development: insights from single-cell RNA sequencing. International Journal of Hematology. 116(2). 163–173. 6 indexed citations
4.
Hidalgo, Daniel, Jacob Bejder, Ramona Pop, et al.. (2021). EpoR stimulates rapid cycling and larger red cells during mouse and human erythropoiesis. Nature Communications. 12(1). 7334–7334. 29 indexed citations
5.
Oudelaar, A. Marieke, Robert A. Beagrie, Matthew Gosden, et al.. (2020). Dynamics of the 4D genome during in vivo lineage specification and differentiation. Nature Communications. 11(1). 2722–2722. 77 indexed citations
6.
Hwang, Yung, Daniel Hidalgo, & Merav Socolovsky. (2020). The shifting shape and functional specializations of the cell cycle during lineage development. PubMed. 13(2). e1504–e1504. 11 indexed citations
7.
Weinreb, Caleb, Samuel L. Wolock, Betsabeh Khoramian Tusi, Merav Socolovsky, & Allon M. Klein. (2018). Fundamental limits on dynamic inference from single-cell snapshots. Proceedings of the National Academy of Sciences. 115(10). E2467–E2476. 189 indexed citations
8.
Tusi, Betsabeh Khoramian, Samuel L. Wolock, Caleb Weinreb, et al.. (2018). Population snapshots predict early haematopoietic and erythroid hierarchies. Nature. 555(7694). 54–60. 244 indexed citations
9.
Hwang, Yung, Daniel Hidalgo, Ramona Pop, et al.. (2017). Global increase in replication fork speed during a p57 KIP2 -regulated erythroid cell fate switch. Science Advances. 3(5). e1700298–e1700298. 40 indexed citations
10.
Socolovsky, Merav, et al.. (2017). Global increase in replication fork speed during a p57KIP2-regulated erythroid cell fate switch. Experimental Hematology. 53. S29–S29. 1 indexed citations
11.
Koulnis, Miroslav, Ermelinda Porpiglia, Daniel Hidalgo, & Merav Socolovsky. (2014). Erythropoiesis: From Molecular Pathways to System Properties. Advances in experimental medicine and biology. 844. 37–58. 32 indexed citations
12.
Porpiglia, Ermelinda, Daniel Hidalgo, Miroslav Koulnis, Abraham R. Tzafriri, & Merav Socolovsky. (2012). Stat5 Signaling Specifies Basal versus Stress Erythropoietic Responses through Distinct Binary and Graded Dynamic Modalities. PLoS Biology. 10(8). e1001383–e1001383. 34 indexed citations
13.
Koulnis, Miroslav, Ying Liu, Kelly Hallstrom, & Merav Socolovsky. (2011). Negative Autoregulation by Fas Stabilizes Adult Erythropoiesis and Accelerates Its Stress Response. PLoS ONE. 6(7). e21192–e21192. 33 indexed citations
14.
Kang, Byoung Heon, Fang Xia, Ramona Pop, et al.. (2011). Developmental Control of Apoptosis by the Immunophilin Aryl Hydrocarbon Receptor-interacting Protein (AIP) Involves Mitochondrial Import of the Survivin Protein. Journal of Biological Chemistry. 286(19). 16758–16767. 36 indexed citations
15.
Pop, Ramona, Jeffrey R. Shearstone, Qichang Shen, et al.. (2010). A Key Commitment Step in Erythropoiesis Is Synchronized with the Cell Cycle Clock through Mutual Inhibition between PU.1 and S-Phase Progression. PLoS Biology. 8(9). e1000484–e1000484. 140 indexed citations
16.
Socolovsky, Merav, Michael P. Murrell, Ying Liu, et al.. (2007). Negative Autoregulation by FAS Mediates Robust Fetal Erythropoiesis. PLoS Biology. 5(10). e252–e252. 46 indexed citations
17.
Socolovsky, Merav, et al.. (1999). Fetal Anemia and Apoptosis of Red Cell Progenitors in Stat5a−/−5b−/− Mice. Cell. 98(2). 181–191. 584 indexed citations breakdown →
18.
Socolovsky, Merav, Stefan N. Constantinescu, Svetlana Bergelson, Allen Sirotkin, & H F Lodish. (1998). Cytokines in Hematopoiesis: Specificity and Redundancy in Receptor Function. Advances in protein chemistry. 52. 141–198. 19 indexed citations
19.
Socolovsky, Merav, Isabelle Dusanter‐Fourt, & Harvey F. Lodish. (1997). The Prolactin Receptor and Severely Truncated Erythropoietin Receptors Support Differentiation of Erythroid Progenitors. Journal of Biological Chemistry. 272(22). 14009–14012. 86 indexed citations
20.
Lagnado, Leon, et al.. (1990). GLUTAMATE ELEVATES FREE [CA]I IN TYPE-1 ASTROCYTES CULTURED FROM RAT CEREBRAL-CORTEX. UCL Discovery (University College London). 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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